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  1. static/BIKE DETAILS.csv +1062 -0
  2. static/WA_Fn-UseC_-Telco-Customer-Churn.csv +0 -0
  3. static/analysis_report.pdf +0 -0
  4. static/correlation_matrix.png +0 -0
  5. static/dtree_classifier.png +0 -0
  6. static/galvatron.png +0 -0
  7. static/healthcare-dataset-stroke-data.csv +0 -0
  8. static/loan_approval_dataset.csv +0 -0
  9. static/loan_data.csv +0 -0
  10. static/multiclass_barplot.png +0 -0
  11. static/multiclass_histplot.png +0 -0
  12. static/pair1.png +0 -0
  13. static/pair2.png +0 -0
  14. static/plot1.png +0 -0
  15. static/plot2.png +0 -0
  16. static/rf_classifier.png +0 -0
  17. templates/upload.html +226 -0
  18. webapp.py +856 -0
static/BIKE DETAILS.csv ADDED
@@ -0,0 +1,1062 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ name,selling_price,year,seller_type,owner,km_driven,ex_showroom_price
2
+ Royal Enfield Classic 350,175000,2019,Individual,1st owner,350,
3
+ Honda Dio,45000,2017,Individual,1st owner,5650,
4
+ Royal Enfield Classic Gunmetal Grey,150000,2018,Individual,1st owner,12000,148114
5
+ Yamaha Fazer FI V 2.0 [2016-2018],65000,2015,Individual,1st owner,23000,89643
6
+ Yamaha SZ [2013-2014],20000,2011,Individual,2nd owner,21000,
7
+ Honda CB Twister,18000,2010,Individual,1st owner,60000,53857
8
+ Honda CB Hornet 160R,78500,2018,Individual,1st owner,17000,87719
9
+ Royal Enfield Bullet 350 [2007-2011],180000,2008,Individual,2nd owner,39000,
10
+ Hero Honda CBZ extreme,30000,2010,Individual,1st owner,32000,
11
+ Bajaj Discover 125,50000,2016,Individual,1st owner,42000,60122
12
+ Yamaha FZ16,35000,2015,Individual,1st owner,32000,78712
13
+ Honda Navi,28000,2016,Individual,2nd owner,10000,47255
14
+ Bajaj Avenger Street 220,80000,2018,Individual,1st owner,21178,95955
15
+ Yamaha YZF R3,365000,2019,Individual,1st owner,1127,351680
16
+ Jawa 42,185000,2020,Individual,1st owner,1700,
17
+ Suzuki Access 125 [2007-2016],25000,2012,Individual,1st owner,55000,58314
18
+ Hero Honda Glamour,25000,2006,Individual,1st owner,27000,
19
+ Yamaha YZF R15 S,40000,2010,Individual,2nd owner,45000,117926
20
+ Royal Enfield Classic Gunmetal Grey,150000,2018,Individual,1st owner,23000,148114
21
+ Yamaha FZ25,120000,2018,Individual,1st owner,39000,132680
22
+ Hero Passion Pro 110,15000,2008,Individual,1st owner,60000,
23
+ Honda Navi [2016-2017],26000,2016,Individual,1st owner,17450,44389
24
+ Honda Activa i,32000,2013,Individual,2nd owner,20696,53900
25
+ Jawa Standard,180000,2019,Individual,1st owner,2000,
26
+ Royal Enfield Thunderbird 350,110000,2016,Individual,1st owner,20000,
27
+ Honda Dream Yuga,25000,2012,Individual,1st owner,35000,56147
28
+ TVS Apache RTR 160 4V,80000,2018,Individual,1st owner,15210,
29
+ Honda Navi [2016-2017],42000,2017,Individual,1st owner,24000,44389
30
+ Yamaha Fazer [2009-2016],40000,2013,Individual,3rd owner,35000,84751
31
+ Hero Honda Splendor NXG,21000,2009,Individual,1st owner,10000,
32
+ Hero Glamour 125,55000,2017,Individual,1st owner,2500,61600
33
+ Yamaha FZ S [2012-2016],38000,2013,Individual,1st owner,75000,79432
34
+ Hero Xtreme Sports,43000,2016,Individual,2nd owner,50000,78350
35
+ Honda X-Blade,65000,2018,Individual,1st owner,27000,
36
+ Honda CB Shine SP,62000,2019,Individual,1st owner,10000,71049
37
+ Honda Activa 5G,60000,2018,Individual,1st owner,6502,57557
38
+ Hero Glamour 125,45000,2018,Individual,1st owner,21000,61600
39
+ Honda CBR-250R,120000,2016,Individual,1st owner,16000,202310
40
+ Hero Honda Passion PRO [2012],30000,2011,Individual,1st owner,42000,
41
+ Royal Enfield Thunderbird 350,90000,2015,Individual,3rd owner,13000,
42
+ Bajaj Dominar 400,125000,2017,Individual,1st owner,12800,
43
+ Hero Glamour FI,50000,2018,Individual,1st owner,20000,71150
44
+ KTM 390 Duke,175000,2017,Individual,1st owner,4600,
45
+ Hero Passion XPro,28000,2012,Individual,1st owner,81000,56750
46
+ Yamaha FZ S V 2.0,85000,2018,Individual,1st owner,8000,84042
47
+ Hero Achiever 150,29900,2016,Individual,1st owner,55000,69750
48
+ Bajaj Discover 125,25000,2011,Individual,1st owner,57000,60122
49
+ Yamaha FZ16,30000,2009,Individual,2nd owner,26000,78712
50
+ Yamaha Saluto,60000,2018,Individual,1st owner,13000,59844
51
+ Yamaha FZ16,35000,2012,Individual,2nd owner,29000,78712
52
+ Bajaj Discover 100,25000,2010,Individual,1st owner,43000,42859
53
+ Honda CB Trigger,30000,2015,Individual,1st owner,40000,73413
54
+ Royal Enfield Electra 5 S,90000,2010,Individual,2nd owner,40000,
55
+ Hero Splendor PRO,35000,2015,Individual,2nd owner,24000,49900
56
+ Honda Activa 5G,70000,2019,Individual,1st owner,3000,59422
57
+ Hero Honda Passion Plus,25000,2006,Individual,1st owner,75000,
58
+ Bajaj Pulsar 150,25000,2010,Individual,1st owner,42000,
59
+ Royal Enfield Bullet 350,90000,2014,Individual,1st owner,13000,
60
+ Bajaj Discover 125,25000,2013,Individual,1st owner,55000,57549
61
+ Bajaj Pulsar 150 [2001-2011],42000,2011,Individual,1st owner,23000,
62
+ Hero Splendor PRO,35000,2015,Individual,2nd owner,24000,51994
63
+ Hero Xtreme Sports,50000,2014,Individual,1st owner,80000,80350
64
+ Honda Activa 3G,30000,2015,Individual,1st owner,39000,54605
65
+ Yamaha FZ16,48000,2016,Individual,1st owner,20000,78712
66
+ Honda CB Hornet 160R,65000,2016,Individual,1st owner,30000,88161
67
+ Royal Enfield Thunderbird 350,85000,2013,Individual,1st owner,21000,
68
+ Hero Hunk,45000,2014,Individual,1st owner,41000,78513
69
+ Suzuki Let''s,34000,2014,Individual,1st owner,8000,50098
70
+ Royal Enfield Electra 4 S,90000,2008,Individual,1st owner,50000,
71
+ TVS Scooty Pep Plus,35000,2012,Individual,1st owner,8150,
72
+ Mahindra Mojo XT300,165000,2017,Individual,1st owner,1933,195500
73
+ TVS Apache RTR 160,35000,2013,Individual,1st owner,55750,
74
+ Bajaj Pulsar AS200,65000,2015,Individual,1st owner,15856,92074
75
+ Bajaj Pulsar 150,29500,2013,Individual,1st owner,27000,
76
+ Royal Enfield Thunderbird 350X,165000,2019,Individual,1st owner,3700,164004
77
+ Suzuki Intruder 150,95000,2018,Individual,1st owner,21938,
78
+ Hero Honda Karizma ZMR [2010],50000,2010,Individual,1st owner,48000,
79
+ Honda Dio,7500,2009,Individual,2nd owner,16000,
80
+ Bajaj Xcd,25000,2008,Individual,1st owner,54000,
81
+ Hero Splendor Plus,35000,2014,Individual,2nd owner,35000,
82
+ Royal Enfield Thunderbird 350X,160000,2018,Individual,1st owner,15000,
83
+ Honda CB Unicorn 150,50000,2014,Individual,1st owner,32000,74295
84
+ Honda Activa 5G,62000,2019,Individual,1st owner,3500,57557
85
+ Honda CB Twister,30000,2013,Individual,1st owner,9000,53857
86
+ Hero Splendor PRO,28000,2015,Individual,1st owner,38000,49642
87
+ Hero Honda CD Deluxe,25000,2009,Individual,1st owner,50000,
88
+ Honda Activa i [2016-2017],30000,2015,Individual,2nd owner,20000,51112
89
+ Royal Enfield Classic Gunmetal Grey,140000,2018,Individual,1st owner,22000,148114
90
+ TVS Scooty Zest 110,30000,2017,Individual,1st owner,9432,53751
91
+ Hero CD Deluxe,25000,2014,Individual,1st owner,70000,
92
+ Suzuki Access 125 [2007-2016],22000,2010,Individual,2nd owner,43000,58314
93
+ Honda Activa [2000-2015],22989,2012,Individual,1st owner,500000,50267
94
+ Honda Activa 125 [2016-2017],42000,2016,Individual,1st owner,30514,61653
95
+ Suzuki GS150R,30000,2010,Individual,1st owner,130000,70851
96
+ Bajaj Pulsar 220S,55000,2015,Individual,1st owner,45000,
97
+ Honda Activa 4G,45000,2018,Individual,1st owner,25000,53079
98
+ Yamaha FZ25,150000,2019,Individual,1st owner,2500,133680
99
+ Bajaj Pulsar 150,42000,2015,Individual,1st owner,22770,
100
+ Hero Splendor Plus,30000,2015,Individual,1st owner,30000,
101
+ Bajaj Discover 100,24999,2012,Individual,2nd owner,35000,42859
102
+ Royal Enfield Thunderbird 350X,160000,2019,Individual,1st owner,6330,
103
+ Royal Enfield Classic 350,175000,2020,Individual,1st owner,500,
104
+ Bajaj Pulsar 150,40000,2013,Individual,1st owner,43400,
105
+ Bajaj Pulsar NS160,85000,2018,Individual,1st owner,7004,
106
+ Royal Enfield Classic Desert Storm,150000,2017,Individual,1st owner,16500,181445
107
+ Suzuki Gixxer SF,80000,2018,Individual,1st owner,12500,
108
+ TVS Apache RTR 200 4V,95000,2018,Individual,1st owner,9600,
109
+ Bajaj V15,42000,2016,Individual,1st owner,35000,65626
110
+ TVS XL 100 Heavy Duty,40000,2019,Individual,1st owner,11000,
111
+ Yamaha FZ S V 2.0,50000,2015,Individual,1st owner,20000,84042
112
+ Hero HF Deluxe,40000,2018,Individual,1st owner,13000,
113
+ Aprilia SR 125,75000,2019,Individual,1st owner,3500,
114
+ Yamaha FZ25,120000,2017,Individual,1st owner,9000,132680
115
+ Hero Honda Glamour,30000,2008,Individual,1st owner,7500,
116
+ Bajaj Discover 125 ST,17500,2013,Individual,1st owner,38000,58438
117
+ Hero Honda Passion Plus,7500,2004,Individual,1st owner,120000,
118
+ Honda Aviator,57000,2018,Individual,1st owner,6465,61118
119
+ Vespa SXL 149,80000,2018,Individual,1st owner,18803,
120
+ TVS Scooty Pep Plus,18000,2010,Individual,1st owner,20000,
121
+ Hero Xtreme [2013-2014],25000,2013,Individual,1st owner,24000,75936
122
+ Royal Enfield Thunderbird 350,83900,2014,Individual,2nd owner,22000,
123
+ UM Renegade Commando,160000,2018,Individual,1st owner,7000,180525
124
+ Royal Enfield Classic Gunmetal Grey,135000,2018,Individual,1st owner,6100,148114
125
+ Honda CB Hornet 160R,55000,2017,Individual,1st owner,14000,87543
126
+ Honda Shine,50000,2017,Individual,1st owner,23000,
127
+ Bajaj Discover 100,20000,2012,Individual,1st owner,85000,42859
128
+ Hero Honda CBZ extreme,25000,2010,Individual,1st owner,40000,
129
+ Royal Enfield Classic 350,125000,2017,Individual,1st owner,18000,
130
+ Honda Activa 5G,55000,2019,Individual,1st owner,10000,57557
131
+ Bajaj Avenger Street 150 [2018],50000,2016,Individual,1st owner,40000,80435
132
+ Royal Enfield Continental GT 650,299000,2019,Individual,1st owner,1500,
133
+ Honda Activa 3G,60000,2015,Individual,1st owner,30000,54605
134
+ Honda Activa 3G,40000,2015,Individual,1st owner,3000,54605
135
+ Bajaj Pulsar 180,15000,2008,Individual,1st owner,55000,85011
136
+ Harley-Davidson Street Bob,750000,2013,Individual,2nd owner,12000,1278000
137
+ Hero Honda CBZ extreme,20000,2007,Individual,1st owner,90000,
138
+ Royal Enfield Classic Gunmetal Grey,190000,2020,Individual,1st owner,500,155740
139
+ KTM 390 Duke ABS [2013-2016],130000,2015,Individual,1st owner,50000,202127
140
+ Honda CB Hornet 160R,54786,2016,Individual,1st owner,25000,88161
141
+ KTM 200 Duke,72000,2013,Individual,1st owner,36500,
142
+ Hero Karizma 2014,35000,2013,Individual,1st owner,26000,86744
143
+ Hero Glamour 125,45000,2017,Individual,1st owner,18000,61600
144
+ Royal Enfield Classic 350,85000,2013,Individual,1st owner,49000,
145
+ Royal Enfield Classic 500,100000,2013,Individual,1st owner,18000,156304
146
+ Bajaj Dominar 400,138000,2017,Individual,1st owner,15000,
147
+ Royal Enfield Thunderbird 350X,150000,2018,Individual,1st owner,8500,
148
+ KTM RC 390,180000,2017,Individual,1st owner,3775,
149
+ Royal Enfield Thunderbird 350,100000,2015,Individual,1st owner,14500,
150
+ Hero Hunk,20000,2010,Individual,1st owner,35000,78513
151
+ KTM 390 Duke,170000,2017,Individual,1st owner,14000,
152
+ Suzuki Gixxer [2014-2018],60000,2016,Individual,1st owner,16000,84246
153
+ Royal Enfield Bullet 350,123000,2016,Individual,1st owner,7000,
154
+ Suzuki Access 125,60000,2017,Individual,1st owner,4000,
155
+ TVS Apache RTR 200 4V,100000,2017,Individual,1st owner,45000,
156
+ Hero Xtreme Sports,22000,2014,Individual,1st owner,99000,78350
157
+ Honda Activa [2000-2015],30000,2014,Individual,1st owner,52000,50267
158
+ Bajaj Discover 125,28000,2013,Individual,1st owner,45000,60122
159
+ Bajaj Pulsar 150,50000,2007,Individual,1st owner,52000,
160
+ Yamaha Saluto RX,40000,2017,Individual,1st owner,27000,49521
161
+ Hero HF Deluxe,43000,2018,Individual,1st owner,60000,
162
+ Suzuki Access 125,40000,2015,Individual,1st owner,2300,
163
+ Royal Enfield Classic Desert Storm,100000,2012,Individual,1st owner,15000,181445
164
+ Hero HF Deluxe,30000,2016,Individual,1st owner,50000,
165
+ KTM RC 200,130000,2017,Individual,1st owner,27000,
166
+ Honda CB Hornet 160R,48000,2016,Individual,2nd owner,25000,88161
167
+ Bajaj CT 100,32000,2017,Individual,1st owner,40000,
168
+ Hero Honda Pleasure,23000,2010,Individual,1st owner,32000,
169
+ Bajaj Pulsar 135 LS,20000,2010,Individual,2nd owner,50000,64589
170
+ Royal Enfield Classic 350,125000,2017,Individual,1st owner,36000,
171
+ Honda Navi [2016-2017],23000,2016,Individual,1st owner,17450,44389
172
+ Bajaj Discover 125,15000,2011,Individual,1st owner,32000,57549
173
+ Yamaha SZ RR V 2.0,35000,2015,Individual,1st owner,38000,69983
174
+ Bajaj Discover 150,25000,2014,Individual,2nd owner,71000,54299
175
+ Bajaj Pulsar 150,80000,2019,Individual,1st owner,8000,
176
+ TVS Flame,15000,2010,Individual,1st owner,12000,
177
+ Vespa VX 125,45000,2013,Individual,2nd owner,50000,72303
178
+ Yamaha SZ X,25000,2012,Individual,2nd owner,30000,65800
179
+ Honda CBF Stunner,35000,2013,Individual,1st owner,15888,58757
180
+ Bajaj Discover 100 T,25000,2013,Individual,1st owner,26000,47032
181
+ Royal Enfield Classic 350,170000,2018,Individual,1st owner,5600,
182
+ Honda Activa [2000-2015],25000,2014,Individual,1st owner,41000,50267
183
+ Royal Enfield Electra 5 S,60000,2007,Individual,2nd owner,19612,
184
+ Bajaj Pulsar 150,41000,2012,Individual,1st owner,17000,
185
+ Honda Shine,35000,2012,Individual,1st owner,33700,
186
+ Honda CB Unicorn 160,75000,2015,Individual,1st owner,100000,79233
187
+ Honda Activa 3G,47999,2016,Individual,1st owner,6000,54605
188
+ Honda Shine,36999,2011,Individual,1st owner,21000,
189
+ Bajaj Pulsar 180,25000,2007,Individual,1st owner,80000,85011
190
+ Suzuki Gixxer SF,60000,2016,Individual,1st owner,15000,
191
+ Honda CB Unicorn 150,50000,2007,Individual,1st owner,46000,74295
192
+ Yamaha YZF R15 [2011-2018],65000,2013,Individual,1st owner,11000,118997
193
+ TVS Sport,12000,2007,Individual,1st owner,72000,
194
+ Bajaj Pulsar AS200,60000,2015,Individual,1st owner,50000,92074
195
+ Honda Activa [2000-2015],20000,2010,Individual,1st owner,50000,50267
196
+ Yamaha FZ16,27000,2011,Individual,1st owner,67000,78712
197
+ Bajaj Boxer,10000,2000,Individual,1st owner,30000,
198
+ Hero Honda Hunk,56000,2015,Individual,1st owner,48000,
199
+ Hero Honda Hunk,58000,2015,Individual,1st owner,48000,
200
+ Bajaj Avenger Cruise 220,87000,2018,Individual,1st owner,8000,
201
+ Yamaha Ray Z,35000,2015,Individual,1st owner,15500,52949
202
+ Bajaj Pulsar 180,35000,2012,Individual,1st owner,45000,85011
203
+ Bajaj Discover 150F,40000,2014,Individual,2nd owner,60855,64071
204
+ Bajaj Pulsar 135 LS,56000,2017,Individual,3rd owner,37714,64589
205
+ Bajaj Pulsar 180,30000,2008,Individual,2nd owner,60000,85011
206
+ Honda Activa 125 [2016-2017],40000,2017,Individual,1st owner,26000,61545
207
+ Hero HF Deluxe,60000,2019,Individual,1st owner,6000,
208
+ Hero Karizma 2014,40000,2013,Individual,1st owner,30000,86744
209
+ Bajaj Platina 100,40000,2018,Individual,1st owner,17000,
210
+ Royal Enfield Bullet 500,130000,2015,Individual,1st owner,34601,168482
211
+ Bajaj Pulsar AS200,45000,2015,Individual,1st owner,48000,92074
212
+ Yamaha FZ S [2012-2016],42000,2013,Individual,1st owner,60000,79432
213
+ Bajaj Pulsar 220 Fi,25000,2012,Individual,1st owner,44000,
214
+ Bajaj Pulsar 150,15000,2006,Individual,1st owner,55000,
215
+ Bajaj Dominar 400 [2018],170000,2018,Individual,1st owner,16000,163331
216
+ Hero Passion X Pro [2016-2017],38000,2016,Individual,2nd owner,20000,59095
217
+ Yamaha FZ S V 2.0,60000,2015,Individual,2nd owner,17500,84042
218
+ TVS Apache RTR 160,65000,2017,Individual,1st owner,46000,
219
+ Bajaj Avenger [2015],35000,2011,Individual,1st owner,30000,75502
220
+ Bajaj Pulsar 150,70000,2019,Individual,1st owner,6500,
221
+ Hero Honda Glamour,15000,2006,Individual,1st owner,80000,
222
+ Hero Splendor iSmart,50000,2017,Individual,2nd owner,10000,52271
223
+ Royal Enfield Classic 350,145000,2017,Individual,1st owner,2200,
224
+ Yamaha FZ16,25000,2008,Individual,1st owner,40000,78712
225
+ Hero Xtreme Sports,58000,2016,Individual,1st owner,21000,80350
226
+ Royal Enfield Bullet 350 [2007-2011],90000,2007,Individual,1st owner,3500,
227
+ Hero Honda Passion,9000,2002,Individual,2nd owner,66191,
228
+ Bajaj Discover 150S,40000,2014,Individual,1st owner,50000,63331
229
+ TVS Scooty Zest 110,28000,2015,Individual,1st owner,32800,52372
230
+ Bajaj Avenger Street 150 [2018],50000,2016,Individual,1st owner,32000,80435
231
+ Yamaha Cygnus Ray ZR,56000,2019,Individual,1st owner,3900,58630
232
+ Honda Activa [2000-2015],35000,2014,Individual,1st owner,10000,50267
233
+ TVS Apache RTR 200 4V,95000,2018,Individual,1st owner,9600,
234
+ Honda Shine,30000,2010,Individual,1st owner,46782,
235
+ Honda CB Hornet 160R,95000,2019,Individual,1st owner,8000,94703
236
+ Honda Activa i [2016-2017],40000,2017,Individual,1st owner,11000,53436
237
+ Hero Karizma 2014,30000,2014,Individual,2nd owner,51000,86744
238
+ Bajaj Discover 100 T,18000,2013,Individual,1st owner,45000,47032
239
+ Honda Aviator,14000,2008,Individual,1st owner,66000,59183
240
+ Hero Splendor Plus,17000,2010,Individual,2nd owner,50000,
241
+ Royal Enfield Thunderbird 350,125000,2017,Individual,1st owner,23500,
242
+ Bajaj CT 110,20000,2015,Individual,1st owner,25000,
243
+ Hero Passion PRO i3s,50000,2017,Individual,1st owner,41000,56925
244
+ KTM RC 390,210000,2017,Individual,1st owner,12000,
245
+ Bajaj Pulsar 220F,70000,2018,Individual,1st owner,33000,
246
+ Hero Maestro Edge,40000,2017,Individual,1st owner,15000,55980
247
+ Bajaj Xcd,10000,2008,Individual,1st owner,50000,
248
+ Bajaj Pulsar 150,35000,2010,Individual,1st owner,40000,
249
+ TVS Centra,10000,2005,Individual,1st owner,50000,
250
+ Honda Activa 3G,42000,2015,Individual,1st owner,20000,54605
251
+ Yamaha FZ16,20000,2009,Individual,1st owner,50000,78712
252
+ Hero Maestro Edge,25000,2017,Individual,1st owner,55000,52790
253
+ Bajaj Discover 125,25000,2016,Individual,1st owner,70350,60122
254
+ Royal Enfield Thunderbird 350X,145000,2019,Individual,1st owner,2700,164004
255
+ Hero Super Splendor,50000,2016,Individual,1st owner,20000,
256
+ TVS Scooty Pep Plus,30000,2011,Individual,1st owner,20000,
257
+ Yamaha FZ V 2.0,60000,2014,Individual,1st owner,41311,81508
258
+ Hero Honda Splendor Plus,15000,2005,Individual,1st owner,65000,
259
+ Hero CD Deluxe,15000,2014,Individual,2nd owner,34000,
260
+ Hero Honda Passion PRO [2012],25000,2011,Individual,1st owner,20000,
261
+ Hero HF Deluxe i3s,54000,2019,Individual,1st owner,11000,
262
+ Bajaj Xcd,25000,2007,Individual,1st owner,75000,
263
+ Royal Enfield Interceptor 650,260000,2019,Individual,1st owner,1200,
264
+ Honda CBR-250R,100000,2014,Individual,1st owner,19000,199275
265
+ Bajaj Kristal,15000,2007,Individual,1st owner,30000,
266
+ Hero Honda Splendor Plus,20000,2006,Individual,1st owner,23000,
267
+ Honda Dream Yuga,35000,2014,Individual,1st owner,10000,56147
268
+ Yamaha FZ S V 2.0,50000,2016,Individual,1st owner,40000,87042
269
+ Hero Xpulse 200,90000,2019,Individual,1st owner,8600,107500
270
+ Bajaj V15,40000,2016,Individual,1st owner,45000,67187
271
+ Bajaj Avenger Street 220,80000,2016,Individual,1st owner,7200,95955
272
+ Bajaj Discover 135,20000,2010,Individual,1st owner,31195,
273
+ Honda CB Unicorn 150,70000,2017,Individual,1st owner,18000,74295
274
+ Vespa SXL 149,98000,2019,Individual,1st owner,1000,
275
+ Royal Enfield Machismo,75000,2008,Individual,2nd owner,17000,
276
+ Honda CB Shine SP,50000,2016,Individual,1st owner,46000,67214
277
+ Honda CB Unicorn 150,40000,2014,Individual,1st owner,77592,74295
278
+ Honda CB Unicorn 150,75000,2013,Individual,1st owner,54000,74295
279
+ Honda CB Unicorn 150,50000,2013,Individual,1st owner,17000,74295
280
+ Bajaj Pulsar 150,60000,2014,Individual,1st owner,60000,
281
+ TVS Apache RTR 160,50000,2016,Individual,1st owner,40000,
282
+ Honda Dio,35000,2014,Individual,1st owner,25000,
283
+ Royal Enfield Thunderbird 350,160000,2018,Individual,1st owner,19000,
284
+ Hero Maestro,25000,2015,Individual,2nd owner,40000,49412
285
+ Hero Honda CBZ extreme,42000,2010,Individual,1st owner,51000,
286
+ Bajaj Dominar 400,200000,2019,Individual,1st owner,7600,
287
+ Honda Activa 125,40000,2014,Individual,1st owner,14965,
288
+ Royal Enfield Classic Desert Storm,130000,2015,Individual,2nd owner,25000,181445
289
+ KTM 250 Duke,195000,2019,Individual,1st owner,6000,
290
+ KTM RC 390,270000,2019,Individual,1st owner,2380,
291
+ Kawasaki Ninja 650 [2018-2019],425000,2017,Individual,2nd owner,13600,599000
292
+ TVS Apache RTR 200 4V,85000,2018,Individual,1st owner,10000,
293
+ Kawasaki Ninja 250R,125000,2010,Individual,2nd owner,21000,317934
294
+ TVS Wego,45000,2018,Individual,1st owner,10000,54760
295
+ Honda CBR-250R,85000,2014,Individual,2nd owner,18600,171646
296
+ Bajaj Pulsar NS200,85000,2018,Individual,1st owner,7750,
297
+ Suzuki GSX S750,760000,2019,Individual,1st owner,2800,752020
298
+ Royal Enfield Thunderbird 350,100000,2015,Individual,1st owner,30000,
299
+ Royal Enfield Classic 350,95000,2015,Individual,1st owner,9800,
300
+ Honda CB Shine SP,48000,2015,Individual,1st owner,25000,67469
301
+ Bajaj Avenger Street 150 [2018],40000,2016,Individual,1st owner,29689,80435
302
+ Honda CBF Stunner,37000,2014,Individual,1st owner,43000,58757
303
+ Bajaj Avenger [2015],38000,2014,Individual,2nd owner,28243,75502
304
+ Suzuki Gixxer [2014-2018],55000,2015,Individual,1st owner,25000,78316
305
+ Suzuki Access 125,45000,2017,Individual,1st owner,22300,
306
+ TVS Scooty Streak,18000,2009,Individual,2nd owner,33595,44140
307
+ Royal Enfield Thunderbird 350X,140000,2018,Individual,1st owner,5505,
308
+ Yamaha Rx,70000,2000,Individual,3rd owner,5000,
309
+ Hero Honda Splendor Plus,15000,2007,Individual,1st owner,30000,
310
+ Bajaj Pulsar 125,65000,2019,Individual,1st owner,16000,
311
+ Honda Activa 5G,42000,2018,Individual,1st owner,22000,57557
312
+ Yamaha Fazer Dlx,58000,2012,Individual,1st owner,40000,
313
+ Harley-Davidson Street 750,330000,2014,Individual,4th owner,6500,534000
314
+ Hero Xtreme 2014,35000,2013,Individual,1st owner,15000,72973
315
+ Royal Enfield Classic 350,162000,2018,Individual,1st owner,17365,
316
+ Hero Honda Hunk,28000,2009,Individual,1st owner,40000,
317
+ Royal Enfield Interceptor 650,285000,2019,Individual,1st owner,5500,
318
+ Royal Enfield Classic 350,125000,2017,Individual,1st owner,33900,
319
+ Bajaj Pulsar 150 [2001-2011],15000,2005,Individual,1st owner,47670,
320
+ Honda Activa [2000-2015],29500,2013,Individual,1st owner,45000,50267
321
+ TVS Apache RR310,200000,2019,Individual,1st owner,5000,
322
+ Jawa Standard,160000,2019,Individual,1st owner,5700,
323
+ Hero Honda Splendor PRO,30000,2012,Individual,1st owner,22866,
324
+ Yamaha FZ25,110000,2019,Individual,1st owner,10000,133680
325
+ Bajaj Pulsar 220F,70000,2016,Individual,1st owner,31000,
326
+ Yamaha Fascino 110,69000,2019,Individual,1st owner,1600,57112
327
+ Yamaha FZ16,30000,2011,Individual,1st owner,44000,78712
328
+ Yamaha FZ16,30000,2010,Individual,1st owner,70000,78712
329
+ TVS Star City Plus,42000,2017,Individual,1st owner,21000,
330
+ Royal Enfield Classic 350,160000,2018,Individual,1st owner,17365,
331
+ Bajaj Pulsar 135 LS,20000,2010,Individual,1st owner,80000,64589
332
+ Suzuki Access 125,45000,2017,Individual,1st owner,15000,
333
+ Bajaj Pulsar 135 LS,23000,2010,Individual,1st owner,77000,64589
334
+ UM Renegade Commando,140000,2017,Individual,2nd owner,40000,180525
335
+ Hero Honda Splendor Plus,12000,2005,Individual,1st owner,48000,
336
+ Hero Passion PRO i3s,50000,2017,Individual,1st owner,18000,56925
337
+ Royal Enfield Classic 350,140000,2018,Individual,1st owner,20000,
338
+ Honda Activa 5G,55000,2019,Individual,1st owner,9000,59422
339
+ Yamaha Fascino 110,45000,2016,Individual,1st owner,56000,54500
340
+ Hero Splendor Plus,25000,2012,Individual,1st owner,50000,
341
+ Royal Enfield Thunderbird 350,90000,2014,Individual,1st owner,12000,
342
+ Yamaha YZF R15 V3,120000,2018,Individual,1st owner,11500,
343
+ KTM RC 200,120000,2015,Individual,1st owner,20000,
344
+ TVS Radeon,35000,2017,Individual,1st owner,20000,66492
345
+ Hero HF Deluxe,35000,2017,Individual,1st owner,27000,
346
+ BMW G310GS,300000,2018,Individual,1st owner,2500,349000
347
+ Royal Enfield Thunderbird 350,87000,2012,Individual,1st owner,20477,
348
+ Hero Honda Splendor Plus,18000,2010,Individual,1st owner,35700,
349
+ Yamaha FZ S V 2.0,50000,2014,Individual,1st owner,70000,84042
350
+ Bajaj Avenger Street 220,60000,2016,Individual,1st owner,29000,95955
351
+ Hero Honda Splendor Plus,15000,2004,Individual,1st owner,14500,
352
+ Bajaj Platina 100,30000,2018,Individual,1st owner,37000,
353
+ Royal Enfield Thunderbird 350X,160000,2018,Individual,1st owner,3246,
354
+ Honda CB Unicorn 150,50000,2016,Individual,1st owner,27000,74295
355
+ Suzuki Gixxer [2014-2018],62000,2017,Individual,1st owner,15000,78316
356
+ Bajaj Platina 100,45000,2019,Individual,1st owner,15000,
357
+ Royal Enfield Thunderbird 350,120000,2017,Individual,1st owner,4050,
358
+ Royal Enfield Thunderbird 500,125000,2014,Individual,1st owner,25000,190874
359
+ Bajaj Pulsar AS150,50000,2015,Individual,1st owner,5000,80821
360
+ Bajaj Pulsar 150,30000,2012,Individual,2nd owner,5000,
361
+ Hero Pleasure,40000,2014,Individual,1st owner,14000,51600
362
+ Honda Aviator,41000,2013,Individual,1st owner,36500,63537
363
+ Royal Enfield Thunderbird 350,120000,2017,Individual,2nd owner,9000,
364
+ Hero Ignitor,35000,2014,Individual,1st owner,33200,67722
365
+ Hero Honda CD100SS,10000,1997,Individual,1st owner,646000,
366
+ TVS Apache RTR 160,35000,2011,Individual,1st owner,25000,
367
+ Hero Achiever 150,38000,2017,Individual,1st owner,26000,69750
368
+ Vespa LX 125,50000,2015,Individual,1st owner,3909,77900
369
+ Honda Activa 3G,40000,2015,Individual,1st owner,7672,54605
370
+ Hero Splendor Plus i3s,70000,2019,Individual,1st owner,3000,55600
371
+ Royal Enfield Classic 350,140000,2016,Individual,1st owner,3654,
372
+ Hero Maestro,26500,2016,Individual,2nd owner,40000,53830
373
+ Hero Glamour 125,38000,2016,Dealer,1st owner,5500,61600
374
+ Yamaha FZ16,60000,2016,Individual,1st owner,29950,78712
375
+ Royal Enfield Himalayan,145000,2017,Individual,1st owner,14000,
376
+ Yamaha FZ S V 2.0,78000,2017,Individual,1st owner,26100,84480
377
+ Hero Maestro Edge,58000,2018,Individual,1st owner,6000,54580
378
+ Yamaha FZ25,130000,2017,Individual,1st owner,4000,132680
379
+ TVS Victor,20000,2001,Individual,1st owner,50000,54852
380
+ Bajaj Dominar 400 [2018],150000,2018,Individual,1st owner,5475,163331
381
+ Bajaj Pulsar 180,32000,2012,Individual,1st owner,40000,85011
382
+ Bajaj Pulsar 180,50000,2017,Individual,1st owner,20500,85011
383
+ KTM 200 Duke,120000,2017,Individual,1st owner,4100,
384
+ Bajaj Avenger Street 150 [2018],60000,2016,Individual,2nd owner,23097,80435
385
+ Bajaj Discover 100 M,20000,2011,Individual,1st owner,37734,44756
386
+ Royal Enfield Bullet 350 [2007-2011],65000,2011,Individual,2nd owner,65000,
387
+ Yamaha YZF R15 S,70000,2016,Individual,1st owner,8000,117926
388
+ Yamaha FZ V 2.0,35000,2014,Individual,1st owner,13500,81508
389
+ Bajaj Avenger Street 220,95000,2018,Individual,1st owner,23000,95955
390
+ Bajaj Pulsar 150,8000,2005,Individual,1st owner,58000,
391
+ Royal Enfield Thunderbird 350,85000,2010,Individual,1st owner,15000,
392
+ Hero Achiever 150,65000,2016,Individual,1st owner,29000,69750
393
+ Hero Passion Pro 110,39000,2013,Individual,1st owner,20000,
394
+ Hero Duet,45000,2017,Individual,1st owner,35000,50280
395
+ Bajaj Avenger Street 150 [2018],60000,2016,Individual,1st owner,45137,80435
396
+ Royal Enfield Classic Stealth Black,160000,2018,Individual,1st owner,7500,204977
397
+ Bajaj Pulsar 150,35000,2011,Individual,1st owner,35600,
398
+ Bajaj Pulsar 135 LS,40000,2018,Individual,1st owner,15000,64589
399
+ Yamaha Fazer [2009-2016],40000,2012,Individual,1st owner,7353,84751
400
+ Honda CB Hornet 160R,56000,2017,Individual,2nd owner,13200,87543
401
+ Honda CB Unicorn Dazzler,22000,2011,Individual,1st owner,38350,71757
402
+ Yamaha YBR 125,36000,2014,Individual,1st owner,20400,54593
403
+ Suzuki Intruder 150 Fi,100000,2018,Individual,1st owner,14500,110240
404
+ Bajaj V15,42000,2016,Individual,1st owner,19500,67187
405
+ Royal Enfield Electra 5 S,85000,2008,Individual,1st owner,20000,
406
+ Hero Passion PRO TR,45000,2014,Individual,1st owner,36000,54586
407
+ Yamaha FZ25,145000,2019,Individual,1st owner,4500,133680
408
+ Hero Karizma [2003-2014],50000,2013,Individual,1st owner,38000,85766
409
+ Royal Enfield Interceptor 650,270000,2019,Individual,1st owner,9000,
410
+ Royal Enfield Thunderbird 350,60000,2006,Individual,1st owner,40000,
411
+ Royal Enfield Classic Squadron Blue,140000,2017,Individual,1st owner,25000,181445
412
+ Hero Honda Splendor Plus,28000,2008,Individual,1st owner,70889,
413
+ KTM 390 Duke ABS [2013-2016],180000,2015,Individual,2nd owner,13125,202127
414
+ Bajaj Pulsar 180,42000,2014,Individual,2nd owner,19600,85011
415
+ Suzuki Access 125 [2007-2016],16000,2011,Individual,1st owner,40000,58314
416
+ Hero Splendor iSmart,40000,2015,Individual,1st owner,19055,52271
417
+ Bajaj Pulsar 180,38000,2012,Individual,2nd owner,57000,85011
418
+ Yamaha YZF R15 S,85000,2017,Individual,1st owner,13000,117926
419
+ Honda Aviator,28000,2013,Individual,1st owner,28087,63537
420
+ KTM 200 Duke,135000,2018,Individual,1st owner,24000,
421
+ Royal Enfield Thunderbird 350,120000,2016,Individual,1st owner,24600,
422
+ Hero Karizma ZMR,37000,2010,Individual,1st owner,27500,108000
423
+ Royal Enfield Classic Chrome,135000,2015,Individual,1st owner,45000,189313
424
+ Hero Honda Splendor,10000,2000,Individual,1st owner,61000,
425
+ Mahindra Rodeo,20000,2013,Individual,1st owner,7000,47343
426
+ TVS Apache RTR 160,83299,2019,Individual,1st owner,6400,
427
+ Yamaha Fazer FI V 2.0 [2016-2018],65000,2018,Individual,1st owner,3500,89643
428
+ Honda Activa 5G,50000,2018,Individual,1st owner,14000,59422
429
+ Bajaj Pulsar 220 Fi,65000,2013,Individual,1st owner,6409,
430
+ Hero Honda Karizma ZMR [2010],45000,2012,Individual,3rd owner,44000,
431
+ Honda CB Hornet 160R,60000,2017,Individual,1st owner,16500,92210
432
+ Royal Enfield Bullet 350,110000,2015,Individual,1st owner,36000,
433
+ Hero Honda CD Deluxe,14700,2005,Individual,2nd owner,30000,
434
+ Yamaha Saluto,38000,2015,Individual,1st owner,15000,63180
435
+ Suzuki Access 125,70000,2018,Individual,1st owner,14500,
436
+ TVS Sport,35000,2018,Individual,1st owner,26600,
437
+ Hero Honda Glamour,19000,2012,Individual,1st owner,32000,
438
+ KTM 125 Duke,130000,2019,Individual,1st owner,3500,
439
+ Bajaj Pulsar NS200,50000,2013,Dealer,1st owner,58203,
440
+ Bajaj Pulsar 150 [2001-2011],18000,2005,Individual,1st owner,21885,
441
+ Hero Xtreme 200R,87000,2019,Individual,1st owner,3200,93400
442
+ Hero Honda Splendor Plus,40000,2007,Individual,1st owner,40000,
443
+ Bajaj Discover 150S,35000,2015,Individual,1st owner,28000,63331
444
+ Honda CBR-250R,100000,2011,Individual,2nd owner,3500,171646
445
+ Hero Pleasure,30000,2013,Individual,1st owner,24000,51600
446
+ Bajaj Avenger Cruise 220,95000,2018,Individual,1st owner,1800,
447
+ Bajaj Discover 125 ST,25000,2012,Individual,1st owner,76000,58438
448
+ Bajaj Pulsar 150 [2001-2011],26500,2010,Individual,1st owner,52500,
449
+ Bajaj Boxer,12000,2008,Individual,1st owner,17500,
450
+ Bajaj Pulsar 150,20000,2006,Individual,1st owner,41000,
451
+ Royal Enfield Classic Signals,195000,2018,Individual,1st owner,2845,164095
452
+ Bajaj Pulsar 180,14900,2007,Individual,1st owner,50000,85011
453
+ Honda Dream Yuga,48000,2018,Individual,1st owner,7110,56147
454
+ Yamaha FZ S [2012-2016],40000,2014,Individual,1st owner,27785,79432
455
+ Honda CB Unicorn,45000,2010,Individual,1st owner,75000,71681
456
+ Honda Shine,25000,2010,Individual,1st owner,20000,
457
+ Honda Activa 3G,25000,2011,Individual,1st owner,20000,54605
458
+ Honda Activa [2000-2015],10000,2009,Individual,1st owner,60000,50267
459
+ Mahindra Flyte,22000,2009,Individual,3rd owner,20000,44493
460
+ Honda Activa 3G,45000,2015,Individual,1st owner,18000,54605
461
+ KTM 250 Duke,135000,2017,Individual,1st owner,16500,
462
+ Yamaha Ray Z,75000,2017,Individual,1st owner,15000,52949
463
+ Bajaj Pulsar 135 LS,24000,2010,Individual,1st owner,45000,64589
464
+ Yamaha FZ16,45000,2016,Individual,1st owner,37000,78712
465
+ Hero Passion PRO i3s,55000,2017,Individual,1st owner,14600,54475
466
+ Bajaj Discover 125,10000,2006,Individual,1st owner,51000,57549
467
+ Royal Enfield Classic 350,135000,2017,Individual,1st owner,15000,
468
+ Honda CB Unicorn 150,55000,2017,Individual,1st owner,12000,74295
469
+ Bajaj Avenger [2015],35000,2012,Individual,1st owner,15000,75502
470
+ Bajaj Super,20000,1988,Individual,1st owner,21000,
471
+ Bajaj Pulsar 150,26000,2012,Individual,2nd owner,65000,
472
+ Honda Activa [2000-2015],23000,2009,Individual,1st owner,95000,50267
473
+ Royal Enfield Classic Desert Storm,150000,2015,Individual,1st owner,23000,181445
474
+ Hero Honda CD Deluxe,24700,2012,Individual,2nd owner,40000,
475
+ Hero Duet,35000,2016,Individual,2nd owner,49637,54080
476
+ Hero Honda Passion PRO [2012],12000,2012,Individual,1st owner,90000,
477
+ Royal Enfield Classic 350,150000,2017,Individual,1st owner,7000,
478
+ Honda Activa 3G,50000,2016,Individual,1st owner,5326,54605
479
+ Honda Activa [2000-2015],25000,2009,Individual,1st owner,585659,50267
480
+ Hero Honda CD100,15000,1999,Dealer,2nd owner,10000,
481
+ Hero Super Splendor,35000,2014,Individual,2nd owner,37541,
482
+ Honda CB Trigger,45000,2015,Individual,1st owner,36000,83437
483
+ Honda Dream Yuga,25000,2013,Individual,1st owner,29000,56147
484
+ Hero Honda Passion Plus,40000,2018,Individual,1st owner,29000,
485
+ TVS Spectra,17000,2008,Individual,1st owner,50000,
486
+ Hero Ignitor,30000,2016,Individual,1st owner,18000,67722
487
+ Hero Honda CD100,15000,2000,Individual,1st owner,50000,
488
+ Bajaj Pulsar 220F,60000,2017,Individual,2nd owner,40000,
489
+ Hero Splendor Plus,30000,2013,Individual,1st owner,20000,
490
+ Yamaha YZF R15 [2011-2018],60000,2012,Individual,1st owner,22000,118997
491
+ Honda Activa 3G,32000,2015,Individual,1st owner,4500,54605
492
+ Bajaj Discover 150,30000,2012,Individual,1st owner,50000,54299
493
+ Bajaj Pulsar 150 [2001-2011],55000,2010,Individual,1st owner,42000,
494
+ Bajaj Avenger Street 150 [2018],75000,2016,Individual,1st owner,35000,80435
495
+ TVS Star City Plus,52000,2017,Individual,1st owner,25000,
496
+ Bajaj Discover 125,38000,2018,Individual,1st owner,34000,60122
497
+ Bajaj Discover 135,12000,2007,Individual,1st owner,60000,
498
+ Honda CB Shine SP,47000,2017,Individual,1st owner,73000,64750
499
+ Honda Activa [2000-2015],22000,2014,Individual,1st owner,38000,50267
500
+ Bajaj Avenger [2015],65000,2015,Individual,1st owner,26000,75502
501
+ Bajaj Platina 100,23000,2013,Individual,2nd owner,24000,
502
+ Bajaj Discover 100,30000,2011,Individual,1st owner,45000,42859
503
+ Bajaj Pulsar 150,35000,2011,Individual,1st owner,36000,
504
+ Bajaj Avenger Street 150 [2018],80000,2017,Individual,1st owner,30000,80435
505
+ Bajaj Platina 100,20000,2012,Individual,1st owner,16295,
506
+ Bajaj Pulsar 150,16000,2011,Individual,2nd owner,59000,
507
+ Bajaj Pulsar 150,20000,2006,Individual,1st owner,9500,
508
+ Bajaj Pulsar NS200,50000,2012,Individual,1st owner,46000,
509
+ Honda CB Trigger,40000,2015,Individual,1st owner,75000,76572
510
+ Bajaj Pulsar 135 LS,20000,2010,Individual,1st owner,80000,64589
511
+ Bajaj Pulsar 180,65000,2018,Individual,1st owner,26000,85011
512
+ Yamaha YZF R15 S,85000,2016,Individual,1st owner,26000,117926
513
+ Hero Splendor Plus,12000,2007,Individual,1st owner,100000,
514
+ Hero Xpulse 200T,105000,2019,Individual,1st owner,2900,96500
515
+ Yamaha FZ S V 2.0,40000,2015,Individual,1st owner,25000,84042
516
+ Bajaj Discover 150,30000,2011,Individual,2nd owner,39500,54299
517
+ Honda Activa [2000-2015],25000,2012,Individual,1st owner,40000,50267
518
+ Hero Splendor PRO,40000,2016,Individual,1st owner,16000,51994
519
+ Honda Dream Neo,45000,2017,Individual,2nd owner,21000,49211
520
+ Bajaj CT 100,40000,2018,Individual,1st owner,14000,
521
+ Suzuki Access 125,70000,2018,Individual,1st owner,7000,76632
522
+ Honda Activa [2000-2015],30000,2012,Individual,1st owner,22000,50267
523
+ Hero Honda Pleasure,25000,2009,Individual,1st owner,50000,
524
+ Bajaj Platina 100,20000,2012,Individual,1st owner,16295,
525
+ Honda CB Hornet 160R,70000,2017,Individual,1st owner,35000,87719
526
+ Bajaj V15,50000,2017,Individual,1st owner,9000,65626
527
+ Hero Honda CD Deluxe,25000,2010,Individual,1st owner,35000,
528
+ Bajaj Pulsar 150,22000,2011,Individual,1st owner,60000,
529
+ Honda Activa [2000-2015],35000,2013,Individual,1st owner,29500,50267
530
+ TVS Apache RTR 160,40000,2014,Individual,2nd owner,50000,
531
+ Bajaj Pulsar 220F,75000,2016,Individual,1st owner,10500,
532
+ Hero Honda Passion PRO [2012],28000,2011,Individual,2nd owner,60000,
533
+ Hero Maestro Edge,55000,2018,Individual,1st owner,39000,52790
534
+ Honda Dio,30000,2014,Individual,1st owner,24000,
535
+ Hero Glamour 125,40000,2016,Individual,1st owner,15000,61600
536
+ Bajaj Avenger Street 160,85000,2019,Individual,1st owner,3000,
537
+ Hero Honda CD Deluxe,12000,2007,Individual,2nd owner,100000,
538
+ Yamaha YBR 125,35000,2013,Individual,1st owner,20350,54593
539
+ Bajaj Pulsar 150,25000,2015,Individual,2nd owner,50000,
540
+ Bajaj Pulsar 150,40000,2012,Individual,2nd owner,37000,
541
+ Hero Honda CD Deluxe,15000,2011,Individual,1st owner,70000,
542
+ Hero Passion PRO i3s,55000,2018,Individual,1st owner,15000,54475
543
+ Bajaj Pulsar 180,60000,2015,Individual,1st owner,28563,85011
544
+ Yamaha Fazer 25,115000,2018,Individual,1st owner,11000,142680
545
+ TVS Excel,5000,1998,Individual,1st owner,60000,
546
+ Honda Shine,40000,2015,Individual,1st owner,21121,
547
+ Honda Dream Neo,50000,2014,Individual,1st owner,25000,49211
548
+ Honda Dio,28000,2014,Individual,1st owner,13000,
549
+ Hero Splendor Plus,35000,2013,Individual,1st owner,55000,
550
+ Bajaj Xcd,25000,2007,Individual,2nd owner,100000,
551
+ TVS Streak,20000,2009,Individual,2nd owner,36000,
552
+ Bajaj Pulsar 180,40000,2013,Individual,1st owner,34000,85011
553
+ Hero Xtreme 200R,86000,2018,Individual,1st owner,12000,93400
554
+ Yamaha YZF R15 [2011-2018],65000,2011,Individual,1st owner,29000,
555
+ Bajaj Avenger Street 150 [2018],60000,2017,Individual,1st owner,30000,80435
556
+ Yamaha RX135,65000,1998,Individual,3rd owner,16500,
557
+ Honda CB Shine SP,41000,2017,Individual,1st owner,33000,66697
558
+ Honda CBR150 R,110000,2017,Individual,1st owner,11800,129662
559
+ Honda Dream Yuga,32000,2017,Individual,1st owner,39000,56147
560
+ Honda Shine,37000,2014,Individual,1st owner,16145,
561
+ Hero Splendor Plus i3s,65000,2019,Individual,1st owner,1000,55600
562
+ Hero Honda Passion Plus,18000,2007,Individual,2nd owner,50000,
563
+ Hero Honda Passion PRO [2012],28700,2012,Individual,2nd owner,49876,
564
+ Honda Activa 3G,35000,2016,Individual,1st owner,51000,54605
565
+ Bajaj Pulsar 180F,100000,2019,Individual,1st owner,1300,
566
+ Hero Honda Glamour,21000,2010,Individual,1st owner,11000,
567
+ Bajaj Pulsar 150 [2001-2011],30000,2010,Individual,2nd owner,55000,
568
+ TVS Apache RTR 200 4V,90000,2019,Individual,1st owner,20000,
569
+ Bajaj Super,6000,1991,Individual,1st owner,35000,
570
+ Hero Honda Passion Plus,23500,2010,Individual,1st owner,60000,
571
+ Bajaj Pulsar 150,55000,2015,Individual,2nd owner,40000,
572
+ Yamaha SZ X,35000,2010,Individual,1st owner,46000,65800
573
+ Hero Honda CD100,15000,1998,Individual,1st owner,65000,
574
+ Bajaj Pulsar 180,35000,2009,Individual,1st owner,19000,85011
575
+ Bajaj Pulsar 220 DTS-i,40000,2011,Individual,1st owner,26000,
576
+ Hero Honda Achiever,15000,2009,Individual,1st owner,86000,
577
+ Hero Honda Karizma,40000,2011,Individual,2nd owner,340000,
578
+ Honda CB Unicorn 160,75000,2016,Individual,1st owner,40000,77545
579
+ Bajaj Avenger Cruise 220,70000,2016,Individual,1st owner,10000,
580
+ Bajaj Discover 135,22000,2007,Individual,1st owner,25000,
581
+ Yamaha FZ S V 2.0,80000,2019,Individual,1st owner,10000,87042
582
+ Bajaj Pulsar 150,72000,2017,Individual,1st owner,24000,
583
+ Hero HF Deluxe,30000,2014,Individual,2nd owner,35000,
584
+ Bajaj Pulsar 135 LS,25000,2011,Individual,2nd owner,30000,64589
585
+ Aprilia SR 125,65000,2018,Individual,1st owner,6500,
586
+ Bajaj Pulsar 150,68000,2019,Individual,1st owner,10000,
587
+ Hero Duet,27000,2016,Individual,1st owner,28000,50280
588
+ Honda CB Twister,25000,2015,Individual,1st owner,35000,57241
589
+ Bajaj Discover 125,45000,2016,Individual,1st owner,20000,60122
590
+ Honda CBR-250R,200000,2019,Individual,1st owner,5500,202310
591
+ Bajaj Pulsar 180,20100,2008,Individual,1st owner,36000,85011
592
+ Honda Shine,30000,2014,Individual,1st owner,25000,
593
+ Suzuki Swish [2012-2015],30000,2014,Individual,1st owner,30000,51685
594
+ TVS Star City,21000,2011,Individual,1st owner,101000,47108
595
+ Hero Super Splendor,45000,2012,Individual,1st owner,21000,
596
+ Yamaha Fazer [2009-2016],45000,2014,Individual,1st owner,57700,84751
597
+ TVS Scooty Pep DLX,14500,2012,Individual,1st owner,44000,
598
+ Honda Dream Yuga,47000,2019,Individual,1st owner,8800,56147
599
+ TVS Star City Plus,26000,2014,Individual,2nd owner,68000,
600
+ Yamaha Fazer [2009-2016],25000,2013,Individual,1st owner,120000,84751
601
+ Hero Honda Street Smart,10000,2000,Individual,1st owner,24000,
602
+ TVS Apache RTR 160,50000,2017,Individual,1st owner,38000,
603
+ Honda Dio,23000,2010,Individual,1st owner,40000,
604
+ Honda Activa [2000-2015],50000,2014,Individual,1st owner,48000,50267
605
+ Hero Maestro Edge,46000,2015,Individual,1st owner,14000,55980
606
+ Honda CB Hornet 160R,80000,2017,Individual,1st owner,18000,87719
607
+ Hero Karizma [2003-2014],50000,2013,Individual,1st owner,38000,85766
608
+ Honda CB Trigger,40000,2014,Individual,1st owner,75000,83437
609
+ Honda CB Hornet 160R,70000,2017,Individual,1st owner,35000,87719
610
+ Hero Glamour FI,30900,2014,Individual,1st owner,25000,71150
611
+ Bajaj Avenger [2015],65000,2010,Individual,1st owner,20000,75502
612
+ Hero Honda Splendor Plus,15000,2006,Individual,1st owner,100000,
613
+ TVS Apache RTR 160,89999,2019,Individual,1st owner,6400,
614
+ Hero Honda Splendor Plus,17600,2006,Individual,1st owner,52000,
615
+ Bajaj Platina 100,17000,2007,Individual,1st owner,16000,
616
+ Yamaha FZ25,90000,2018,Individual,1st owner,8200,132680
617
+ Bajaj Pulsar 150 [2001-2011],35000,2010,Individual,1st owner,60000,
618
+ Yamaha YZF R15 S,70000,2017,Individual,1st owner,16000,117926
619
+ Bajaj Discover 125,15000,2011,Individual,1st owner,47000,57549
620
+ Hero Passion PRO i3s,35000,2016,Individual,1st owner,18000,54475
621
+ Honda Activa [2000-2015],15000,2006,Individual,1st owner,50000,50267
622
+ Bajaj Discover 125,50000,2018,Individual,1st owner,6000,60122
623
+ Suzuki Gixxer [2014-2018],69000,2017,Individual,1st owner,20000,82813
624
+ TVS Wego,15000,2011,Individual,1st owner,65000,54760
625
+ Bajaj Discover 150,25000,2008,Individual,1st owner,25000,54299
626
+ Suzuki Access 125 [2007-2016],30000,2012,Individual,1st owner,23000,58314
627
+ Hero Karizma 2014,45000,2014,Individual,1st owner,5555,86744
628
+ Hero CD Deluxe,35000,2016,Individual,1st owner,38000,
629
+ Yamaha Fazer 25,120000,2018,Individual,1st owner,6000,142680
630
+ Hero Splendor Plus,25000,2015,Individual,1st owner,45000,
631
+ Yamaha YZF R15 [2011-2018],80000,2017,Individual,1st owner,27000,118997
632
+ Hero Honda Splendor Plus,10000,2007,Individual,1st owner,98000,
633
+ TVS Apache RTR 160,70000,2018,Individual,1st owner,16000,
634
+ Bajaj Pulsar 150,35000,2011,Individual,1st owner,50000,
635
+ Hero Glamour 125,40000,2015,Individual,1st owner,71250,61600
636
+ Hero Honda Passion Plus,20000,2006,Individual,1st owner,28000,
637
+ Honda CB Twister,30000,2012,Individual,1st owner,50000,57241
638
+ Bajaj CT 100,8000,2005,Individual,2nd owner,82000,
639
+ Bajaj Pulsar 220 DTS-i,65000,2013,Individual,1st owner,6409,
640
+ Hero Honda Super Splendor [2005],20000,2008,Individual,1st owner,54000,
641
+ Honda CB Trigger,45000,2013,Individual,1st owner,20000,76572
642
+ Hero Hunk,35000,2013,Individual,1st owner,50000,78513
643
+ Bajaj Discover 150,25000,2011,Individual,1st owner,52000,54299
644
+ TVS Apache RTR 160,15000,2009,Individual,4th owner,880000,
645
+ Hero Xtreme Sports,65000,2017,Individual,1st owner,23000,78350
646
+ Bajaj Avenger [2015],45000,2011,Individual,1st owner,35000,75502
647
+ Honda Activa 125,45000,2017,Individual,1st owner,49000,
648
+ Bajaj Pulsar 220F,50000,2011,Individual,2nd owner,55000,
649
+ Bajaj Pulsar NS200,85000,2018,Individual,2nd owner,15100,
650
+ Hero Honda Splendor,25000,2008,Individual,1st owner,38000,
651
+ Honda CB Unicorn 150,60000,2017,Individual,1st owner,12652,74295
652
+ Suzuki Gixxer SF Fi,100000,2019,Individual,1st owner,7000,103170
653
+ KTM RC 200,180000,2019,Individual,2nd owner,13800,
654
+ Bajaj Discover 100,25000,2010,Individual,2nd owner,28000,42859
655
+ TVS Wego,15000,2011,Individual,2nd owner,20000,54760
656
+ Honda CB Hornet 160R,60000,2017,Individual,2nd owner,16008,92210
657
+ Yamaha YZF R15 S,75000,2018,Individual,1st owner,36000,117926
658
+ Hero CBZ,35000,2010,Individual,1st owner,36000,
659
+ TVS Scooty Zest 110,55000,2018,Individual,1st owner,380,53751
660
+ Yamaha FZ S V 2.0,85000,2018,Individual,1st owner,50000,87042
661
+ Hero Honda Glamour,35000,2012,Individual,1st owner,30000,
662
+ Hero Honda CBZ extreme,35000,2011,Individual,1st owner,35000,
663
+ Yamaha FZ S V 2.0,60000,2017,Individual,1st owner,14500,84042
664
+ Suzuki Access 125,40000,2017,Individual,1st owner,15000,
665
+ Bajaj Pulsar 150,30000,2010,Individual,1st owner,54000,
666
+ Bajaj Pulsar NS160,80000,2018,Individual,1st owner,11000,
667
+ Hero Splendor PRO,24000,2011,Individual,1st owner,43000,51994
668
+ Honda Shine,18000,2010,Individual,1st owner,15000,
669
+ Hero Passion Pro 110,20000,2008,Individual,3rd owner,40000,
670
+ Yamaha FZ16,40000,2016,Individual,1st owner,93000,78712
671
+ Suzuki Access 125,20000,2012,Individual,1st owner,24000,
672
+ TVS Jupiter,70000,2018,Individual,1st owner,14000,
673
+ Hero Passion Pro 110,50000,2019,Individual,1st owner,29442,
674
+ Yamaha FZ S V 2.0,75000,2017,Individual,1st owner,20000,84042
675
+ Honda Livo,25000,2015,Individual,1st owner,30000,
676
+ Honda CB Hornet 160R,70000,2017,Individual,1st owner,38000,87543
677
+ Honda Activa 125 [2016-2017],55000,2018,Individual,1st owner,18000,61545
678
+ Honda Activa 5G,51000,2018,Individual,1st owner,14000,59422
679
+ Yamaha Saluto,74000,2019,Individual,1st owner,13000,59844
680
+ Yamaha FZ S V 2.0,65000,2017,Individual,1st owner,42000,84042
681
+ Bajaj Avenger Street 150 [2018],60000,2016,Individual,2nd owner,27000,80435
682
+ Bajaj Pulsar 220F,110000,2019,Individual,1st owner,4000,
683
+ Yamaha YZF R15 [2011-2018],50000,2014,Individual,1st owner,1200,118997
684
+ TVS Apache RTR 160 4V,85009,2018,Individual,1st owner,7500,
685
+ Hero Passion Pro 110,60000,2013,Individual,1st owner,15000,
686
+ Bajaj Pulsar 150,25000,2013,Individual,2nd owner,70000,
687
+ TVS Apache RTR 160 4V,75000,2019,Individual,1st owner,12657,
688
+ Honda CB Unicorn 150,30000,2010,Individual,1st owner,69000,74295
689
+ Honda Activa [2000-2015],16600,2010,Individual,1st owner,100000,50267
690
+ Honda Activa 3G,30000,2015,Individual,1st owner,18000,54605
691
+ Honda Shine,20000,2007,Individual,1st owner,80000,
692
+ Honda Activa 5G,62000,2019,Individual,1st owner,11200,59422
693
+ Bajaj Avenger Street 220,60000,2016,Individual,1st owner,17000,95955
694
+ Hero Xtreme [2013-2014],45000,2014,Individual,1st owner,56420,72492
695
+ Yamaha FZ S [2012-2016],40000,2011,Individual,1st owner,82000,79432
696
+ Suzuki Intruder 150,75000,2018,Individual,1st owner,10000,
697
+ Yamaha Fazer [2009-2016],50000,2012,Individual,1st owner,100000,84751
698
+ Bajaj Pulsar RS 200,105000,2017,Individual,1st owner,18345,
699
+ Bajaj Discover 135,30000,2009,Individual,1st owner,20000,
700
+ Hero Honda CBZ,10000,2000,Individual,4th owner,48000,
701
+ Bajaj Pulsar 135 LS,45000,2014,Individual,1st owner,14000,64589
702
+ Yamaha Fazer 25,145000,2018,Individual,2nd owner,4100,142680
703
+ Honda CB Unicorn 150,45000,2016,Individual,2nd owner,50000,74295
704
+ Honda Activa 5G,65000,2019,Individual,1st owner,3025,59422
705
+ Bajaj Pulsar 135 LS,20000,2011,Individual,1st owner,60000,64589
706
+ Hero Duet,37000,2016,Individual,1st owner,6000,50280
707
+ Hero Splendor NXG,18000,2011,Individual,1st owner,35000,44814
708
+ Hero Glamour 125,25000,2013,Individual,1st owner,50000,61600
709
+ Honda Activa 5G,46000,2018,Individual,1st owner,10000,57557
710
+ Yamaha Fascino 110,55000,2019,Individual,1st owner,7000,57112
711
+ Bajaj V15,40000,2016,Individual,1st owner,34000,67187
712
+ Hero Honda Passion PRO [2012],25000,2012,Individual,2nd owner,20000,
713
+ Honda Activa [2000-2015],25000,2012,Individual,1st owner,38000,50267
714
+ Bajaj Xcd,15000,2008,Individual,1st owner,100000,
715
+ Bajaj Pulsar NS160,70000,2018,Individual,1st owner,20000,
716
+ Honda CB Hornet 160R,70000,2017,Individual,1st owner,240000,92210
717
+ Yamaha RXG,25000,1997,Individual,1st owner,45354,
718
+ TVS Streak,10000,2009,Individual,1st owner,100000,
719
+ Bajaj Pulsar RS 200,80000,2015,Individual,1st owner,32000,
720
+ Yamaha Alpha,25000,2015,Individual,2nd owner,14000,54253
721
+ Honda Livo,35000,2016,Individual,1st owner,70000,
722
+ Mahindra Gusto,25000,2016,Individual,1st owner,13500,51185
723
+ Bajaj Discover 125,26000,2012,Individual,1st owner,75000,57549
724
+ Hero Glamour 125,15000,2011,Individual,1st owner,75000,61600
725
+ Honda CB Unicorn 160,50000,2017,Individual,1st owner,52000,77545
726
+ Hero Pleasure,26500,2013,Individual,1st owner,18860,49600
727
+ Royal Enfield Classic 350,135000,2017,Individual,1st owner,2700,
728
+ Honda CB Hornet 160R,80000,2016,Individual,1st owner,100000,92661
729
+ Bajaj CT 100,30000,2016,Individual,1st owner,38500,
730
+ Yamaha FZ S V 2.0,90000,2018,Individual,1st owner,10500,87042
731
+ Bajaj Pulsar 180,85000,2016,Individual,1st owner,35000,85011
732
+ Hero Glamour 125,54000,2013,Individual,1st owner,17000,61600
733
+ Bajaj CT 100,42000,2019,Individual,1st owner,2900,
734
+ Bajaj Discover 100 T,25000,2014,Individual,1st owner,30000,47032
735
+ TVS Star City Plus,50000,2016,Individual,2nd owner,14000,
736
+ Honda CB Unicorn 150,55000,2014,Individual,1st owner,10000,74295
737
+ Hero Passion PRO TR,35000,2014,Individual,1st owner,9556,54586
738
+ Honda CB Shine SP,50000,2018,Individual,1st owner,37000,64750
739
+ Bajaj V15,45000,2015,Individual,1st owner,2700,65626
740
+ Bajaj V15,45000,2016,Individual,1st owner,36000,67187
741
+ Bajaj Discover 100,28000,2015,Individual,2nd owner,52000,42859
742
+ Royal Enfield Electra 4 S,80000,2013,Individual,1st owner,46000,
743
+ KTM 200 Duke,130000,2016,Individual,1st owner,12000,
744
+ Bajaj Pulsar 220F,120000,2019,Individual,1st owner,6500,
745
+ Suzuki GS150R,27000,2012,Individual,1st owner,14100,70851
746
+ Honda Shine,30000,2014,Individual,1st owner,40000,
747
+ Honda CB Unicorn Dazzler,50000,2010,Individual,1st owner,75000,71757
748
+ Honda Livo,45000,2018,Individual,1st owner,10000,
749
+ Honda Aviator,28000,2009,Individual,1st owner,29625,59183
750
+ Honda Activa [2000-2015],6000,2006,Individual,2nd owner,35000,50267
751
+ Hero Hunk,35000,2016,Individual,1st owner,32000,78513
752
+ Honda Activa 125,30000,2014,Individual,1st owner,20000,
753
+ Bajaj Discover 110,15000,2007,Individual,1st owner,70000,52710
754
+ Hero Xtreme [2013-2014],45000,2013,Individual,1st owner,57000,75936
755
+ TVS Victor GLX,18000,2005,Individual,1st owner,11000,
756
+ Bajaj Pulsar NS200,85000,2018,Individual,1st owner,17500,
757
+ Honda Aviator,30000,2014,Individual,1st owner,7000,59183
758
+ Bajaj Platina 100,40000,2018,Individual,1st owner,17500,
759
+ TVS Sport,34000,2018,Individual,1st owner,25000,
760
+ Hero Honda Passion Plus,8000,2003,Individual,1st owner,53500,
761
+ Bajaj V15,70000,2018,Individual,1st owner,15000,67187
762
+ Honda Dio,50000,2016,Individual,1st owner,8000,
763
+ Honda Dream Yuga,35000,2015,Individual,1st owner,39448,56147
764
+ Hero Honda Splendor Plus,20000,2006,Individual,1st owner,75000,
765
+ Bajaj Pulsar 150,50000,2012,Individual,1st owner,28000,
766
+ Bajaj Discover 135,37000,2008,Individual,1st owner,62000,
767
+ Honda Livo,69000,2018,Individual,1st owner,12000,
768
+ Hero Honda Splendor NXG,28000,2012,Individual,1st owner,49999,
769
+ Bajaj Discover 125,25000,2011,Individual,1st owner,70000,57549
770
+ Yamaha FZ V 2.0,60000,2018,Individual,1st owner,25000,81508
771
+ Yamaha SZ-S,50000,2014,Individual,1st owner,20000,72532
772
+ Royal Enfield Thunderbird 350,135000,2016,Individual,1st owner,4500,
773
+ Bajaj Discover 125 M,30000,2014,Individual,1st owner,45000,49146
774
+ Yamaha FZ S [2012-2016],60000,2014,Individual,1st owner,68000,79432
775
+ Honda Activa [2000-2015],23000,2009,Individual,1st owner,95000,50267
776
+ Bajaj Xcd,20000,2009,Individual,1st owner,16000,
777
+ Bajaj Avenger Street 160,80000,2019,Individual,1st owner,5000,
778
+ Royal Enfield Electra 5 S,99000,2006,Individual,2nd owner,36000,
779
+ TVS Apache RTR 200 4V,90000,2018,Individual,1st owner,70000,
780
+ Hero Honda Splendor Plus,20000,2005,Individual,1st owner,27370,
781
+ Hero Glamour 125,50000,2017,Individual,1st owner,8600,61600
782
+ TVS Victor GLX,27000,2002,Individual,1st owner,49000,
783
+ Honda Grazia,60000,2018,Individual,1st owner,16000,
784
+ Bajaj Pulsar 150 [2001-2011],12000,2007,Individual,2nd owner,100000,
785
+ Hero Xtreme 2014,50000,2014,Individual,1st owner,10000,72973
786
+ Hero Pleasure,20000,2012,Individual,2nd owner,30000,49600
787
+ Hero Passion XPro,45000,2018,Individual,1st owner,7000,58900
788
+ Hero Super Splendor,40000,2013,Individual,1st owner,68000,
789
+ Yamaha FZ S [2012-2016],45000,2016,Individual,2nd owner,20000,79432
790
+ Honda Activa [2000-2015],25000,2015,Individual,1st owner,25000,50267
791
+ Hero Glamour FI,75000,2019,Individual,1st owner,8900,71150
792
+ Hero Honda Passion Plus,25000,2007,Individual,1st owner,70000,
793
+ Hero Splendor Plus,25000,2006,Individual,2nd owner,40000,
794
+ Hero Xpulse 200,100000,2019,Individual,1st owner,8500,107500
795
+ Honda CB Unicorn 150,30000,2012,Individual,1st owner,32000,74295
796
+ Bajaj Discover 135,25000,2010,Individual,1st owner,55000,
797
+ Hero Honda Splendor,10000,2006,Individual,1st owner,75000,
798
+ Hero Honda CD Deluxe,25000,2008,Individual,3rd owner,65000,
799
+ Royal Enfield Electra Twinspark,120000,2016,Individual,1st owner,345000,
800
+ Honda Dream Neo,42000,2014,Individual,1st owner,21000,53415
801
+ Hero Maestro,30000,2013,Individual,1st owner,60000,49412
802
+ Honda CBR150 R,77000,2014,Individual,1st owner,38000,132513
803
+ Honda CB Unicorn Dazzler,25000,2011,Individual,1st owner,40000,71757
804
+ TVS Apache [2006],15000,2006,Individual,1st owner,40000,
805
+ Hero Passion XPro,25000,2013,Individual,1st owner,25000,59640
806
+ Honda Activa 5G,50000,2018,Individual,1st owner,25000,57957
807
+ Honda Activa i,30000,2014,Individual,1st owner,25000,53900
808
+ TVS Apache RTR 200 4V,125000,2019,Individual,1st owner,3000,
809
+ Hero Honda CBZ extreme,35000,2011,Individual,1st owner,28000,
810
+ Suzuki Gixxer [2014-2018],45000,2015,Individual,1st owner,40000,78316
811
+ Hero Xpulse 200,98000,2019,Individual,1st owner,8500,107500
812
+ Bajaj Pulsar 150,75000,2017,Individual,1st owner,30000,
813
+ Bajaj Pulsar AS150,55000,2017,Individual,2nd owner,20000,80821
814
+ Bajaj Platina 100,25000,2013,Individual,1st owner,30000,
815
+ Honda CB Twister,70000,2014,Individual,1st owner,12566,49150
816
+ Suzuki SlingShot,24000,2011,Individual,1st owner,17000,
817
+ TVS Apache RTR 160,70000,2018,Individual,1st owner,17000,
818
+ Bajaj V12,45000,2017,Individual,1st owner,35000,58906
819
+ Hero Karizma 2014,25000,2015,Individual,1st owner,40000,86744
820
+ Yamaha YZF R15 V3,170000,2019,Individual,1st owner,1400,146400
821
+ Yamaha Fascino 110,38000,2016,Individual,1st owner,37000,54500
822
+ Honda CB Unicorn 160,45000,2015,Individual,1st owner,15000,77545
823
+ Yamaha Gladiator,15000,2009,Individual,1st owner,46000,
824
+ Hero Honda Glamour,45000,2012,Individual,1st owner,75000,
825
+ Bajaj Discover 100,22000,2014,Individual,1st owner,14289,42859
826
+ Mahindra Gusto,30000,2015,Individual,2nd owner,20000,51185
827
+ Royal Enfield Thunderbird 350,100000,2012,Individual,1st owner,28000,
828
+ Royal Enfield Classic 350,100000,2014,Individual,1st owner,19000,
829
+ Bajaj Pulsar 150,60000,2017,Individual,1st owner,28450,
830
+ Royal Enfield Electra Twinspark,100000,2014,Individual,1st owner,31500,
831
+ Bajaj Pulsar 150,40000,2016,Individual,1st owner,28000,
832
+ Bajaj Pulsar 150,21000,2007,Individual,1st owner,100000,
833
+ Hero HF Deluxe,40000,2018,Individual,1st owner,16000,
834
+ Honda Activa [2000-2015],25000,2007,Individual,1st owner,17860,50267
835
+ Yamaha FZ S [2012-2016],45000,2015,Individual,1st owner,24000,79432
836
+ Bajaj Avenger Cruise 220,75000,2016,Individual,1st owner,10950,
837
+ Honda Dio,45000,2017,Individual,1st owner,35850,
838
+ Honda Activa i [2016-2017],35000,2016,Individual,1st owner,29000,53436
839
+ Royal Enfield Bullet 350 [2007-2011],60000,2001,Individual,2nd owner,4000,
840
+ Yamaha FZ V 2.0,60000,2016,Individual,1st owner,45420,81508
841
+ Royal Enfield Classic 350,130000,2018,Individual,2nd owner,35000,
842
+ Honda CB Shine SP,42000,2017,Individual,1st owner,19800,64750
843
+ Bajaj V15,76000,2018,Individual,1st owner,23000,65626
844
+ Hero CBZ,40000,2014,Individual,1st owner,35000,
845
+ Hero Splendor Plus,65000,2018,Individual,1st owner,7500,
846
+ Bajaj Discover 100 T,20000,2013,Individual,1st owner,20000,47032
847
+ Honda CB Hornet 160R,75000,2016,Individual,1st owner,72000,92661
848
+ Honda CB Hornet 160R,70000,2018,Individual,1st owner,7000,92661
849
+ TVS Apache RTR 160 4V,105000,2019,Individual,1st owner,6000,
850
+ Honda CB Shine SP,50000,2017,Individual,1st owner,34300,62317
851
+ Royal Enfield Classic 350,120000,2017,Individual,1st owner,7199,
852
+ Bajaj Pulsar 180,25000,2011,Individual,1st owner,43000,85011
853
+ TVS XL 100,30000,2017,Individual,1st owner,8000,30490
854
+ Hero Super Splendor,50000,2017,Individual,1st owner,9999,
855
+ Hero Honda CBZ extreme,25000,2007,Individual,1st owner,80000,
856
+ Bajaj Pulsar 180,50000,2014,Individual,1st owner,30000,85011
857
+ Bajaj Discover 150,35000,2015,Individual,1st owner,12000,54299
858
+ Bajaj Pulsar 180,30000,2009,Individual,1st owner,17500,85011
859
+ Honda Shine,37000,2016,Individual,1st owner,45000,
860
+ Honda CB Unicorn 150,42000,2013,Individual,1st owner,38000,74295
861
+ Royal Enfield Himalayan,119000,2016,Individual,1st owner,19800,
862
+ Kawasaki Ninja 650 [2018-2019],300000,2011,Individual,1st owner,12000,589000
863
+ Royal Enfield Classic 350,130000,1993,Individual,2nd owner,10000,
864
+ Hero Honda Passion Plus,22000,2008,Individual,2nd owner,85000,
865
+ Hero Honda Splendor Plus,15000,2007,Individual,1st owner,70000,
866
+ Benelli TNT 25,160000,2017,Individual,1st owner,2009,170994
867
+ Royal Enfield Thunderbird 500X,185000,2018,Individual,1st owner,1500,198605
868
+ Royal Enfield Continental GT [2013 - 2018],110000,2014,Individual,1st owner,12077,208902
869
+ KTM RC 200,150000,2017,Individual,1st owner,20000,
870
+ Royal Enfield Bullet 350 [2007-2011],150000,1995,Individual,3rd owner,20000,
871
+ Bajaj Pulsar 220F,45000,2011,Individual,1st owner,40000,
872
+ Bajaj Avenger Street 220,75000,2018,Individual,1st owner,12000,95955
873
+ Honda Activa 125 [2016-2017],50000,2017,Individual,1st owner,27000,61545
874
+ Honda Shine,30000,2013,Individual,1st owner,93000,
875
+ Bajaj Discover 150F,30000,2015,Individual,1st owner,12000,64071
876
+ Bajaj Pulsar 150 [2001-2011],22000,2011,Individual,1st owner,36000,
877
+ Hero Karizma ZMR,75000,2015,Individual,1st owner,11000,108000
878
+ Honda Dream Yuga,45000,2017,Individual,1st owner,26000,56147
879
+ Hero Glamour 125,35000,2014,Individual,1st owner,450000,61600
880
+ Honda Activa [2000-2015],35000,2012,Individual,1st owner,29000,50267
881
+ Bajaj CT 100,25000,2017,Individual,1st owner,45000,
882
+ Honda CB Hornet 160R,70000,2017,Individual,1st owner,13000,92210
883
+ Hero CD Dawn,10000,2005,Individual,1st owner,48000,
884
+ Royal Enfield Classic Gunmetal Grey,180000,2018,Individual,1st owner,5814,148114
885
+ Bajaj Discover 100,24000,2014,Individual,1st owner,31000,42859
886
+ Honda Shine,42000,2017,Individual,1st owner,25000,
887
+ TVS Max DLX,26000,2002,Individual,2nd owner,28000,
888
+ Honda Dio,60000,2018,Individual,1st owner,11000,
889
+ Bajaj Pulsar 180,72000,2017,Dealer,1st owner,7850,85011
890
+ Royal Enfield Thunderbird 350,120000,2015,Individual,1st owner,10000,
891
+ Royal Enfield Thunderbird 350,59000,2005,Individual,2nd owner,40000,
892
+ Royal Enfield Classic Chrome,185000,2015,Individual,2nd owner,5000,189313
893
+ Royal Enfield Classic Gunmetal Grey,140000,2018,Individual,1st owner,14000,148114
894
+ KTM 390 Duke,205000,2018,Individual,1st owner,7500,
895
+ Hero Pleasure [2005-2015],30000,2013,Individual,1st owner,25000,46779
896
+ TVS Victor,18000,2004,Individual,1st owner,46700,54852
897
+ Bajaj Pulsar 150,35000,2011,Individual,1st owner,12000,
898
+ KTM RC 200,185000,2019,Individual,1st owner,6000,
899
+ Kawasaki Ninja 300,300000,2016,Individual,1st owner,9800,360000
900
+ Honda Dream Yuga,30000,2015,Individual,2nd owner,46070,56147
901
+ Bajaj Pulsar 150,35000,2009,Individual,1st owner,14500,
902
+ Bajaj Pulsar 150 [2001-2011],35000,2008,Individual,1st owner,70000,
903
+ Hero Honda Passion Plus,25000,2008,Dealer,2nd owner,100000,
904
+ Yamaha YZF R15 [2011-2018],80000,2013,Dealer,1st owner,30000,118997
905
+ Hero Honda Splendor Plus,20000,2004,Individual,2nd owner,127000,
906
+ Hero Karizma ZMR,43000,2012,Individual,2nd owner,63000,108000
907
+ Hero Honda Splendor Plus,20000,2010,Individual,2nd owner,30000,
908
+ Yo Style,20000,2011,Individual,1st owner,10000,37675
909
+ Hero Splendor iSmart,40000,2015,Individual,1st owner,10000,52271
910
+ Hero Super Splendor,30000,2011,Individual,1st owner,89000,
911
+ Bajaj Discover 100,21000,2009,Individual,1st owner,50000,42859
912
+ Yamaha Fazer [2009-2016],35000,2011,Individual,1st owner,15500,84751
913
+ Bajaj Discover 125,23000,2011,Individual,1st owner,66000,57549
914
+ Hero Super Splendor,40000,2017,Individual,2nd owner,80000,
915
+ Honda Shine,40000,2011,Individual,1st owner,8600,
916
+ Bajaj Discover 125 M,45000,2014,Individual,1st owner,40000,47186
917
+ Bajaj Avenger Street 150 [2018],60000,2016,Individual,1st owner,25000,80435
918
+ Yamaha Fazer [2009-2016],40000,2013,Individual,1st owner,34500,84751
919
+ Hero Passion X Pro [2016-2017],42000,2016,Individual,1st owner,15500,59095
920
+ Honda Activa [2000-2015],18000,2011,Individual,1st owner,28000,50267
921
+ TVS Star City,15000,2006,Individual,1st owner,40000,46575
922
+ Hero Honda Hunk,45000,2013,Individual,1st owner,40000,
923
+ TVS Star City,25000,2016,Individual,1st owner,50000,47108
924
+ Bajaj Pulsar 150,70000,2017,Individual,1st owner,24000,
925
+ Bajaj Discover 100,23000,2012,Individual,1st owner,50000,42859
926
+ TVS Victor,10000,2005,Individual,1st owner,55000,54852
927
+ Hero Honda Splendor Plus,25000,2012,Individual,1st owner,70000,
928
+ Honda Aviator,25000,2012,Individual,2nd owner,12000,59183
929
+ Bajaj Pulsar 180,50000,2010,Individual,1st owner,70000,85011
930
+ Bajaj Avenger [2015],60000,2015,Individual,2nd owner,16000,75502
931
+ Hero CD Dawn,35000,2014,Individual,1st owner,38000,
932
+ Hero Maestro,50000,2016,Individual,1st owner,100000,49412
933
+ Honda CB Shine SP,50000,2016,Individual,1st owner,45000,64750
934
+ Hero Honda CD Deluxe,25500,2012,Individual,1st owner,28990,
935
+ Hero Honda Hunk,35000,2010,Individual,1st owner,13000,
936
+ Hero Honda CD Deluxe,20000,2005,Individual,1st owner,15000,
937
+ Honda Activa 3G,40000,2016,Individual,1st owner,60000,54605
938
+ Bajaj Pulsar 135 LS,45000,2017,Individual,1st owner,22000,64589
939
+ Bajaj Pulsar 150 [2001-2011],30000,2008,Individual,1st owner,19500,
940
+ Hero Pleasure,30000,2013,Individual,1st owner,25000,49600
941
+ Hero Honda CBZ extreme,30000,2011,Individual,3rd owner,70000,
942
+ Bajaj Pulsar 150,40000,2014,Individual,2nd owner,65000,
943
+ Honda CB Twister,25000,2012,Individual,1st owner,86000,53857
944
+ Honda Livo,45000,2017,Individual,1st owner,30000,
945
+ Bajaj Pulsar AS200,65000,2015,Individual,1st owner,33000,92074
946
+ Honda Activa 3G,40000,2015,Individual,1st owner,36000,54605
947
+ Hero Honda Hunk,40000,2010,Individual,1st owner,41000,
948
+ Honda CB Hornet 160R,70000,2017,Individual,1st owner,28000,83340
949
+ Hero HF Deluxe,35000,2018,Individual,1st owner,15000,
950
+ Hero Splendor PRO,35000,2015,Individual,1st owner,35280,51994
951
+ Bajaj Boxer,15000,2004,Individual,1st owner,18000,
952
+ Royal Enfield Electra 5 S,99000,2012,Individual,1st owner,28000,
953
+ Royal Enfield Electra 5 S,90000,2012,Individual,1st owner,40000,
954
+ Hero Honda Hunk,20000,2010,Individual,1st owner,17000,
955
+ Hero Ignitor,36000,2016,Individual,1st owner,23000,65599
956
+ Bajaj Discover 100 M,32000,2014,Individual,1st owner,30000,44756
957
+ Honda Activa 3G,50000,2016,Individual,1st owner,6000,54605
958
+ Bajaj Pulsar 135 LS,50000,2015,Individual,1st owner,48000,64589
959
+ Bajaj Pulsar 220 DTS-i,60000,2014,Individual,1st owner,16000,
960
+ Hero Honda CBZ extreme,40000,2009,Individual,1st owner,50000,
961
+ Hero Honda CBZ extreme,35000,2012,Individual,1st owner,60000,
962
+ Royal Enfield Thunder 500,175000,2018,Individual,1st owner,3000,190000
963
+ UM Renegade Mojave,170000,2019,Individual,1st owner,1400,182000
964
+ KTM RC200,165000,2019,Individual,1st owner,4000,178000
965
+ Bajaj Dominar 400,145000,2019,Individual,1st owner,1200,160000
966
+ Royal Enfield Classic 350,135000,2019,Individual,1st owner,4100,147000
967
+ KTM RC390,135000,2017,Individual,1st owner,21700,237000
968
+ Hyosung GT250R,135000,2016,Individual,2nd owner,16500,345000
969
+ Royal Enfield Thunder 350,125000,2015,Individual,1st owner,15000,150000
970
+ Royal Enfield Thunder 350,120000,2018,Individual,1st owner,18000,150000
971
+ Royal Enfield Classic 350,120000,2019,Individual,1st owner,11000,147000
972
+ KTM RC200,120000,2018,Individual,1st owner,6000,178000
973
+ Royal Enfield Thunder 350,115000,2018,Individual,1st owner,8700,150000
974
+ KTM 390 Duke ,115000,2016,Individual,1st owner,7000,240000
975
+ Mahindra Mojo XT300,115000,2018,Individual,1st owner,35000,140000
976
+ Royal Enfield Classic 350,115000,2017,Individual,1st owner,17000,147000
977
+ Royal Enfield Classic 350,111000,2017,Individual,1st owner,17500,147000
978
+ Royal Enfield Classic 350,110000,2015,Individual,1st owner,33000,147000
979
+ Royal Enfield Thunder 500,110000,2017,Individual,1st owner,14000,190000
980
+ Royal Enfield Classic 350,110000,2017,Individual,1st owner,26000,147000
981
+ Royal Enfield Thunder 500,105000,2015,Individual,1st owner,5400,190000
982
+ Bajaj Pulsar RS200,105000,2018,Individual,1st owner,5700,126000
983
+ Royal Enfield Thunder 350,105000,2013,Individual,1st owner,6900,150000
984
+ Royal Enfield Bullet 350,105000,2018,Individual,1st owner,6000,117000
985
+ Royal Enfield Classic 350,100000,2015,Individual,1st owner,46500,147000
986
+ Royal Enfield Classic 500,95000,2014,Individual,1st owner,11500,175000
987
+ Royal Enfield Classic 500,90000,2011,Individual,1st owner,40000,175000
988
+ Bajaj Avenger 220,90000,2019,Individual,1st owner,1300,95000
989
+ Bajaj Avenger 150,75000,2018,Individual,1st owner,7000,80000
990
+ Honda CB Hornet 160R,80000,2019,Individual,1st owner,3000,87000
991
+ Yamaha FZ S V 2.0,78000,2019,Individual,1st owner,5000,84000
992
+ Honda CB Hornet 160R,75000,2019,Individual,1st owner,11000,87000
993
+ Yamaha FZ 16,75000,2017,Individual,1st owner,18000,82000
994
+ Bajaj Avenger 220,75000,2019,Individual,1st owner,3500,95000
995
+ Bajaj Avenger 220,72000,2018,Individual,1st owner,500,95000
996
+ TVS Apache RTR 160,65000,2019,Individual,1st owner,11800,81000
997
+ Bajaj Pulsar 150,65000,2017,Individual,1st owner,5000,74000
998
+ Honda CBR 150,65000,2016,Individual,1st owner,23500,120000
999
+ Hero Extreme,65000,2015,Individual,1st owner,16000,78700
1000
+ Honda CB Hornet 160R,60000,2018,Individual,1st owner,15000,87000
1001
+ Bajaj Avenger 220 dtsi,60000,2017,Individual,1st owner,16600,95000
1002
+ Honda CBR 150,60000,2015,Individual,1st owner,32000,120000
1003
+ Bajaj Avenger 150 street,60000,2018,Individual,1st owner,20000,80000
1004
+ Yamaha FZ v 2.0,60000,2017,Individual,1st owner,29000,84000
1005
+ Yamaha FZ v 2.0,60000,2018,Individual,1st owner,25000,84000
1006
+ Bajaj Pulsar NS 200,60000,2016,Individual,1st owner,25000,99000
1007
+ TVS Apache RTR 160,60000,2014,Individual,1st owner,19000,81000
1008
+ Hero Extreme,55000,2016,Individual,1st owner,15000,78700
1009
+ Yamaha FZ S V 2.0,55000,2017,Individual,1st owner,58000,84000
1010
+ Bajaj Pulsar 220 F,52000,2012,Individual,1st owner,45000,94000
1011
+ Bajaj Pulsar 220 F,51000,2018,Individual,1st owner,24000,94000
1012
+ TVS Apache RTR 180,50000,2013,Individual,1st owner,6000,82600
1013
+ Hero Passion X pro,50000,2018,Individual,1st owner,31000,55000
1014
+ Bajaj Pulsar NS 200,50000,2014,Individual,1st owner,13000,99000
1015
+ Bajaj Pulsar NS 200,50000,2015,Individual,1st owner,45000,99000
1016
+ Yamaha Fazer ,50000,2016,Individual,1st owner,8000,88000
1017
+ Honda Activa 4G,48000,2019,Individual,1st owner,4300,51000
1018
+ TVS Sport ,48000,2019,Individual,1st owner,15000,52000
1019
+ Yamaha FZ S V 2.0,48000,2017,Individual,1st owner,23000,84000
1020
+ Honda Dream Yuga ,48000,2019,Individual,1st owner,8600,54000
1021
+ Honda Activa 4G,45000,2019,Individual,1st owner,4000,51000
1022
+ Bajaj Avenger Street 220,45000,2013,Individual,1st owner,24000,95000
1023
+ TVS Apache RTR 180,45000,2016,Individual,1st owner,23000,82600
1024
+ Bajaj Pulsar NS 200,45000,2014,Individual,1st owner,14500,99000
1025
+ Bajaj Avenger 220 dtsi,45000,2012,Individual,1st owner,27000,95000
1026
+ Hero Splender iSmart,45000,2018,Individual,1st owner,14000,54000
1027
+ Activa 3g,45000,2018,Individual,1st owner,500,54000
1028
+ Hero Passion Pro,45000,2018,Individual,1st owner,1000,55000
1029
+ TVS Apache RTR 160,42000,2016,Individual,1st owner,42000,81000
1030
+ Honda CB Trigger,42000,2015,Individual,1st owner,12000,73000
1031
+ Hero Splender iSmart,40000,2017,Individual,1st owner,14000,54000
1032
+ Yamaha FZ S ,40000,2014,Individual,1st owner,5500,83000
1033
+ Hero Passion Pro,40000,2017,Individual,1st owner,6700,55000
1034
+ Bajaj Pulsar 135 LS,40000,2016,Individual,1st owner,13700,64000
1035
+ Activa 4g,40000,2019,Individual,1st owner,1300,51000
1036
+ Honda CB Unicorn,38000,2017,Individual,1st owner,38600,72000
1037
+ Hero Honda CBZ extreme,38000,2013,Individual,1st owner,75000,78700
1038
+ Honda Karizma,35000,2013,Individual,1st owner,30000,105000
1039
+ Honda Activa 125,35000,2018,Individual,1st owner,24000,57000
1040
+ TVS Jupyter,35000,2016,Individual,1st owner,19000,52000
1041
+ Honda Karizma,31000,2012,Individual,1st owner,213000,105000
1042
+ Hero Honda Passion Pro,30000,2014,Individual,1st owner,60000,51000
1043
+ Hero Splender Plus,30000,2018,Individual,1st owner,50000,48000
1044
+ Honda CB Shine,30000,2015,Individual,1st owner,30000,58000
1045
+ Bajaj Discover 100,27000,2015,Individual,1st owner,21000,47000
1046
+ Bajaj Pulsar 150,25000,2010,Individual,2nd owner,26000,75000
1047
+ Suzuki Access 125,25000,2010,Individual,1st owner,1900,58000
1048
+ TVS Wego,25000,2012,Individual,1st owner,22000,52000
1049
+ Honda CB twister,25000,2015,Individual,1st owner,32000,51000
1050
+ Hero Glamour,25000,2015,Individual,1st owner,18000,57000
1051
+ Hero Super Splendor,20000,2007,Individual,1st owner,55000,57000
1052
+ Bajaj Pulsar 150,20000,2010,Individual,1st owner,60000,75000
1053
+ Bajaj Discover 125,20000,2014,Individual,2nd owner,25000,57000
1054
+ Hero Hunk,20000,2009,Individual,2nd owner,49000,75000
1055
+ Hero Ignitor Disc,20000,2015,Individual,2nd owner,24000,65000
1056
+ Hero CBZ Xtreme,20000,2010,Individual,1st owner,50000,78700
1057
+ Bajaj ct 100,18000,2017,Individual,1st owner,35000,32000
1058
+ Activa 3g,17000,2010,Individual,1st owner,500000,52000
1059
+ Honda CB twister,16000,2012,Individual,1st owner,33000,51000
1060
+ Bajaj Discover 125,15000,2013,Individual,2nd owner,35000,57000
1061
+ Honda CB Shine,12000,2009,Individual,1st owner,53000,58000
1062
+ Bajaj Pulsar 150,10000,2008,Individual,1st owner,92233,75000
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+
61
+ .bot-message {
62
+ background-color: #e2e3e5;
63
+ color: black;
64
+ text-align: left;
65
+ margin-left: 50px;
66
+ }
67
+
68
+ .user-message strong,
69
+ .bot-message strong {
70
+ display: block;
71
+ margin-bottom: 5px;
72
+ }
73
+ </style>
74
+ </head>
75
+
76
+ <body>
77
+ <div class="text-center mb-4">
78
+ <img src="/static/galvatron.png" alt="Galvatron Logo" class="img-fluid" style="max-width: 200px;"> <!-- Adjust the max-width as needed -->
79
+ </div>
80
+
81
+ <div class="container">
82
+ <h1 class="text-center mb-4">Upload CSV or Excel File</h1>
83
+ <form action="/process" method="post" enctype="multipart/form-data" class="mb-5">
84
+ <div class="mb-3">
85
+ <input type="file" name="file" accept=".csv,.xlsx" required class="form-control">
86
+ </div>
87
+
88
+ <button type="submit" class="btn btn-primary btn-lg btn-block">Upload <i class="fas fa-upload"></i></button>
89
+ </form>
90
+
91
+ {% if columns %}
92
+ <form action="/result" method="post" enctype="multipart/form-data" class="mb-5">
93
+ <div class="mb-3">
94
+ <label for="target" class="form-label">Select target variable:</label>
95
+ <select id="target" name="target" class="form-select">
96
+ {% for column in columns %}
97
+ <option value="{{ column }}">{{ column }}</option>
98
+ {% endfor %}
99
+ </select>
100
+
101
+ <label for="target" class="form-label">Select Algorithm to do Prediction:</label>
102
+ <select name="algorithm" class="form-select">
103
+ <option value="Decision Tree">Decision Tree</option>
104
+ <option value="Random Forest">Random Forest</option>
105
+ </select>
106
+ </div>
107
+
108
+ <button type="submit" class="btn btn-primary btn-lg btn-block">Upload <i class="fas fa-upload"></i></button>
109
+ </form>
110
+ {% endif %}
111
+
112
+ {% if response1 and response2 %}
113
+ <h2>Analysis Result</h2>
114
+ <div class="mb-4">
115
+ <h3>Countplot Barchart</h3>
116
+ <img src="{{ url_for('static', path=plot1_path.split('/')[-1]) }}" alt="Plot 1" class="img-fluid">
117
+ <p>{{ response1|safe }}</p>
118
+ </div>
119
+ <div class="mb-4">
120
+ <h3>Histogram Plot</h3>
121
+ <img src="{{ url_for('static', path=plot2_path.split('/')[-1]) }}" alt="Plot 2" class="img-fluid">
122
+ <p>{{ response2|safe }}</p>
123
+ </div>
124
+ {% endif %}
125
+
126
+ {% if response5 %}
127
+ <div class="mb-4">
128
+ <h3>Pairplot</h3>
129
+ <img src="{{ url_for('static', path=plot5_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
130
+ <p>{{ response5|safe }}</p>
131
+ </div>
132
+ {% endif %}
133
+
134
+ {% if response3 %}
135
+ <div class="mb-4">
136
+ <h3>Multiclass Barplot</h3>
137
+ <img src="{{ url_for('static', path=plot3_path.split('/')[-1]) }}" alt="Plot 3" class="img-fluid">
138
+ <p>{{ response3|safe }}</p>
139
+ </div>
140
+ {% endif %}
141
+
142
+ {% if response4 %}
143
+ <div class="mb-4">
144
+ <h3>Multiclass Histogram Plot</h3>
145
+ <img src="{{ url_for('static', path=plot4_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
146
+ <p>{{ response4|safe }}</p>
147
+ </div>
148
+ {% endif %}
149
+
150
+ {% if response6 %}
151
+ <div class="mb-4">
152
+ <h3>Multiclass Pairplot</h3>
153
+ <img src="{{ url_for('static', path=plot6_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
154
+ <p>{{ response6|safe }}</p>
155
+ </div>
156
+ {% endif %}
157
+
158
+ {% if response7 %}
159
+ <div class="mb-4">
160
+ <h3>Multiclass Pairplot</h3>
161
+ <img src="{{ url_for('static', path=plot7_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
162
+ <p>{{ response7|safe }}</p>
163
+ </div>
164
+ {% endif %}
165
+
166
+ {% if response8 %}
167
+ <div class="mb-4">
168
+ <h3>Decision Tree Regressor</h3>
169
+ <img src="{{ url_for('static', path=plot8_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
170
+ <p>{{ response8|safe }}</p>
171
+ </div>
172
+ {% endif %}
173
+
174
+ {% if response9 %}
175
+ <div class="mb-4">
176
+ <h3>Decision Tree Classifier</h3>
177
+ <img src="{{ url_for('static', path=plot9_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
178
+ <p>{{ response9|safe }}</p>
179
+ </div>
180
+ {% endif %}
181
+
182
+ {% if response10 %}
183
+ <div class="mb-4">
184
+ <h3>Random Forest Regressor</h3>
185
+ <img src="{{ url_for('static', path=plot10_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
186
+ <p>{{ response10|safe }}</p>
187
+ </div>
188
+ {% endif %}
189
+
190
+ {% if response11 %}
191
+ <div class="mb-4">
192
+ <h3>Random Forest Classifier</h3>
193
+ <img src="{{ url_for('static', path=plot11_path.split('/')[-1]) }}" alt="Plot 4" class="img-fluid">
194
+ <p>{{ response11|safe }}</p>
195
+ </div>
196
+ {% endif %}
197
+
198
+ {% if show_conversation %}
199
+ <h3>Conversation</h3>
200
+ <form action="/ask" method="post" class="mb-5">
201
+ <div class="input-group">
202
+ <input type="text" name="question" class="form-control" placeholder="Ask your question..." required>
203
+ <button type="submit" class="btn btn-outline-secondary">Ask <i class="fas fa-question-circle"></i></button>
204
+ </div>
205
+ </form>
206
+ {% endif %}
207
+
208
+ {% if question_responses %}
209
+ <h3>Conversation History:</h3>
210
+ <div class="chat-container mb-4">
211
+ {% for question, response in question_responses %}
212
+ <div class="chat-message user-message">
213
+ <strong>You:</strong> {{ question }}
214
+ </div>
215
+ <div class="chat-message bot-message">
216
+ <strong>Response:</strong> {{ response|safe }}
217
+ </div>
218
+ {% endfor %}
219
+ </div>
220
+ {% endif %}
221
+
222
+ </div>
223
+
224
+ <script src="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0/dist/js/bootstrap.bundle.min.js"></script>
225
+ </body>
226
+ </html>
webapp.py ADDED
@@ -0,0 +1,856 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+ import seaborn as sns
3
+ import matplotlib
4
+ import matplotlib.pyplot as plt
5
+ matplotlib.use('Agg')
6
+ import numpy as np
7
+ import google.generativeai as genai
8
+ from PIL import Image
9
+ from werkzeug.utils import secure_filename
10
+ import os
11
+ import json
12
+ from fpdf import FPDF
13
+ from fastapi import FastAPI, File, UploadFile, Form, HTTPException
14
+ from fastapi.responses import HTMLResponse, FileResponse
15
+ from fastapi.staticfiles import StaticFiles
16
+ from fastapi.templating import Jinja2Templates
17
+ from starlette.requests import Request
18
+ from typing import List
19
+ import textwrap
20
+ from IPython.display import display, Markdown
21
+ from PIL import Image
22
+ import shutil
23
+ from werkzeug.utils import secure_filename
24
+ import urllib.parse
25
+ import re
26
+ from langchain_google_genai import ChatGoogleGenerativeAI
27
+ from langchain_community.document_loaders import PyPDFLoader, UnstructuredCSVLoader, UnstructuredExcelLoader, Docx2txtLoader, UnstructuredPowerPointLoader
28
+ from langchain.chains import StuffDocumentsChain
29
+ from langchain.chains.llm import LLMChain
30
+ from langchain.prompts import PromptTemplate
31
+ from langchain.vectorstores import FAISS
32
+ from langchain_google_genai import GoogleGenerativeAIEmbeddings
33
+ from langchain.text_splitter import CharacterTextSplitter
34
+
35
+ app = FastAPI()
36
+ app.mount("/static", StaticFiles(directory="static"), name="static")
37
+ templates = Jinja2Templates(directory="templates")
38
+
39
+ sns.set_theme(color_codes=True)
40
+ uploaded_df = None
41
+ document_analyzed = False
42
+ question_responses = []
43
+
44
+
45
+ def format_text(text):
46
+ # Replace **text** with <b>text</b>
47
+ text = re.sub(r'\*\*(.*?)\*\*', r'<b>\1</b>', text)
48
+ # Replace any remaining * with <br>
49
+ text = text.replace('*', '<br>')
50
+ return text
51
+
52
+ def clean_data(df):
53
+ # Step 1: Clean currency-related columns
54
+ for col in df.columns:
55
+ if any(x in col.lower() for x in ['value', 'price', 'cost', 'amount']):
56
+ if df[col].dtype == 'object':
57
+ df[col] = df[col].str.replace('$', '').str.replace('£', '').str.replace('€', '').replace('[^\d.-]', '', regex=True).astype(float)
58
+
59
+ # Step 2: Drop columns with more than 25% missing values
60
+ null_percentage = df.isnull().sum() / len(df)
61
+ columns_to_drop = null_percentage[null_percentage > 0.25].index
62
+ df.drop(columns=columns_to_drop, inplace=True)
63
+
64
+ # Step 3: Fill missing values for remaining columns
65
+ for col in df.columns:
66
+ if df[col].isnull().sum() > 0:
67
+ if null_percentage[col] <= 0.25:
68
+ if df[col].dtype in ['float64', 'int64']:
69
+ median_value = df[col].median()
70
+ df[col].fillna(median_value, inplace=True)
71
+
72
+ # Step 4: Convert object-type columns to lowercase
73
+ for col in df.columns:
74
+ if df[col].dtype == 'object':
75
+ df[col] = df[col].str.lower()
76
+
77
+ # Step 5: Drop columns with only one unique value
78
+ unique_value_columns = [col for col in df.columns if df[col].nunique() == 1]
79
+ df.drop(columns=unique_value_columns, inplace=True)
80
+
81
+ return df
82
+
83
+
84
+
85
+
86
+ def clean_data2(df):
87
+ for col in df.columns:
88
+ if 'value' in col or 'price' in col or 'cost' in col or 'amount' in col or 'Value' in col or 'Price' in col or 'Cost' in col or 'Amount' in col:
89
+ if df[col].dtype == 'object':
90
+ df[col] = df[col].str.replace('$', '')
91
+ df[col] = df[col].str.replace('£', '')
92
+ df[col] = df[col].str.replace('€', '')
93
+ df[col] = df[col].replace('[^\d.-]', '', regex=True).astype(float)
94
+
95
+ null_percentage = df.isnull().sum() / len(df)
96
+
97
+ for col in df.columns:
98
+ if df[col].isnull().sum() > 0:
99
+ if null_percentage[col] <= 0.25:
100
+ if df[col].dtype in ['float64', 'int64']:
101
+ median_value = df[col].median()
102
+ df[col].fillna(median_value, inplace=True)
103
+
104
+ for col in df.columns:
105
+ if df[col].dtype == 'object':
106
+ df[col] = df[col].str.lower()
107
+
108
+ return df
109
+
110
+
111
+
112
+ def generate_plot(df, plot_path, plot_type):
113
+ df = clean_data(df)
114
+ excluded_words = ["name", "postal", "date", "phone", "address", "code", "id"]
115
+
116
+ if plot_type == 'countplot':
117
+ cat_vars = [col for col in df.select_dtypes(include='object').columns
118
+ if all(word not in col.lower() for word in excluded_words) and df[col].nunique() > 1]
119
+
120
+ for col in cat_vars:
121
+ if df[col].nunique() > 10:
122
+ top_categories = df[col].value_counts().index[:10]
123
+ df[col] = df[col].apply(lambda x: x if x in top_categories else 'Other')
124
+
125
+ num_cols = len(cat_vars)
126
+ num_rows = (num_cols + 1) // 2
127
+ fig, axs = plt.subplots(nrows=num_rows, ncols=2, figsize=(15, 5*num_rows))
128
+ axs = axs.flatten()
129
+
130
+ for i, var in enumerate(cat_vars):
131
+ category_counts = df[var].value_counts()
132
+ top_values = category_counts.index[:10][::-1]
133
+ filtered_df = df.copy()
134
+ filtered_df[var] = pd.Categorical(filtered_df[var], categories=top_values, ordered=True)
135
+ sns.countplot(x=var, data=filtered_df, order=top_values, ax=axs[i])
136
+ axs[i].set_title(var)
137
+ axs[i].tick_params(axis='x', rotation=30)
138
+
139
+ total = len(filtered_df[var])
140
+ for p in axs[i].patches:
141
+ height = p.get_height()
142
+ axs[i].annotate(f'{height/total:.1%}', (p.get_x() + p.get_width() / 2., height), ha='center', va='bottom')
143
+
144
+ sample_size = filtered_df.shape[0]
145
+
146
+
147
+ for i in range(num_cols, len(axs)):
148
+ fig.delaxes(axs[i])
149
+
150
+ elif plot_type == 'histplot':
151
+ num_vars = [col for col in df.select_dtypes(include=['int', 'float']).columns
152
+ if all(word not in col.lower() for word in excluded_words)]
153
+ num_cols = len(num_vars)
154
+ num_rows = (num_cols + 2) // 3
155
+ fig, axs = plt.subplots(nrows=num_rows, ncols=min(3, num_cols), figsize=(15, 5*num_rows))
156
+ axs = axs.flatten()
157
+
158
+ plot_index = 0
159
+
160
+ for i, var in enumerate(num_vars):
161
+ if len(df[var].unique()) == len(df):
162
+ fig.delaxes(axs[plot_index])
163
+ else:
164
+ sns.histplot(df[var], ax=axs[plot_index], kde=True, stat="percent")
165
+ axs[plot_index].set_title(var)
166
+ axs[plot_index].set_xlabel('')
167
+
168
+ sample_size = df.shape[0]
169
+
170
+
171
+ plot_index += 1
172
+
173
+ for i in range(plot_index, len(axs)):
174
+ fig.delaxes(axs[i])
175
+
176
+ fig.tight_layout()
177
+ fig.savefig(plot_path)
178
+ plt.close(fig)
179
+ return plot_path
180
+
181
+ @app.get("/", response_class=HTMLResponse)
182
+ async def read_form(request: Request):
183
+ return templates.TemplateResponse("upload.html", {"request": request})
184
+
185
+ @app.post("/process/", response_class=HTMLResponse)
186
+ async def process_file(request: Request, file: UploadFile = File(...)):
187
+ global df, uploaded_file, document_analyzed, file_path, file_extension
188
+ uploaded_file = file
189
+ file_location = f"static/{file.filename}"
190
+
191
+ # Save the uploaded file to the server
192
+ with open(file_location, "wb") as buffer:
193
+ shutil.copyfileobj(file.file, buffer)
194
+
195
+ # Load DataFrame based on file type
196
+ file_extension = os.path.splitext(file.filename)[1]
197
+ if file_extension == '.csv':
198
+ file_path = 'dataset.csv'
199
+ df = pd.read_csv(file_location, delimiter=",")
200
+ df.to_csv(file_path, index=False) # Save as dataset.csv
201
+ elif file_extension == '.xlsx':
202
+ file_path = 'dataset.xlsx'
203
+ df = pd.read_excel(file_location)
204
+ df.to_excel(file_path, index=False) # Save as dataset.xlsx
205
+ else:
206
+ raise HTTPException(status_code=415, detail="Unsupported file format")
207
+
208
+ # Get columns of the DataFrame
209
+ columns = df.columns.tolist()
210
+
211
+ return templates.TemplateResponse("upload.html", {"request": request, "columns": columns})
212
+
213
+
214
+ @app.post("/result")
215
+ async def result(request: Request,
216
+ target: str = Form(...),
217
+ algorithm: str = Form(...)):
218
+ global df, api
219
+ global plot1_path, plot2_path, plot3_path, plot4_path, plot5_path, plot6_path, plot7_path, plot8_path, plot9_path, plot10_path, plot11_path
220
+ global response1, response2, response3, response4, response5, response6, response7, response8, response9, response10, response11
221
+
222
+
223
+ api = "AIzaSyCFI6cTqFdS-mpZBfi7kxwygewtnuF7PfA"
224
+ excluded_words = ["name", "postal", "date", "phone", "address", "id"]
225
+
226
+ if df[target].dtype in ['float64', 'int64']:
227
+ unique_values = df[target].nunique()
228
+
229
+ # If unique values > 20, treat it as regression, else classification
230
+ if unique_values > 20:
231
+ method = "Regression"
232
+ else:
233
+ method = "Classification"
234
+ else:
235
+ # If the target is not numeric, treat it as classification
236
+ method = "Classification"
237
+
238
+
239
+
240
+ # Initialize response3 and plot3_path to None
241
+ response3 = None
242
+ plot3_path = None
243
+ response4 = None
244
+ plot4_path = None
245
+ response6 = None
246
+ plot6_path = None
247
+ response8 = None # Initialize response8
248
+ plot8_path = None # Initialize plot8_path
249
+ response9 = None # Initialize response9
250
+ plot9_path = None # Initialize plot9_path
251
+ response10 = None # Initialize response8
252
+ plot10_path = None # Initialize plot8_path
253
+ response11 = None # Initialize response9
254
+ plot11_path = None # Initialize plot9_path
255
+
256
+ if method == "Classification":
257
+ cat_vars = [col for col in df.select_dtypes(include=['object']).columns
258
+ if all(word not in col.lower() for word in excluded_words)]
259
+
260
+ # Exclude the target variable from the list if it exists in cat_vars
261
+ if target in cat_vars:
262
+ cat_vars.remove(target)
263
+
264
+ # Create a figure with subplots, but only include the required number of subplots
265
+ num_cols = len(cat_vars)
266
+ num_rows = (num_cols + 2) // 3 # To make sure there are enough rows for the subplots
267
+ fig, axs = plt.subplots(nrows=num_rows, ncols=3, figsize=(15, 5*num_rows))
268
+ axs = axs.flatten()
269
+
270
+ # Create a count plot for each categorical variable
271
+ for i, var in enumerate(cat_vars):
272
+ top_categories = df[var].value_counts().nlargest(5).index
273
+ filtered_df = df[df[var].notnull() & df[var].isin(top_categories)] # Exclude rows with NaN values in the variable
274
+
275
+ # Replace less frequent categories with "Other" if there are more than 5 unique values
276
+ if df[var].nunique() > 5:
277
+ other_categories = df[var].value_counts().index[5:]
278
+ filtered_df[var] = filtered_df[var].apply(lambda x: x if x in top_categories else 'Other')
279
+
280
+ sns.countplot(x=var, hue=target, stat="percent", data=filtered_df, ax=axs[i])
281
+ axs[i].set_xticklabels(axs[i].get_xticklabels(), rotation=45)
282
+
283
+ # Change y-axis label to represent percentage
284
+ axs[i].set_ylabel('Percentage')
285
+
286
+ # Annotate the subplot with sample size
287
+ sample_size = df.shape[0]
288
+ axs[i].annotate(f'Sample Size = {sample_size}', xy=(0.5, 0.9), xycoords='axes fraction', ha='center', va='center')
289
+
290
+ # Remove any remaining blank subplots
291
+ for i in range(num_cols, len(axs)):
292
+ fig.delaxes(axs[i])
293
+
294
+ plt.xticks(rotation=45)
295
+ plt.tight_layout()
296
+ plot3_path = "static/multiclass_barplot.png"
297
+ plt.savefig(plot3_path)
298
+ plt.close(fig)
299
+
300
+ #response 3
301
+ def to_markdown(text):
302
+ text = text.replace('•', ' *')
303
+ return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))
304
+
305
+ genai.configure(api_key=api)
306
+
307
+ import PIL.Image
308
+
309
+ img = PIL.Image.open("static/multiclass_barplot.png")
310
+ model = genai.GenerativeModel('gemini-1.5-flash-latest')
311
+ #response = model.generate_content(img)
312
+ response = model.generate_content(["As a marketing consulant, I want to understand consumer insighst based on the chart and the market context so I can use the key findings to formulate actionable insights", img])
313
+ response.resolve()
314
+ response3 = format_text(response.text)
315
+
316
+
317
+ if method == "Classification":
318
+ # Generate Multiclass Pairplot
319
+ pairplot_fig = sns.pairplot(df, hue=target)
320
+ plot6_path = "static/pair1.png" # Use plot6_path
321
+ pairplot_fig.savefig(plot6_path) # Save the pairplot as a PNG file
322
+
323
+
324
+ # Google Gemini Integration
325
+ genai.configure(api_key=api)
326
+ img = PIL.Image.open(plot6_path)
327
+ model = genai.GenerativeModel('gemini-1.5-flash-latest')
328
+
329
+ # Generate response based on the pairplot
330
+ response = model.generate_content([
331
+ "You are a professional Data Analyst, write the complete conclusion and actionable insight based on the image. Explain it by points.",
332
+ img
333
+ ])
334
+ response.resolve()
335
+
336
+ # Assign the response to response6
337
+ response6 = format_text(response.text)
338
+
339
+ # Include response6 and plot6_path in the data dictionary to be passed to the template
340
+
341
+
342
+ if method == "Classification":
343
+ # Multiclass Histplot
344
+ # Get the names of all columns with data type 'object' (categorical columns)
345
+ cat_cols = df.columns.tolist()
346
+
347
+ # Get the names of all columns with data type 'int'
348
+ int_vars = df.select_dtypes(include=['int', 'float']).columns.tolist()
349
+ int_vars = [col for col in int_vars if col != target]
350
+
351
+ # Create a figure with subplots
352
+ num_cols = len(int_vars)
353
+ num_rows = (num_cols + 2) // 3 # To make sure there are enough rows for the subplots
354
+ fig, axs = plt.subplots(nrows=num_rows, ncols=3, figsize=(15, 5*num_rows))
355
+ axs = axs.flatten()
356
+
357
+ # Create a histogram for each integer variable with hue='Attrition'
358
+ for i, var in enumerate(int_vars):
359
+ top_categories = df[var].value_counts().nlargest(10).index
360
+ filtered_df = df[df[var].notnull() & df[var].isin(top_categories)]
361
+ sns.histplot(data=df, x=var, hue=target, kde=True, ax=axs[i], stat="percent")
362
+ axs[i].set_title(var)
363
+
364
+ # Annotate the subplot with sample size
365
+ sample_size = df.shape[0]
366
+ axs[i].annotate(f'Sample Size = {sample_size}', xy=(0.5, 0.9), xycoords='axes fraction', ha='center', va='center')
367
+
368
+ # Remove any extra empty subplots if needed
369
+ if num_cols < len(axs):
370
+ for i in range(num_cols, len(axs)):
371
+ fig.delaxes(axs[i])
372
+
373
+ # Adjust spacing between subplots
374
+ fig.tight_layout()
375
+ plt.xticks(rotation=45)
376
+ plot4_path = "static/multiclass_histplot.png"
377
+ plt.savefig(plot4_path)
378
+ plt.close(fig)
379
+
380
+ #response 4
381
+ def to_markdown(text):
382
+ text = text.replace('•', ' *')
383
+ return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))
384
+
385
+ genai.configure(api_key=api)
386
+
387
+ import PIL.Image
388
+
389
+ img = PIL.Image.open("static/multiclass_histplot.png")
390
+ model = genai.GenerativeModel('gemini-1.5-flash-latest')
391
+ response4 = model.generate_content(img)
392
+ response4 = model.generate_content(["As a marketing consulant, I want to understand consumer insighst based on the chart and the market context so I can use the key findings to formulate actionable insights", img])
393
+ response4.resolve()
394
+ response4 = format_text(response4.text)
395
+
396
+
397
+
398
+
399
+
400
+ # Generate Pairplot
401
+ pairplot_fig = sns.pairplot(df)
402
+ plot5_path = "static/pair2.png"
403
+ pairplot_fig.savefig(plot5_path) # Save the pairplot as a PNG file
404
+
405
+ # Google Gemini Integration
406
+ genai.configure(api_key=api)
407
+ img = PIL.Image.open(plot5_path)
408
+ model = genai.GenerativeModel('gemini-1.5-flash-latest')
409
+
410
+ # Generate response based on the pairplot
411
+ response = model.generate_content([
412
+ "You are a professional Data Analyst, write the complete conclusion and actionable insight based on the image. Explain it by points.",
413
+ img
414
+ ])
415
+ response.resolve()
416
+
417
+ # Assign the response to response5
418
+ response5 = format_text(response.text)
419
+
420
+ def generate_gemini_response(plot_path):
421
+
422
+
423
+ genai.configure(api_key=api)
424
+ img = Image.open(plot_path)
425
+ model = genai.GenerativeModel('gemini-1.5-flash-latest')
426
+ response = model.generate_content([
427
+ " As a marketing consultant, I want to understand consumer insights based on the chart and the market context so I can use the key findings to formulate actionable insights",
428
+ img
429
+ ])
430
+ response.resolve()
431
+ return response.text
432
+
433
+ plot1_path = generate_plot(df, 'static/plot1.png', 'countplot')
434
+ plot2_path = generate_plot(df, 'static/plot2.png', 'histplot')
435
+
436
+ response1 = format_text((generate_gemini_response(plot1_path)))
437
+ response2 = format_text((generate_gemini_response(plot2_path)))
438
+
439
+ from sklearn import preprocessing
440
+ for col in df.select_dtypes(include=['object']).columns:
441
+
442
+ # Initialize a LabelEncoder object
443
+ label_encoder = preprocessing.LabelEncoder()
444
+
445
+ # Fit the encoder to the unique values in the column
446
+ label_encoder.fit(df[col].unique())
447
+
448
+ # Transform the column using the encoder
449
+ df[col] = label_encoder.transform(df[col])
450
+
451
+
452
+ # Display Correlation Heatmap
453
+ plot7_path = "static/correlation_matrix.png"
454
+ fig, ax = plt.subplots(figsize=(30, 24))
455
+ correlation_matrix = df.corr()
456
+ sns.heatmap(correlation_matrix, annot=True, fmt='.2f', cmap='coolwarm', ax=ax)
457
+ plt.savefig(plot7_path)
458
+ plt.close(fig)
459
+
460
+ img = PIL.Image.open(plot7_path)
461
+ response7 = format_text((generate_gemini_response(plot7_path)))
462
+
463
+
464
+
465
+
466
+
467
+ X = df.drop(target, axis=1)
468
+ y = df[target]
469
+ from sklearn.model_selection import train_test_split
470
+ from sklearn.metrics import accuracy_score
471
+ X_train, X_test, y_train, y_test = train_test_split(X,y, test_size=0.2,random_state=0)
472
+
473
+ from scipy import stats
474
+ threshold = 3
475
+
476
+ for col in X_train.columns:
477
+ if X_train[col].nunique() > 20:
478
+ # Calculate Z-scores for the column
479
+ z_scores = np.abs(stats.zscore(X_train[col]))
480
+ # Find and remove outliers based on the threshold
481
+ outlier_indices = np.where(z_scores > threshold)[0]
482
+ X_train = X_train.drop(X_train.index[outlier_indices])
483
+ y_train = y_train.drop(y_train.index[outlier_indices])
484
+
485
+
486
+
487
+
488
+ from sklearn.tree import DecisionTreeRegressor
489
+ from sklearn.tree import DecisionTreeClassifier
490
+ from sklearn.model_selection import GridSearchCV
491
+ from sklearn import metrics
492
+ from sklearn.metrics import mean_absolute_percentage_error
493
+ import math
494
+
495
+
496
+ if algorithm == "Decision Tree":
497
+
498
+ if method == "Regression":
499
+ dtree = DecisionTreeRegressor()
500
+ param_grid = {
501
+ 'max_depth': [4, 6, 8],
502
+ 'min_samples_split': [4, 6, 8],
503
+ 'min_samples_leaf': [1, 2, 3, 4],
504
+ 'random_state': [0, 42],
505
+ 'max_features': ['auto', 'sqrt', 'log2']
506
+ }
507
+ grid_search = GridSearchCV(dtree, param_grid, cv=5, scoring='neg_mean_squared_error')
508
+ grid_search.fit(X_train, y_train)
509
+ best_params = grid_search.best_params_
510
+ dtree = DecisionTreeRegressor(**best_params)
511
+ dtree.fit(X_train, y_train)
512
+
513
+ y_pred = dtree.predict(X_test)
514
+ mae = metrics.mean_absolute_error(y_test, y_pred)
515
+ mse = metrics.mean_squared_error(y_test, y_pred)
516
+ r2 = metrics.r2_score(y_test, y_pred)
517
+ rmse = np.sqrt(mse)
518
+
519
+ # Feature importance visualization
520
+ imp_df = pd.DataFrame({
521
+ "Feature Name": X_train.columns,
522
+ "Importance": dtree.feature_importances_
523
+ })
524
+ fi = imp_df.sort_values(by="Importance", ascending=False).head(10)
525
+ fig, ax = plt.subplots(figsize=(10, 8))
526
+ sns.barplot(data=fi, x='Importance', y='Feature Name', ax=ax)
527
+ ax.set_title('Top 10 Feature Importance (Decision Tree Regressor)', fontsize=18)
528
+ plot8_path = "static/dtree_regressor.png"
529
+ plt.savefig(plot8_path)
530
+ img = PIL.Image.open(plot8_path)
531
+ response8 = format_text((generate_gemini_response(plot8_path)))
532
+
533
+
534
+ elif method == "Classification":
535
+ dtree = DecisionTreeClassifier()
536
+ param_grid = {
537
+ 'max_depth': [3, 4, 5, 6, 7],
538
+ 'min_samples_split': [2, 3, 4],
539
+ 'min_samples_leaf': [1, 2, 3],
540
+ 'random_state': [0, 42]
541
+ }
542
+ grid_search = GridSearchCV(dtree, param_grid, cv=5)
543
+ grid_search.fit(X_train, y_train)
544
+ best_params = grid_search.best_params_
545
+ dtree = DecisionTreeClassifier(**best_params)
546
+ dtree.fit(X_train, y_train)
547
+
548
+ y_pred = dtree.predict(X_test)
549
+ acc = metrics.accuracy_score(y_test, y_pred)
550
+ f1 = metrics.f1_score(y_test, y_pred, average='micro')
551
+ prec = metrics.precision_score(y_test, y_pred, average='micro')
552
+ recall = metrics.recall_score(y_test, y_pred, average='micro')
553
+
554
+ # Feature importance visualization
555
+ imp_df = pd.DataFrame({
556
+ "Feature Name": X_train.columns,
557
+ "Importance": dtree.feature_importances_
558
+ })
559
+ fi = imp_df.sort_values(by="Importance", ascending=False).head(10)
560
+ fig, ax = plt.subplots(figsize=(10, 8))
561
+ sns.barplot(data=fi, x='Importance', y='Feature Name', ax=ax)
562
+ ax.set_title('Top 10 Feature Importance (Decision Tree Classifier)', fontsize=18)
563
+ plot9_path = "static/dtree_classifier.png"
564
+ plt.savefig(plot9_path)
565
+ img = PIL.Image.open(plot9_path)
566
+ response9 = format_text((generate_gemini_response(plot9_path)))
567
+
568
+
569
+
570
+ from sklearn.ensemble import RandomForestRegressor
571
+ from sklearn.ensemble import RandomForestClassifier
572
+
573
+ if algorithm == "Random Forest":
574
+
575
+ if method == "Regression":
576
+ rf = RandomForestRegressor()
577
+ param_grid = {
578
+ 'max_depth': [4, 6, 8],
579
+ 'random_state': [0, 42],
580
+ 'max_features': ['auto', 'sqrt', 'log2']
581
+ }
582
+ grid_search = GridSearchCV(rf, param_grid, cv=5, scoring='neg_mean_squared_error')
583
+ grid_search.fit(X_train, y_train)
584
+ best_params = grid_search.best_params_
585
+ rf = RandomForestRegressor(**best_params)
586
+ rf.fit(X_train, y_train)
587
+
588
+ y_pred = rf.predict(X_test)
589
+ mae = metrics.mean_absolute_error(y_test, y_pred)
590
+ mse = metrics.mean_squared_error(y_test, y_pred)
591
+ r2 = metrics.r2_score(y_test, y_pred)
592
+ rmse = np.sqrt(mse)
593
+
594
+ # Feature importance visualization
595
+ imp_df = pd.DataFrame({
596
+ "Feature Name": X_train.columns,
597
+ "Importance": rf.feature_importances_
598
+ })
599
+ fi = imp_df.sort_values(by="Importance", ascending=False).head(10)
600
+ fig, ax = plt.subplots(figsize=(10, 8))
601
+ sns.barplot(data=fi, x='Importance', y='Feature Name', ax=ax)
602
+ ax.set_title('Top 10 Feature Importance (Random Forest Regressor)', fontsize=18)
603
+ plot10_path = "static/rf_regressor.png"
604
+ plt.savefig(plot10_path)
605
+ img = PIL.Image.open(plot10_path)
606
+ response10 = format_text((generate_gemini_response(plot10_path)))
607
+
608
+ elif method == "Classification":
609
+ rf = RandomForestClassifier()
610
+ param_grid = {
611
+ 'max_depth': [3, 4, 5, 6],
612
+ 'random_state': [0, 42]
613
+ }
614
+ grid_search = GridSearchCV(rf, param_grid, cv=5)
615
+ grid_search.fit(X_train, y_train)
616
+ best_params = grid_search.best_params_
617
+ rf = RandomForestClassifier(**best_params)
618
+ rf.fit(X_train, y_train)
619
+
620
+ y_pred = rf.predict(X_test)
621
+ acc = metrics.accuracy_score(y_test, y_pred)
622
+ f1 = metrics.f1_score(y_test, y_pred, average='micro')
623
+ prec = metrics.precision_score(y_test, y_pred, average='micro')
624
+ recall = metrics.recall_score(y_test, y_pred, average='micro')
625
+
626
+ # Feature importance visualization
627
+ imp_df = pd.DataFrame({
628
+ "Feature Name": X_train.columns,
629
+ "Importance": rf.feature_importances_
630
+ })
631
+ fi = imp_df.sort_values(by="Importance", ascending=False).head(10)
632
+ fig, ax = plt.subplots(figsize=(10, 8))
633
+ sns.barplot(data=fi, x='Importance', y='Feature Name', ax=ax)
634
+ ax.set_title('Top 10 Feature Importance (Random Forest Classifier)', fontsize=18)
635
+ plot11_path = "static/rf_classifier.png"
636
+ plt.savefig(plot11_path)
637
+ img = PIL.Image.open(plot11_path)
638
+ response11 = format_text((generate_gemini_response(plot11_path)))
639
+
640
+
641
+
642
+ document_analyzed = True
643
+
644
+
645
+
646
+ data = {
647
+ "request": request,
648
+ "response1": response1,
649
+ "response2": response2,
650
+ "response5": response5,
651
+ "response7": response7,
652
+ "plot1_path": plot1_path,
653
+ "plot2_path": plot2_path,
654
+ "plot5_path": plot5_path,
655
+ "plot7_path": plot7_path,
656
+ "show_conversation": document_analyzed,
657
+ "question_responses": question_responses
658
+ }
659
+
660
+ # Conditionally include response3 and plot3_path if they exist
661
+ if response3:
662
+ data["response3"] = response3
663
+ if plot3_path:
664
+ data["plot3_path"] = plot3_path
665
+ if response4:
666
+ data["response4"] = response3
667
+ if plot4_path:
668
+ data["plot4_path"] = plot4_path
669
+ if response6:
670
+ data["response6"] = response6
671
+ if plot6_path:
672
+ data["plot6_path"] = plot6_path
673
+ if response8:
674
+ data["response8"] = response8
675
+ if plot8_path:
676
+ data["plot8_path"] = plot8_path
677
+ if response9:
678
+ data["response9"] = response9
679
+ if plot9_path:
680
+ data["plot9_path"] = plot9_path
681
+ if response10:
682
+ data["response10"] = response10
683
+ if plot10_path:
684
+ data["plot10_path"] = plot10_path
685
+ if response11:
686
+ data["response11"] = response11
687
+ if plot11_path:
688
+ data["plot11_path"] = plot11_path
689
+
690
+ return templates.TemplateResponse("upload.html", data)
691
+
692
+
693
+
694
+
695
+ # Route for asking questions
696
+ @app.post("/ask", response_class=HTMLResponse)
697
+ async def ask_question(request: Request, question: str = Form(...)):
698
+ global file_extension, question_responses, api
699
+ global plot1_path, plot2_path, plot3_path, plot4_path, plot5_path, plot6_path, plot7_path, plot8_path, plot9_path, plot10_path, plot11_path
700
+ global response1, response2, response3, response4, response5, response6, response7, response8, response9, response10, response11
701
+ global document_analyzed
702
+
703
+ # Check if a file has been uploaded
704
+ if not file_extension:
705
+ raise HTTPException(status_code=400, detail="No file has been uploaded yet.")
706
+
707
+ # Initialize the LLM model
708
+ llm = ChatGoogleGenerativeAI(model="gemini-1.5-flash-latest", google_api_key=api)
709
+
710
+ # Determine the file extension and select the appropriate loader
711
+ file_path = ''
712
+ loader = None
713
+
714
+ if file_extension.endswith('.csv'):
715
+ file_path = 'dataset.csv'
716
+ loader = UnstructuredCSVLoader(file_path, mode="elements")
717
+ elif file_extension.endswith('.xlsx'):
718
+ file_path = 'dataset.xlsx'
719
+ loader = UnstructuredExcelLoader(file_path, mode="elements")
720
+ else:
721
+ raise HTTPException(status_code=400, detail="Unsupported file format")
722
+
723
+ # Load and process the document
724
+ try:
725
+ docs = loader.load()
726
+ except Exception as e:
727
+ raise HTTPException(status_code=500, detail=f"Error loading document: {str(e)}")
728
+
729
+ # Combine document text
730
+ text = "\n".join([doc.page_content for doc in docs])
731
+ os.environ["GOOGLE_API_KEY"] = api
732
+
733
+ # Initialize embeddings and create FAISS vector store
734
+ embeddings = GoogleGenerativeAIEmbeddings(model="models/embedding-001")
735
+ text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
736
+ chunks = text_splitter.split_text(text)
737
+ document_search = FAISS.from_texts(chunks, embeddings)
738
+
739
+ # Generate query embedding and perform similarity search
740
+ query_embedding = embeddings.embed_query(question)
741
+ results = document_search.similarity_search_by_vector(query_embedding, k=3)
742
+
743
+ if results:
744
+ retrieved_texts = " ".join([result.page_content for result in results])
745
+
746
+ # Define the Summarize Chain for the question
747
+ latest_response = "" if not question_responses else question_responses[-1][1]
748
+ template1 = (
749
+ f"{question} Answer the question based on the following:\n\"{text}\"\n:" +
750
+ (f" Answer the Question with only 3 sentences. Latest conversation: {latest_response}" if latest_response else "")
751
+ )
752
+ prompt1 = PromptTemplate.from_template(template1)
753
+
754
+ # Initialize the LLMChain with the prompt
755
+ llm_chain1 = LLMChain(llm=llm, prompt=prompt1)
756
+
757
+ # Invoke the chain to get the summary
758
+ try:
759
+ response_chain = llm_chain1.invoke({"text": text})
760
+ summary1 = response_chain["text"]
761
+ except Exception as e:
762
+ raise HTTPException(status_code=500, detail=f"Error invoking LLMChain: {str(e)}")
763
+
764
+ # Generate embeddings for the summary
765
+ try:
766
+ summary_embedding = embeddings.embed_query(summary1)
767
+ document_search = FAISS.from_texts([summary1], embeddings)
768
+ except Exception as e:
769
+ raise HTTPException(status_code=500, detail=f"Error generating embeddings: {str(e)}")
770
+
771
+ # Perform a search on the FAISS vector database
772
+ try:
773
+ if document_search:
774
+ query_embedding = embeddings.embed_query(question)
775
+ results = document_search.similarity_search_by_vector(query_embedding, k=1)
776
+
777
+ if results:
778
+ current_response = format_text(results[0].page_content)
779
+ else:
780
+ current_response = "No matching document found in the database."
781
+ else:
782
+ current_response = "Vector database not initialized."
783
+ except Exception as e:
784
+ raise HTTPException(status_code=500, detail=f"Error during similarity search: {str(e)}")
785
+ else:
786
+ current_response = "No relevant results found."
787
+
788
+ # Append the question and response from FAISS search
789
+ current_question = f"You asked: {question}"
790
+ question_responses.append((current_question, current_response))
791
+
792
+ # Save all results to output_summary.json
793
+ save_to_json(question_responses)
794
+
795
+
796
+
797
+ data = {
798
+ "request": request,
799
+ "response1": response1,
800
+ "response2": response2,
801
+ "response5": response5,
802
+ "response7": response7,
803
+ "plot1_path": plot1_path,
804
+ "plot2_path": plot2_path,
805
+ "plot5_path": plot5_path,
806
+ "plot7_path": plot7_path,
807
+ "show_conversation": True,
808
+ "question_responses": question_responses
809
+ }
810
+
811
+ # Conditionally include response3 and plot3_path if they exist
812
+ if response3:
813
+ data["response3"] = response3
814
+ if plot3_path:
815
+ data["plot3_path"] = plot3_path
816
+ if response4:
817
+ data["response4"] = response3
818
+ if plot4_path:
819
+ data["plot4_path"] = plot4_path
820
+ if response6:
821
+ data["response6"] = response6
822
+ if plot6_path:
823
+ data["plot6_path"] = plot6_path
824
+ if response8:
825
+ data["response8"] = response8
826
+ if plot8_path:
827
+ data["plot8_path"] = plot8_path
828
+ if response9:
829
+ data["response9"] = response9
830
+ if plot9_path:
831
+ data["plot9_path"] = plot9_path
832
+ if response10:
833
+ data["response10"] = response10
834
+ if plot10_path:
835
+ data["plot10_path"] = plot10_path
836
+ if response11:
837
+ data["response11"] = response11
838
+ if plot11_path:
839
+ data["plot11_path"] = plot11_path
840
+
841
+ return templates.TemplateResponse("upload.html", data)
842
+
843
+
844
+
845
+ def save_to_json(question_responses):
846
+ outputs = {
847
+ "question_responses": question_responses
848
+ }
849
+ with open("output_summary.json", "w") as outfile:
850
+ json.dump(outputs, outfile)
851
+
852
+
853
+
854
+ if __name__ == "__main__":
855
+ import uvicorn
856
+ uvicorn.run(app, host="127.0.0.1", port=8000)