Major Projects
Project Title	:	VIRTUAL LABS
Project  Id	:	16CC-A1
Guide Details	:	Dr RAJANIKANTH ALUVALU
Associate Professor
Team Members	:	DANDALA ANJAN KUMAR REDDY ,DANDALA ANJAN KUMAR REDDY,GANGIDI SAI KIRAN REDDY,KADAVERGU ANUDEEP
Domain	:	Cloud / IoT
Abstract		In recent years, we have seen a significant number of new technological ideas appearing in literature discussing the future of education. For example, E-learning, cloud computing, social networking, virtual laboratories, virtual realities, virtual worlds, massive open online courses (MOOCs), and bring your own device (BYOD) are all new concepts of immersive and global education that have emerged in educational literature. One of the greatest challenges presented to e-learning solutions is the reproduction of the benefits of an educational institutions physical laboratory. For a university without a computing lab, to obtain hands-on IT training with software, operating systems, networks, servers, storage, and cloud computing similar to that which could be received on a university campus computing lab, it is necessary to use a combination of technological tools. In a college laboratory the main actions to be performed are looking up the schedule, executing the scheduled programs and then the evaluation process. In this project a virtual environment is created for each and every student thus he/she can login through their login credentials provided. In each and every city there is huge number of colleges and they are following the traditional method of laboratory process. Through this project we can make all the colleges digital. It is cost efficient where colleges can use it and integrate in their college platform. It increases the productivity as the various cloud computing algorithms are designed to perform certain operations. It reduce the paper work so all the colleges that can use this application to achieve the objectives of virtual labs.
 		
Project Title	:	WE CONNECT (maman.ga)
Project  Id	:	16CC-A2
Guide Details	:	Mr M A Ranjith Kumar
Assistant Professor
Team Members	:	G LAXMI PRASAD, KARRI SRI SATYA LOKESH, MUNUGOTI PAVAN KUMAR, PALADUGULA WIHAR
Domain	:	Cloud / IoT
Abstract		These days when we are posting some media (photo/video) on social media But we don’t know whom it is reaching even though private profiles are there. So to overcome this we need a social network where only we(people we trust or whom the data is to be shared) are present which can be customized according to one’s need.
Thus, we can use the application as we intended to use it without any restrictions.
 		
Project Title	:	SMART GATE : GATEWAY FOR SMART LIVING
Project  Id	:	16CC-A3
Guide Details	:	Mr Gouse Baig Mohammad
Assistant Professor
Team Members	:	KOMMINENI SAISIDDHARDHA, GOPIREDDY VINEEL REDDY, PASPUNOORI VINEETH,THOTA VIGNESH
Domain	:	Cloud / IoT
Abstract	:	The main purpose of the project is to manage the problems which are facing in the Community living areas. Generally, in Society all the work is decided through meetings and maintenance bills, contact no of members are recorded on the papers. There is no qualified model for the simplified experience so far. We are proposing a community cloud deployable model for addressing all kinds of needs, services and maintenance. People in the community can raise the maintenance complainants like supply of the water, plumbing, welding works, internet connectivity, electricity, carpentry, Air Conditioner, Water cooler, Refrigerator etc. More extensive services like availing workforce when required, booking the community halls, maintenance bill payments, Event Notifications and information regarding selling and renting the houses in the community. Vivid billing with detailed information, tracking the visitor moments with digital register backups. Apart from the regular usage users can conduct events in the community like pool parties, lady’s night, modelling, new year eve and they can advertise their events on the website. With this model, we can connect the entire community in fingertips for the better and beneficial social living within the cities.
 		
Project Title	:	SILAYIAI
Project  Id	:	16CC-A4
Guide Details	:	Dr Raman Dugyala
Professor
Team Members	:	BHUKYA SAIBHARGAVI, DEVARASETTY PRANAY, KASOJU BHARATH, PANTHAGANI TEJASWINI
Domain	:	Cloud / IoT
Abstract		People find it difficult to alter their clothes. Many fashion designers don’t alter their clothes. Tailor do this job. Tailors stay in our nearby lane but their location is not known to many people. So, this project provides online platform for tailors and customers to interact with each other. Cloud storage is being used to store the details of the tailors and customers.
This application provides the nearby tailor’s details along with the rating given to tailor. Customer can even contact tailor through chat box provided in our application. Tailors can login using their authentication details and can display their designs. The interested customers can contact the tailor and can interact with them.

 		
Project Title	:	CLOUD BASED HOSPITAL MANAGEMENT SYSTEM
Project  Id	:	16CC-A5
Guide Details	:	Ms S Laxmi Sunaina
Assistant Professor
Team Members	:	MIRGUDE SACHIN, MUTHYAPU SHIVA KUMAR, RUTHVIK REDDY KAWKUNTLA
Domain	:	Cloud / IoT
Abstract		Hospital needs an online system whereby it can accommodate the patients comfortably and avoid any confusion to the doctors regarding their work. There should be a system where the patients are categorized under insurance policy and non policy holders and the hospital management to claim the bills from concerned insurance company all these needs can be fulfilled by our project.
Proper maintenance of patient and doctor database and schedule appointments. Properly maintain details like rooms availability and in patients and outpatient details. And also to generate bills automatically at the time of discharge. So our platform ensures smooth operation of the hospital management tasks as well as offering facility to patient.

 		
Project Title	:	DISEP-DISEASE SEVERITY PREDICTOR
Project  Id	:	16DS-A6
Guide Details	:	Dr. K. Prabhakar
Assistant Professor
Team Members	:	BOJJI SREEHITHA, AKARAPU SAMYUKTHA, MADDHURI PARTHASARADHI, VINTHA HEMANTH REDDY
Domain	:	Data Science / IoT
Abstract		In today’s world we are on a express train to a cashless society. The most accepted payment mode is credit card for both online and offline, it provides a cashless shopping in all countries. It has became a more conventional way to do online shopping, paying bills etc. Hence the risk of fraud transactions has been increasing day-by-day. Implementation of efficient fraud detection system thus became important for all credit card issuing banks to minimize the losses. In real life, fraudulent transactions are intermixed with genuine transactions and simple pattern matching is not often sufficient to detect this problem accurately. There is a need of past history of transactions like credit card holders spending pattern from the previous transactional database, and other inputs like income, location, living expense etc can be compared with the current transaction details to detect credit card frauds, if there is deviation on transactions it indicates as fraud. To detect this fraud we are using various machine learning algorithms like k-nearest
neighbor, logistic regression etc classifiers to detect the fraud more accurately.
 		
Project Title	:	INIQUITY INTERPRETER
Project  Id	:	16DS-A7
Guide Details	:	Mr S Venu Gopal
Assistant Professor
Team Members	:	MINNAM REDDY NAIMISHA REDDY, KILARU SAI SUSHMITHA, MALLOJI RAJ DATTA MANOHAR, M PRAGNYA REDDY
Domain	:	Data Science / IoT
Abstract		Crime is one of the biggest and dominating problems in society. As the crime rate is increasing day by day, our major concern is to reduce the Crime rate to a possible extent. Our project can solve this problem by analyzing and evaluating previous datasets and thus preparing a report on crimes within different aspects such as region, backgrounds, etc. This project analyzes datasets that consist of numerous crimes and help police officers to patrol regions easily and also speed up the process of solving crimes.
 		
Project Title	:	DETECTING FRAUD SCAM WEBSITES
Project  Id	:	16DS-A8
Guide Details	:	Dr H Venkateswara Reddy
Professor
Team Members	:	MOHAMMAD AYESHA TASMEEM, DEVATH INDUMATHI, LENKAPOTHULA SANDEEP GOUD, MADIPADIGE ABHISHEK
Domain	:	Data Science / IoT
Abstract		There are number of users who purchase products online and make payment through various websites. Multiple websites ask the users to provide sensitive data such as username, password or credit card details etc. often for malicious reasons. In order to detect and predict fraud website, we proposed an intelligent, flexible and effective system that is based on using classification Data mining algorithm. To extract the data sets, we are implementing classification algorithms and techniques. The website can be detected based on some important characteristics
like URL and Domain Identity. Once user makes transaction through online, when he makes payment through the website our system will use data mining algorithm to detect whether the website is phishing website or not. This application can be used by many E-commerce enterprises in order to make the whole transaction process secure.
 		
Project Title	:	Optimize traffic flow using traffic signals
Project  Id	:	16DS-A9
Guide Details	:	Dr H Venkateswara Reddy
Professor
Team Members	:	GONGALLA HARIKA, SOMA RAKSHITHA, KANKANALA CHETAN RAJA, MALAPATI RAVI TEJA REDDY
Domain	:	Data Science / IoT
Abstract		The higher risk of passenger safety, loss of productivity, increase in fuel consumption, and pollution is all effects of urban traffic congestion. Efficient traffic management will reduce congestion, improve performance measurements for seamless traffic flow, and proficiently manage current roadway assets. Government organizations and administrative authorities are implementing coordinated traffic signals and variable messages to manage traffic network congestion. By implementing big data solutions, administrators can leverage historical trends, a combination of real-time information, and new-age algorithms to improve and traffic networks in urban areas. The growing focus on the development of intelligent network systems and the use of big data analytics will assist the traffic management and result in reduced congestions and roadblocks. The big data analytics by Quantizing helps service providers in the mobile services industry to analyze the efficiency of the current transportation system, estimate the transport models, and predict future network scenarios. These systems are designed to help reduce network congestion and act as alerts that notify traffic authorities of potential roadblocks.
 		
Project Title	:	ENTERTAINMENT TRENDS
Project  Id	:	16DS-A10
Guide Details	:	Mr K K Swamy
Assistant Professor
Team Members	:	AVULA PRUTHVI, THUMUKUNTLA GNANI PRASAD REDDY, BOYIKAR UDAYKIRAN, PRODDATURI SHANTHAN
Domain	:	Data Science / IoT
Abstract		This project is about analyzing the user generated data to give a clear understanding of a selected city preferences to the media moguls. The media industry has tremendous scope for growth in all the segments due to rising incomes and evolving lifestyles. The world of business is spreading all over the planet and it is very important for a city to accommodate the changes of the public interests and bring in the content that is being streamed more. In the process of analyzing the public interests we intelligently analyze and visualize various user interests in terms of music, movies. This analyzed data will help the media moguls to be established and accommodate the user interests.
 		
Project Title	:	EDU ANALYZER
Project  Id	:	16DS-A11
Guide Details	:	Mr K K Swamy
Assistant Professor
Team Members	:	GADDAM NIHARIKA, CHINTALACHERUVU SRAVANTH KUMAR, DANEPALLI VINAY, MACHARLA LIKITHA
Domain	:	Data Science / IoT
Abstract		There are considerable differences in the practices followed in public and private educational sector. Some of the considerable factors are equipment, labs, curriculum, student dropout rates, failure rates and success rates. Using this project, we can measure the impact of the factors on the outcomes of the educational sectors. This model is used to take necessary steps to improve and stabilize the educational aspects.
 		
Project Title	:	FACE DETECTION BASED ATTENDANCE SYSTEM FOR UNIVERSITY
Project  Id	:	16DS-A12
Guide Details	:	Ms S Shobarani
Assistant Professor
Team Members	:	DUDDU VAMSHI, GUDIPATI PRAVALLIKA, BANDARU SAKETH, KANCHARLA NITHESH
Domain	:	Data Science / IoT
Abstract		Maintaining the attendance is essential in every Foundation for checking the performance of students as well as employee. Each organization has its own technique. Traditionally student’s attendance is taken physically on attendance register or sheet, given by the professor in class. These stamping techniques are repetitive and tedious. Physically recorded participation can be effortlessly controlled. Besides, it is exceptionally hard to confirm one by one student in a substantial classroom environment with disseminated branches whether the verified students are really reacting or not.
Project Title	:	PREDICTIVE ANALYSIS FOR DETERMINING SAFETY OF A CITY
Project  Id	:	16DS-A13
Guide Details	:	S Shobarani
Assistant Professor
Team Members	:	TORPUNURI ROHIT SIMHA, ABHISHEK SRINIVAS SUNKARA, JETTY RAJIV CHANDRA, KATIPALLY VIGHNESHWAR REDDY
Domain	:	Data Science / IoT
Abstract		CT: Why do people feel safer in some cities than others? Is it a function of actual crime or of other factors that shape the way we perceive cities. There could be various factors responsible for calling a smart city as a safe city. In our point of view, analyzing data on such factors and predicting the safety and security of the cities would be a delightful solution for both migrants and immigrants. Our main focus is to intelligently analyze and visualize some of the constraints like crime rate, pollution, no of accidents in the city and psychology of the people. Using some of the techniques of data science and data mining we can thoroughly serialize and merge such data and present it to the people who are in a dilemma for transmigration.
 		
Project Title	:	AIR QUALITY PREDICTION
Project  Id	:	16DS-A14
Guide Details	:	Dr Y Vijay Bhaskar Reddy
Assistant Professor
Team Members	:	PONNAGANTI SAI BABU, RUDRA SATWIK, BAKKI SANKEERTH, MOHAMMAD AFROZ
Domain	:	Data Science / IoT
Abstract		Nowadays we can observe many parts of India are deadly affected with pollution. The harmful gases such as NO2 and SO2 content in the air have been increasing rapidly. This could be predicted with pollution sensors, although they can be expensive to deploy at scale. Our goal was to design a reliable and inexpensive air quality estimation solution, accessible to everyone through a web interface. In this project, we are going to analyze the dataset which consists of all the measured parameters and compared to the Air Quality Index (AQI). Based on the values in AQI the respective prediction is made on that particular city. Hence, people living in that city will understand the quality of the air they are breathing.
 		
Project Title	:	BS-Helper
Project  Id	:	16DS-A15
Guide Details	:	Dr Y Vijay Bhaskar Reddy
Assistant Professor
Team Members	:	NIDAMANURU SRAVANI CHOWDARY, GUMMADAVELLY SAIDEEP, PEDARAGALLA ASHOKA CHAKRAVARTHI
Domain	:	Data Science / IoT
Abstract		The platform BS-Helper reduces the work of maintaining the system and generates the report that provide details and suggestions for optimal use of available bike resources.
 		
Project Title	:	Generating Sales Document Report Using Hierarchical ALV
Project  Id	:	16SAP-A16
Guide Details	:	Ms T. Madhuri
Assistant Professor
Team Members	:	P KALYAN BHUSHAN, SHREYA SRIVASTAVA, E AKHILESH
Domain	:	SAP
Abstract		SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. The common desired features of any report are sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). SAP provides a set of ALV function modules, which can be put into use to embellish the output of report. This set of ALV functions is used to enhance the readability and functionality of any report output. Hierarchical ALV List is a way to display data in form of hierarchy. Hierarchical display is used for displaying data that are related, like sales order and item details. Here sales order details can be the header data whereas them items in the sales order can be the item data.
 		
Project Title	:	GENERATING CUSTOMER, PURCHASE AND MATERIAL REPORT USING CLASSICAL REPORTS
Project  Id	:	16SAP-A17
Guide Details	:	Dr K. Prabhakar
Assistant Professor
Team Members	:	THANUGULA PAVAN KUMAR, NUNE SRI HARSHINI PATEL, PATWARI ROHIT KUMAR
Domain	:	SAP
Abstract		The validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.
Project Title	:	POLLUTION MONITORING SYSTEM
Project Id	:	16CC-B1
Guide Details	:	Ms G. Madhavi
Assistant Professor
Team Members	:	LAGISHETTY VASAVI, KATTA NEEHARIKA, RAMAVATH SHIVA, ROYYA AJAY KUMAR, CHALLA AKHILA
Domain	:	Cloud / IoT
Abstract		Pollution affects our day to day activities and quality of life. It poses a threat to the ecosystem and the quality of life on the planet. People need to know the extent to which their activities affect the quality of atmosphere. This project proposes pollution monitoring system. It is used to monitor the pollution at multiple locations. The system was developed using the Iot software. The pollution monitoring system was designed to monitor and analyze quality of atmosphere in real-time. We take the data from the database which is stored in the cloud. We will update the data over the internet. We can take the data from the cloud for further analysis. The result was displayed on the designed hardware’s display interface and could be accessed via the cloud on any smart mobile device.
Project Title	:	AUTO-SCALING WORKLOADS BASED ON RESOURCE USAGE
Project Id	:	16CC-B2
Guide Details	:	Mr M A Ranjith Kumar
Assistant Professor
Team Members	:	POTHULAPATI TARUN REDDY, DEEKSHITULA SREETEJA, CHALLA MANASA REDDY, SHREYA DODLA
Domain	:	Cloud / IoT
Abstract		Most Applications that are deployed on the cloud are over provisioned causing unnecessary resource wastage. This is made to handle sudden spikes of traffic which can happen for both planned and un-planned scenarios. In this project, we provide an application agnostic way of scaling workloads based on a configured metric using kubernetes, which is a Cloud Native, Container Orchestration platform and Prometheus. A Time Series Database. Using Kubernetes, we configure Horizontal Pod Auto-Scaler, to scale the application based on the different metrics I.e CPU, Memory, Queue Length, etc which are stored in Prometheus. With relevant configuration, Kubernetes automatically adds more instances/scales the application when the load or resource utilization is high, causing user requests to not fail and also improve latency. As Load on the application decreases, Kubernetes also notices that and removes instances of the application that are not necessary, thereby improving resource usage, and decreasing over-provisioning. The system shown in the project with a sample application agnostic (any type of workload) and metric agnostic (any metric based on the workload).
Project Title	:	GOVERNMENT SERVICE BOT
Project Id	:	16CC-B3
Guide Details	:	Ms V Uma Maheswari
Assistant Professor
Team Members	:	GUMMADI PRIYANKA, TADAKAMALLA SHIVA KUMAR, RAMINI SANJANA, VEMPALLY NISHAR\
Domain	:	Cloud / IoT
Abstract		This project helps the people all over India to find suitable website or web service or other service regarding the government schemes, government websites, government services across India. Many people are unaware of government services and schemes. Even if they know about the schemes and services, they are not knowing about the exact procedure to avail the schemes and services of government. Unfortunately, there are a lot of other sites in the internet which misleads the people. There are so many phishing sites and duplicate sites in the internet today. The goal of this project is to give proper guidance to people from being targeted to duplicated and fishy websites and also to make their process easy. Our project provides a common interface which helps people in all the ways to avail the government scheme. We provide a bot (A chat bot which interact with humans),which will be available in all chat application like messenger, whatsapp, slack etc. So,we can direct them to proper solution with the help of our site and bot.
Project Title	:	HealthVault – A Smart healthcare platform
Project Id	:	16CC-B4
Guide Details	:	Mr Pallati Narsimhulu
Assistant Professor
Team Members	:	GANNEPAGA SRI DEVI, MOHD AZHAR, MD BURHANUDDIN SHAIKH, ALIMINETI RAKSHA REDDY
Domain	:	Cloud / IoT
Abstract		The goal behind developing a smart city is to improve the lives of its citizens and smart healthcare plays a significant role in achieving this objective. As per a report from Transparency Market Research, the global smart healthcare product market is expected to reach $57.85 billion by 2023. Health Vault is an independent cloud application which stores a patient’s medical records, prescriptions, diagnostic reports and vital’s history. A Patient’s medical history is a very sensitive information which only a patient should have control over and Health Vault empowers a patient to control his health data, he/she can choose who can view it and to what extent. Today multi specialty hospitals have their own application suite to store their patients record but the control of this sensitive and private data lies in the hands of the hospital. The patient can only access it, he/she cannot share the same health data directly through the application, hence there isa need for an independent platform which gives control of such personal and sensitive data in the hands of the user. Privacy. That’s Health Vault.
Project Title	:	DROWSY DRIVER ALERT SYSTEM
Project Id	:	16DS-B5
Guide Details	:	Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members	:	ANKATI PRAVALIKA, SHANKARPANDYAN BHAVANA, VEMULA SAI KRISHNA VAMSHI, CHADA RADHEESH REDDY
Domain	:	Data Science / IoT
Abstract		The main idea behind this project is to develop a detection system which can detect fatigue of any human and can issue a timely warning. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough. According to the expert’s studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. This system will monitor the driver eyes using a camera and by developing an algorithm we can detect symptoms of driver fatigue early enough to avoid the person from sleeping. So, this project will be helpful in detecting driver fatigue in advance and will give warning output in form of alarm. It will detect drowsiness of the driver and warn him before fall into sleep. It helps to prevent accidents that are caused by drivers who fell asleep while driving.
Project Title	:	SARAMSH
Project Id	:	16DS-B6
Guide Details	:	Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members	:	KURUGANTI CHIRANJEEVI KARTHIK, CHOPPARA NAGASATHVIK SURAM, GOGINENI SREERAM PRUDHVI, PAGIDI MUNTHALA VIVEK
Domain	:	Data Science / IoT
Abstract		Our project aims at developing an API which takes a text and generates a summary out of it. The tools that are required for the project are built from scratch to provide flexibility and customizability. Text summarization is achieved by extractive text summarization using TF-IDF. Where summaries are generated by identifying the important sections of original text and extracting them. This API could be used anywhere which promote operational efficiency. By using this API one could summarize huge chunks of text or emails or even a text file.
Project Title	:	HAND WRITTEN DIGIT RECOGNITION
Project Id	:	16DS-B7
Guide Details	:	Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members	:	AKARAM KIRAN MAI, ALISHALA NAVYA SRI, PILLI BILWAKSHI, KAYITHI SHIVAPRASAD REDDY, MURIMADUGULA SHIVA PRASAD
Domain	:	Data Science / IoT
Abstract		Neural networks and deep learning are two success stories in modern artificial intelligence. They’ve led to major advances in image recognition, automatic text generation, and even in self-driving cars. Handwriting recognition is one of the compelling and fascinating works because every individual in this world has their own style of writing. Sometimes it is not possible to recognize the digits written by the people. In real-time applications like bank check processing, number plate recognition. The capability of the computer is to recognize and identify and understand handwritten digits automatically. The accuracy and correctness are very crucial in handwritten digit recognition. Even small error may lead to inappropriate results in real-time applications. Handwritten digit recognition helps to provide the accurate results.
Project Title	:	Accident Alert System
Project Id	:	16DS-B8
Guide Details	:	Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members	:	NAMA ALEKHYA, V HEMANTH KUMAR, RAMANCHA MOHANAKRISHNA, KONTHAM BHARATH CHANDRA
Domain	:	Data Science / IoT
Abstract		The main aim of the project is, to analyze the road accidents in India and predict the accident-prone areas. This analysis helps the users to know about the accident-prone areas and can take preventive measures to avoid accidents. The application is developed in such a way that it locates the current position of the vehicle while traveling and then calculates the accident percentage in that area. If the current location is very prone to the accident then it alerts the user about the location so, the user can be safe while driving at those areas.
Project Title	:	PROCESS PIPELINE TO SOLVE EMPLOYEE ATTRITION AND THEIR JOB PERFORMANCE AND PREDICTION WITH AI
Project Id	:	16DS-B9
Guide Details	:	Mr. Mallu Praveen
Assistant Professor
Team Members	:	SALLA SHIVATEJA VAISHNAVA DEEPA YAMSANI, JAMMULA NITHYA SRI REDDY, CHAVAN NAVEEN
Domain	:	Data Science / IoT
Abstract		Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output generated when you train your machine learning algorithm with data.
Now a day’s data science predictions are used in IT industries, for the improvement in market investment, employee management etc. Retention of valuable employees within an organization has become an important issue as it is hard to find out the reasons that why employees are leaving an organization and keep them satisfied is a big challenge, for this a report is made to predict the retention of an employee in an organization using the python programming with data science methods.
The main idea of this report is to find out that which valuable employee will leave the company and the features which are affecting him/her to making this decision like salary level, no. of hours spending in week, promotion, no. of work accident etc. The application was developed in python programming and are made with the help of data science and machine learning models.
Project Title	:	SALARY PACKAGE PREDICTOR
Project Id	:	16DS-B10
Guide Details	:	Ms V Uma Maheswari
Assistant Professor
Team Members	:	POOJITHA D NAIDU, PADAKANTI SUDHEER KUMAR, V SAI TEJA, K M ANUDEEP YADAV
Domain	:	Data Science / IoT
Abstract	:	The main idea of the project is to develop a website which takes inputs(i. e dept, cgpa) as the testing data and predict the results, for training the data(i.e dept, cgpa, salary) we take previous years records and choose the best suitable algorithm(i.e the one which gives efficient accuracy) and train the model. The predicted results will be displayed on the screen with some suggestions in it. Finally the website will be hosted so that everyone can predict and prepare accordingly.
Project Title	:	GENERATING BON VOYAGE REPORTS USING STANDARD PACKAGE
Project Id	:	16SAP-B11
Guide Details	:	Mr Para Upendar
Assistant Professor
Team Members	:	PENDYALA SRI DIVYA, VUPPALA SOUMYA, HEMANTH KUMAR E, GUMMADI NISSY JOY
Domain	:	SAP
Abstract		Now-a-days, Due to increase in technology and demand of transport which also includes transport by air. Transport by air is mainly about flights, there are many airlines. Every airline has their own prices, timings, destinations, currencies, types, capacity, occupied seats etc. This report gives you complete details about different airlines and their features. This report gives detailed flight data in each and every aspect. The database is being maintained with the flight data and report is generated using standard packages for example SLIS and display in ALV form (ABAP List Viewer). SLIS is the type library for ALV grid and also contains many inbuilt modules. ALV gives us a standard List format and user interface to all our ABAP reports. ALV is created by a set of standard function modules provided by SAP. This also allows the user to sort the data in the report according to their priorities or requirements.
Project Title	:	Multiple reports using ALV
Project Id	:	16SAP-B12
Guide Details	:	Mr V N L N Murthy
Assistant Professor
Team Members	:	VELUMULA SURAJ KUMAR, KOLLIPARA DIVYA SREE, SEELAM NITHIN REDDY, DODDA SRI SAI BHARATH REDDY
Domain	:	SAP
Abstract		A SAP report is an executable program that reads data from the database and generates output based on the filter criteria selected by the end user. Execution of a SAP report almost never leads to an update of the database. The common desired features of any report are “column alignment”, sorting, filtering, subtotals, totals etc. To implement these from scratch, a lot of coding effort is to be put. To avoid that we can use a concept called ABAP List Viewer (ALV). List Viewer is a generic tool that outputs data in a table form (rows and columns), with integrated functions to manipulate output (sort, totals, filter, column order, hide, etc.) and export it (Excel, Crystal report, CSV files, etc.) Simple report has features of sorting and filtering only but this is used to generate a single report if you have to display more than one report on the output. Technically speaking if you have multiple internal tables with data to be displayed as separate blocks then we go for block report of ALV.
Project Title	:	GENERATING EMPLOYEE’S LEAVE SANCTION CERTIFICATE USING SAP
Project Id	:	16SAP-B13
Guide Details	:	Mr. Shrawan Kumar
Assistant Professor
Team Members	:	C SANKHYA REDDY, ALLADA MAYUKA, SAKINALA NAVEEN, KODIGANTI POOJA REDDY
Domain	:	SAP
Abstract		Usually the application of leave in education institutes and workplace is a long process. This refers to applying for leave through an email to the manager, waiting for them to respond and this process is inconvenient to both the manager and the applicant. To make this an easy process we suggest the generation of employee’s leave sanction certificate which lessens the burden. This includes generation of a pdf form that responds to the leave application. We propose that the generation of the Pdf form is done using SAP tools since it can be beneficial. The usage of the
pdf forms for sanctioning leave can save a lot of paperwork and makes it easier to apply for a leave
Project Title	:	GENERATE MATERIAL DOCUMENT REPORT USING INTERNAL TABLE EVENTS
Project Id	:	16SAP-B14
Guide Details	:	Mr Shrawan Kumar
Assistant Professor
Team Members	:	KUNDURU MADHAV REDDY, MARNENI KUSHAL RAO, GUJJARLAMUDI AJITH KUMAR, R S LOKESH
Domain	:	SAP
Abstract		Material documents in SAP are issued or generated from or received into inventory. The documents are created only by materials management in each firm and not by the end users. The material document review obtains the analysis and results from the firms data using the internal tables. The generation includes update and control field display and type of transaction. The logistics management can be formed using SAP easy access menu. We can generate material documents which involve issuing of goods and also the reference. The internal table events include AT START and AT END OF among other events that we implement. We use pre-defined and internal table events that we use to implement the generation of the material documents that use
Project Title	:	TO DO VERIFICATION AND VALIDATION ON SALES APPLICATION USING DYNPRO ABAP
Project Id	:	16SAP-B15
Guide Details	:	Mr. Shrawan Kumar
Assistant Professor
Team Members	:	GADDAM SIDDARTH REDDY, M PAVAN NAIK, CHANDA NAGENDRA RISHI RAJ, <PRESIDIO_ANONYMIZED_PERSON>
Domain	:	SAp
Abstract		He validation process represents the whole procedure ranging from the application’s registration to the final confirmation and verification process is the act of demonstrating that design outputs match design inputs. Web Dynpro is a standard SAP UI technology that allows you to develop web applications using graphical tools and development environment integrated with ABAP workbench. Using graphical tools reduces the implementation effort and you can better reuse and maintain components in ABAP workbench. Our project here deals with the validation and verification of a company’s sales application using SAP ABAP BDC (Batch Data Communication) and Module pool SAP ABAP.
Project Title	:	POLLUTION MONITORING SYSTEM
Project  Id	:	16CC-B1
Guide Details	:	Ms G. Madhavi
Assistant Professor
Team Members	:	LAGISHETTY VASAVI, KATTA NEEHARIKA, RAMAVATH SHIVA, ROYYA AJAY KUMAR, CHALLA AKHILA
Domain	:	Cloud / IoT
Abstract		Pollution affects our day to day activities and quality of life. It poses a threat to the ecosystem and the quality of life on the planet. People need to know the extent to which their activities affect the quality of atmosphere. This project proposes pollution monitoring system. It is used to monitor the pollution at multiple locations. The system was developed using the Iot software. The pollution monitoring system was designed to monitor and analyze quality of atmosphere in real-time. We take the data from the database which is stored in the cloud. We will update the data over the internet. We can take the data from the cloud for further analysis. The result was displayed on the designed hardware’s display interface and could be accessed via the cloud on any smart mobile device.
 		
Project Title	:	AUTO-SCALING WORKLOADS BASED ON RESOURCE USAGE
Project  Id	:	16CC-B2
Guide Details	:	Mr M A Ranjith Kumar
Assistant Professor
Team Members	:	POTHULAPATI TARUN REDDY, DEEKSHITULA SREETEJA, CHALLA MANASA REDDY, SHREYA DODLA
Domain	:	Cloud / IoT
Abstract		Most Applications that are deployed on the cloud are over provisioned causing unnecessary resource wastage. This is made to handle sudden spikes of traffic which can happen for both planned and un-planned scenarios. In this project, we provide an application agnostic way of scaling workloads based on a configured metric using kubernetes, which is a Cloud Native, Container Orchestration platform and Prometheus. A Time Series Database. Using Kubernetes, we configure Horizontal Pod Auto-Scaler, to scale the application based on the different metrics I.e CPU, Memory, Queue Length, etc which are stored in Prometheus. With relevant configuration, Kubernetes automatically adds more instances/scales the application when the load or resource utilization is high, causing user requests to not fail and also improve latency. As Load on the application decreases, Kubernetes also notices that and removes instances of the application that are not necessary, thereby improving resource usage, and decreasing over-provisioning. The system shown in the project with a sample application agnostic (any type of workload) and metric agnostic (any metric based on the workload).
 		
Project Title	:	GOVERNMENT SERVICE BOT
Project  Id	:	16CC-B3
Guide Details	:	Ms V Uma Maheswari
Assistant Professor
Team Members	:	GUMMADI PRIYANKA, TADAKAMALLA SHIVA KUMAR, RAMINI SANJANA, VEMPALLY NISHAR\
Domain	:	Cloud / IoT
Abstract		This project helps the people all over India to find suitable website or web service or other service regarding the government schemes, government websites, government services across India. Many people are unaware of government services and schemes. Even if they know about the schemes and services, they are not knowing about the exact procedure to avail the schemes and services of government. Unfortunately, there are a lot of other sites in the internet which misleads the people. There are so many phishing sites and duplicate sites in the internet today. The goal of this project is to give proper guidance to people from being targeted to duplicated and fishy websites and also to make their process easy. Our project provides a common interface which helps people in all the ways to avail the government scheme. We provide a bot (A chat bot which interact with humans),which will be available in all chat application like messenger, whatsapp, slack etc. So,we can direct them to proper solution with the help of our site and bot.
 		
Project Title	:	HealthVault – A Smart healthcare platform
Project  Id	:	16CC-B4
Guide Details	:	Mr Pallati Narsimhulu
Assistant Professor
Team Members	:	GANNEPAGA SRI DEVI, MOHD AZHAR, MD BURHANUDDIN SHAIKH, ALIMINETI RAKSHA REDDY
Domain	:	Cloud / IoT
Abstract		The goal behind developing a smart city is to improve the lives of its citizens and smart healthcare plays a significant role in achieving this objective. As per a report from Transparency Market Research, the global smart healthcare product market is expected to reach $57.85 billion by 2023. Health Vault is an independent cloud application which stores a patient’s medical records, prescriptions, diagnostic reports and vital’s history. A Patient’s medical history is a very sensitive information which only a patient should have control over and Health Vault empowers a patient to control his health data, he/she can choose who can view it and to what extent. Today multi specialty hospitals have their own application suite to store their patients record but the control of this sensitive and private data lies in the hands of the hospital. The patient can only access it, he/she cannot share the same health data directly through the application, hence there isa need for an independent platform which gives control of such personal and sensitive data in the hands of the user. Privacy. That’s Health Vault.
 		
Project Title	:	DROWSY DRIVER ALERT SYSTEM
Project  Id	:	16DS-B5
Guide Details	:	Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members	:	ANKATI PRAVALIKA, SHANKARPANDYAN BHAVANA, VEMULA SAI KRISHNA VAMSHI, CHADA RADHEESH REDDY
Domain	:	Data Science / IoT
Abstract		The main idea behind this project is to develop a detection system which can detect fatigue of any human and can issue a timely warning. Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough. According to the expert’s studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. This system will monitor the driver eyes using a camera and by developing an algorithm we can detect symptoms of driver fatigue early enough to avoid the person from sleeping. So, this project will be helpful in detecting driver fatigue in advance and will give warning output in form of alarm. It will detect drowsiness of the driver and warn him before fall into sleep. It helps to prevent accidents that are caused by drivers who fell asleep while driving.
 		
Project Title	:	SARAMSH
Project  Id	:	16DS-B6
Guide Details	:	Ms Tanukonda Jagadeeswari
Assistant Professor
Team Members	:	KURUGANTI CHIRANJEEVI KARTHIK, CHOPPARA NAGASATHVIK SURAM, GOGINENI SREERAM PRUDHVI, PAGIDI MUNTHALA VIVEK
Domain	:	Data Science / IoT
Abstract		Our project aims at developing an API which takes a text and generates a summary out of it. The tools that are required for the project are built from scratch to provide flexibility and customizability. Text summarization is achieved by extractive text summarization using TF-IDF. Where summaries are generated by identifying the important sections of original text and extracting them. This API could be used anywhere which promote operational efficiency. By using this API one could summarize huge chunks of text or emails or even a text file.
 		
Project Title	:	HAND WRITTEN DIGIT RECOGNITION
Project  Id	:	16DS-B7
Guide Details	:	Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members	:	AKARAM KIRAN MAI, ALISHALA NAVYA SRI, PILLI BILWAKSHI, KAYITHI SHIVAPRASAD REDDY, MURIMADUGULA SHIVA PRASAD
Domain	:	Data Science / IoT
Abstract		Neural networks and deep learning are two success stories in modern artificial intelligence. They’ve led to major advances in image recognition, automatic text generation, and even in self-driving cars. Handwriting recognition is one of the compelling and fascinating works because every individual in this world has their own style of writing. Sometimes it is not possible to recognize the digits written by the people. In real-time applications like bank check processing, number plate recognition. The capability of the computer is to recognize and identify and understand handwritten digits automatically. The accuracy and correctness are very crucial in handwritten digit recognition. Even small error may lead to inappropriate results in real-time applications. Handwritten digit recognition helps to provide the accurate results.
 		
Project Title	:	Accident Alert System
Project  Id	:	16DS-B8
Guide Details	:	Mr V Vijaya bhaskarareddy
Assistant Professor
Team Members	:	NAMA ALEKHYA, V HEMANTH KUMAR, RAMANCHA MOHANAKRISHNA, KONTHAM BHARATH CHANDRA
Domain	:	Data Science / IoT
Abstract		The main aim of the project is, to analyze the road accidents in India and predict the accident-prone areas. This analysis helps the users to know about the accident-prone areas and can take preventive measures to avoid accidents. The application is developed in such a way that it locates the current position of the vehicle while traveling and then calculates the accident percentage in that area. If the current location is very prone to the accident then it alerts the user about the location so, the user can be safe while driving at those areas.
 		
Project Title	:	PROCESS PIPELINE TO SOLVE EMPLOYEE ATTRITION AND THEIR JOB PERFORMANCE AND PREDICTION WITH AI
Project  Id	:	16DS-B9
Guide Details	:	Mr. Mallu Praveen
Assistant Professor
Team Members	:	SALLA SHIVATEJA VAISHNAVA DEEPA YAMSANI, JAMMULA NITHYA SRI REDDY, CHAVAN NAVEEN
Domain	:	Data Science / IoT
Abstract		Machine learning is a form of AI that enables a system to learn from data rather than through explicit programming. However, machine learning is not a simple process. As the algorithms ingest training data, it is then possible to produce more precise models based on that data. A machine learning model is the output generated when you train your machine learning algorithm with data.
Now a day’s data science predictions are used in IT industries, for the improvement in market investment, employee management etc. Retention of valuable employees within an organization has become an important issue as it is hard to find out the reasons that why employees are leaving an organization and keep them satisfied is a big challenge, for this a report is made to predict the retention of an employee in an organization using the python programming with data science methods.

The main idea of this report is to find out that which valuable employee will leave the company and the features which are affecting him/her to making this decision like salary level, no. of hours spending in week, promotion, no. of work accident etc. The application was developed in python programming and are made with the help of data science and machine learning models.

 		
Project Title	:	SALARY PACKAGE PREDICTOR
Project  Id	:	16DS-B10
Guide Details	:	Ms V Uma Maheswari
Assistant Professor
Team Members	:	POOJITHA D NAIDU, PADAKANTI SUDHEER KUMAR, V SAI TEJA, K M ANUDEEP YADAV
Domain	:	Data Science / IoT
Abstract	:	The main idea of the project is to develop a website which takes inputs(i. e dept, cgpa) as the testing data and predict the results, for training the data(i.e dept, cgpa, salary) we take previous years records and choose the best suitable algorithm(i.e the one which gives efficient accuracy) and train the model. The predicted results will be displayed on the screen with some suggestions in it. Finally the website will be hosted so that everyone can predict and prepare accordingly.
 		based on this level of difficult come up with a novel ideas for my cse major project