Datasets:

chennai-academy
/

mind-profile-benchmarks

id int64 1 20	student_name stringlengths 9 15	grade_level stringclasses 3 values	student_profile_score int64 76 92	career_readiness_score int64 72 90	learning_style_score int64 80 90	psychometric_score int64 70 84	multiple_intelligence_score int64 80 96	stream_readiness_score int64 76 90	overall_mind_profile_index int64 76 89	priority_action stringclasses 2 values	engineering_score int64 84 100	medicine_score int64 72 90	business_score int64 84 99	arts_score int64 83 90	learning_type stringclasses 4 values	recommended_stream stringclasses 3 values	notes stringlengths 19 33
1	Arjun Sharma	Grade 12	88	85	84	80	92	86	86	Psychometric	97	85	95	87	Visual	Science	Strong STEM multiple intelligence
2	Priya Nair	Grade 11	82	78	90	76	84	80	82	Psychometric	88	78	88	90	Auditory	Arts	Linguistic intelligence dominant
3	Rahul Mehta	Grade 12	90	88	82	82	94	90	88	Learning Style	99	88	99	88	Reading	Science	Top logical-mathematical score
4	Sneha Patel	Grade 10	78	74	86	72	82	78	78	Psychometric	86	74	86	86	Kinesthetic	Commerce	Bodily-kinesthetic strength
5	Kiran Kumar	Grade 12	85	90	80	78	88	88	85	Psychometric	92	90	97	83	Visual	Science	Career ready medical profile
6	Meena Iyer	Grade 11	80	76	88	74	82	78	80	Psychometric	86	76	86	88	Auditory	Arts	Musical intelligence high
7	Vikram Singh	Grade 12	92	88	84	84	96	90	89	Learning Style	100	88	99	90	Reading	Science	Exceptional logical reasoning
8	Deepa Rao	Grade 10	76	72	82	70	80	76	76	Psychometric	84	72	84	84	Visual	Commerce	Spatial-visual strength
9	Aditya Joshi	Grade 12	88	86	86	82	90	88	87	Psychometric	95	86	97	85	Reading	Science	Engineering aptitude high
10	Riya Desai	Grade 11	80	78	90	74	84	80	81	Psychometric	88	78	88	90	Kinesthetic	Arts	Interpersonal intelligence peak
11	Suresh Pillai	Grade 12	86	84	82	80	90	86	85	Learning Style	95	84	95	85	Visual	Science	Strong STEM readiness
12	Ananya Krishnan	Grade 10	78	74	88	72	82	76	78	Psychometric	86	74	84	88	Auditory	Arts	Creative intelligence profile
13	Rohit Verma	Grade 12	90	88	84	84	94	90	88	Learning Style	99	88	99	88	Reading	Science	Top aptitude scores
14	Kavya Menon	Grade 11	76	74	86	72	80	76	77	Psychometric	84	74	84	86	Kinesthetic	Commerce	Practical learning style
15	Sanjay Nambiar	Grade 12	88	90	82	82	92	88	87	Psychometric	97	90	97	87	Visual	Science	Medicine career alignment
16	Pooja Sharma	Grade 11	84	80	88	78	88	82	83	Psychometric	92	80	90	88	Auditory	Arts	Strong interpersonal skills
17	Nikhil Raj	Grade 12	90	86	84	82	94	90	88	Learning Style	99	86	99	88	Reading	Science	JEE aptitude profile
18	Swati Pillai	Grade 10	78	76	86	72	82	78	79	Psychometric	86	76	86	86	Visual	Commerce	Business aptitude strong
19	Manoj Kumar	Grade 12	86	84	82	80	90	86	85	Psychometric	95	84	95	85	Reading	Science	NEET career alignment
20	Divya Krishnan	Grade 11	82	78	90	76	86	80	82	Psychometric	90	78	88	90	Auditory	Arts	Linguistic and musical strength

Chennai Academy Mind Profile AI Benchmarks

Benchmark dataset of 20 student mind profile cases with individual scores for student profile, career readiness, learning style, psychometric assessment, multiple intelligence, and stream readiness.

Built by Chennai.Academy — AI Powered Student Intelligence & Career Guidance Platform.

Dataset Description

This dataset contains benchmark data for an AI-powered educational intelligence platform helping students, parents, counsellors, and educational institutions understand cognitive profiles, learning behavior, personality, aptitude, interests, and career potential.

Columns

Column	Type	Description
id	integer	Case ID
student_name	string	Student profile name
grade_level	string	Current grade or education level
student_profile_score	integer	Student profile score (0-100)
career_readiness_score	integer	Career readiness score (0-100)
learning_style_score	integer	Learning style score (0-100)
psychometric_score	integer	Psychometric assessment score (0-100)
multiple_intelligence_score	integer	Multiple intelligence score (0-100)
stream_readiness_score	integer	Stream readiness score (0-100)
overall_mind_profile_index	integer	Overall mind profile index (0-100)
priority_action	string	Lowest scoring signal to act on first
engineering_score	integer	Engineering & Technology pathway score
medicine_score	integer	Medicine & Healthcare pathway score
business_score	integer	Business & Management pathway score
arts_score	integer	Arts & Humanities pathway score
learning_type	string	VARK learning type
recommended_stream	string	Recommended academic stream
notes	string	Assessment notes

Score Interpretation

Score	Status	Action
0-30	Critical	Immediate assessment and counselling required
31-60	At Risk	Active guidance and profiling needed
61-80	Healthy	On track with targeted development
81-100	Excellent	Strong profile — ready for career planning

Usage

import pandas as pd
df = pd.read_csv("mind_profile_benchmarks.csv")
print(df.head())

Citation

Chennai.Academy. (2026). Chennai Academy Mind Profile AI. Zenodo. https://doi.org/10.5281/zenodo.21728116

Links

Platform	URL
Website	https://chennai.academy
GitHub	https://github.com/chennai-academy/chennai-academy-mind-profile-ai
NPM	https://npmjs.com/package/@chennai-academy/mind-profile-ai
PyPI	https://pypi.org/project/chennai-academy-mind-profile-ai
Zenodo	https://doi.org/10.5281/zenodo.21728116
SlideShare	https://www.slideshare.net/slideshow/chennai-academy-personalized-student-intelligence-career-guidance-platform/288930342
Quora	https://www.quora.com/profile/Chennai-Academy-1
Medium	https://medium.com/@chennai_academy
Pinterest	https://www.pinterest.com/chennai_academy/_profile/

License

MIT — Chennai.Academy

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Total file size:

8.66 kB