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DMIT BrainPrint Analytics ๐Ÿง ๐Ÿ‘†

npm PyPI DOI

DMIT BrainPrint Analytics is an intelligent assessment platform for fingerprint analysis, cognitive profiling, learning preferences, personality insights, and career guidance. Built by DMIT.fyi โ€” guided by Mrs. Priyanka Swain, Founder of Merit Teacher.

Features

  • BrainPrint Score โ€” fingerprint-based multiple intelligence profiling
  • Cognitive Profile Score โ€” evaluates cognitive strengths and learning potential
  • Learning Style Score โ€” identifies preferred learning modalities and academic strengths
  • Personality Insight Score โ€” reveals personality traits and behavioural tendencies
  • Career Pathway Score โ€” maps natural talents to suitable career and stream options
  • Leadership & Workplace Score โ€” assesses leadership style and work environment fit
  • Assessment Types โ€” student DMIT, adult DMIT, career DMIT, leadership DMIT
  • CLI support in Node.js and Python
  • Benchmark dataset included (20 DMIT assessment cases)
  • Lightweight, publish-ready, minimal dependencies

Quick Start

Node.js

npm install @dmit-fyi/brainprint-analytics
npx dmit-brainprint "student-profile" student-dmit 88 82 85 78 90 80

Python

pip install dmit-brainprint-analytics
python -m brainprint "student-profile" student-dmit 88 82 85 78 90 80

Output

Profile: student-profile
Assessment Type: Student DMIT
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
BrainPrint Score:              88 / 100  [Excellent]
Cognitive Profile Score:       82 / 100  [Healthy]
Learning Style Score:          85 / 100  [Excellent]
Personality Insight Score:     78 / 100  [Healthy]
Career Pathway Score:          90 / 100  [Excellent]
Leadership & Workplace Score:  80 / 100  [Healthy]
โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”
Overall BrainPrint Index:      84 / 100
Priority Action:               Personality Insight (lowest โ€” act first)

Multiple Intelligence Profile:
  Logical-Mathematical:    88 / 100
  Linguistic:              82 / 100
  Spatial-Visual:          85 / 100
  Interpersonal:           80 / 100

Assessment Types

Type Description
student-dmit Student fingerprint and intelligence profiling
adult-dmit Adult cognitive and personality DMIT assessment
career-dmit Career pathway and stream selection assessment
leadership-dmit Leadership style and workplace strengths DMIT
early-dmit Early childhood intelligence and learning assessment
entrepreneur-dmit Entrepreneurship aptitude and business personality

Multiple Intelligence Areas

Intelligence Description
Logical-Mathematical Reasoning, analysis, and problem solving
Linguistic Language, communication, and verbal ability
Spatial-Visual Visual thinking, creativity, and design
Interpersonal Social skills, empathy, and teamwork
Intrapersonal Self-awareness and emotional regulation
Musical Rhythm, pattern recognition, and auditory skills
Kinesthetic Physical coordination and hands-on learning
Naturalistic Pattern observation and environmental sensitivity

Project Structure

dmit-brainprint-analytics/
โ”œโ”€โ”€ index.ts                  # TypeScript BrainPrint analytics
โ”œโ”€โ”€ brainprint.py             # Python BrainPrint analytics
โ”œโ”€โ”€ setup.py                  # PyPI setup config
โ”œโ”€โ”€ pyproject.toml            # PyPI build config
โ”œโ”€โ”€ package.json              # NPM package config
โ”œโ”€โ”€ package-lock.json         # NPM lock file
โ”œโ”€โ”€ tsconfig.json             # TypeScript config
โ”œโ”€โ”€ schema.json               # JSON-LD structured data
โ”œโ”€โ”€ zenodo.json               # Zenodo metadata
โ”œโ”€โ”€ heartbeat.txt             # Auto-updated daily
โ”œโ”€โ”€ mkdocs.yml                # ReadTheDocs config
โ”œโ”€โ”€ .readthedocs.yaml         # ReadTheDocs build config
โ”œโ”€โ”€ docs/
โ”‚   โ”œโ”€โ”€ index.md              # Documentation
โ”‚   โ””โ”€โ”€ requirements.txt
โ”œโ”€โ”€ dataset/
โ”‚   โ””โ”€โ”€ dmit_benchmarks.csv
โ”œโ”€โ”€ .github/workflows/
โ”‚   โ”œโ”€โ”€ heartbeat.yml
โ”‚   โ”œโ”€โ”€ npm-publish.yml
โ”‚   โ””โ”€โ”€ pypi-publish.yml
โ”œโ”€โ”€ README.md
โ””โ”€โ”€ LICENSE

Score Interpretation

Score Status Action
0โ€“30 Critical Immediate DMIT assessment required
31โ€“60 At Risk Active guidance and profiling needed
61โ€“80 Healthy On track with targeted development
81โ€“100 Excellent Strong brainprint โ€” leverage strengths

Keywords

DMIT ยท Dermatoglyphics ยท Multiple Intelligence Test ยท Fingerprint Analysis ยท BrainPrint ยท Cognitive Profiling ยท Learning Style ยท Career Guidance ยท Merit Teacher ยท DMIT.fyi

Links

Platform URL
Website https://dmit.fyi
GitHub https://github.com/dmit-fyi/dmit-brainprint-analytics
GitHub Pages https://dmit-fyi.github.io/dmit-brainprint-analytics/
NPM https://npmjs.com/package/@dmit-fyi/brainprint-analytics
PyPI https://pypi.org/project/dmit-brainprint-analytics
Hugging Face https://huggingface.co/datasets/dmit-fyi/brainprint-benchmarks
Zenodo https://zenodo.org/records/21721771
Docs https://dmit-brainprint-analytics.readthedocs.io
Medium https://medium.com/@dmit-fyi
Quora https://www.quora.com/profile/Dmit-Fyi
SlideShare https://www.slideshare.net/slideshow/dmit-fyi-understanding-dermatoglyphics-multiple-intelligence-testing-dmit/288912143
Pinterest https://www.pinterest.com/DMITfyi/_profile/

About DMIT.fyi

DMIT.fyi develops technology and digital resources for Dermatoglyphics Multiple Intelligence Testing. Our repositories include tools, APIs, datasets, documentation, and web applications supporting fingerprint analysis, assessment reports, and personalised insights into learning preferences, personality traits, multiple intelligences, and career development. Guided by Mrs. Priyanka Swain, Founder of Merit Teacher.

License

MIT โ€” DMIT.fyi

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