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tusharbanga/README.md

TUSHAR BANGA

AI/ML Engineer • Computer Vision • Generative AI • Full-Stack AI Systems

Building production-ready AI applications using Machine Learning, Computer Vision, NLP, and Large Language Models.

About Me

Computer Engineering student at J.C. Bose University of Science & Technology, YMCA, passionate about Artificial Intelligence, Machine Learning, Computer Vision, and Generative AI.

I enjoy building end-to-end AI systems that combine machine learning models, computer vision pipelines, large language models, and modern web technologies. My work focuses on solving real-world problems through intelligent, scalable, and user-centric AI solutions.

Technical Skills

Programming Languages

Python • C++ • C • JavaScript • SQL

AI & Machine Learning

Machine Learning • Deep Learning • Computer Vision • Natural Language Processing • Generative AI • Large Language Models • Feature Engineering • Ensemble Learning

Frameworks & Libraries

Scikit-learn • OpenCV • YOLOv8 • Pandas • NumPy • Flask • FastAPI • React.js

Generative AI

LLaMA 3 • Prompt Engineering • Conversational AI • Groq API • LLM Integration

Cloud & Tools

Git • GitHub • Docker • Firebase • AWS • Vercel • Render • GitHub Actions

Core Computer Science

Data Structures & Algorithms • Object-Oriented Programming • DBMS • Operating Systems • Computer Networks

Featured Projects

AutiScan — AI-Powered ASD Detection & Therapy Platform

  • Developed a real-time behavioral analysis pipeline using YOLOv8 and Computer Vision.
  • Integrated LLaMA 3 through Groq API for conversational AI assistance.
  • Built a full-stack platform using Flask, React.js, and REST APIs.
  • Combined video analysis, NLP, and behavioral insights into a unified AI system.

Fake Job Detection System

  • Built an NLP-based fraud detection system for identifying fake job postings.
  • Applied TF-IDF vectorization and ensemble learning techniques.
  • Engineered fraud-detection features using textual and metadata analysis.
  • Deployed a web-based platform for real-time prediction and classification.

NavAssist — Smart Navigation Assistant for Visually Impaired Users

  • Developed a speech-to-intent machine learning pipeline.
  • Implemented voice-driven navigation and accessibility workflows.
  • Integrated Firebase authentication and cloud-based data storage.
  • Designed an assistive platform focused on real-world usability.

Mystery Maze

  • Developed an interactive fantasy adventure and puzzle-solving platform.
  • Implemented dynamic game progression, quests, and riddles.
  • Integrated Firebase authentication and leaderboard functionality.
  • Built a responsive and engaging browser-based gaming experience.

Leadership

Senior Coordinator — University Computer Centre & Digital Affairs

J.C. Bose University of Science & Technology, YMCA

  • Supporting digital infrastructure initiatives and technical operations.
  • Coordinating technology-focused projects and student engagement activities.

Member - Youth Red Cross

  • Contributed to community outreach, awareness campaigns, and volunteer activities.

Class Representative

  • Representing academic concerns and facilitating communication between students and faculty.

Education

Bachelor of Technology (B.Tech) — Computer Engineering

J.C. Bose University of Science & Technology, YMCA

2023 – 2027

CGPA: 8.82 / 10.0

Relevant Coursework:

Data Structures & Algorithms • Machine Learning • Intelligent Systems • Computer Vision • Data Mining • Computer Networks • Soft Computing

Current Focus

  • Computer Vision
  • Generative AI
  • Large Language Models
  • Healthcare AI
  • Accessibility Technologies
  • Full-Stack AI Systems
  • Production Machine Learning

Connect

Popular repositories Loading

  1. fake-job fake-job Public

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  2. AutiScan AutiScan Public

    Python

  3. mysterymaze mysterymaze Public

    HTML

  4. NavAssist NavAssist Public

    Python

  5. CarPool CarPool Public

    HTML

  6. tusharbanga tusharbanga Public