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rehan-ml/README.md

About Me:

Hi, I'm Rehan

I'm a B.Tech Computer Science student passionate about Artificial Intelligence and Machine Learning.

Currently focused on NLP field specifically to build real-world AI systems.

Right now I'm learning more, improving my skills and building projects.

Always learning, building and exploring AI 🚀

💻 Tech Stack:

Python PyTorch Hugging Face TensorFlow Keras scikit-learn NumPy Pandas Matplotlib Git GitHub HTML5 CSS3 JavaScript Java C C++

🚀 AI / ML Projects

🔹 ScamShield - On-device AI
On-device AI Chrome extension that detects scam, phishing, and fake job/internship offers
Repo: https://github.com/rehan-ml/ScamShield

🔹 SkimLit – NLP Medical Abstract Classification
NLP model that classifies medical abstract sentences into structured sections.
Repo: https://github.com/rehan-ml/skimlit-nlp-classifier

🔹 FixMyLocal — AI-powered hyperlocal civic issue reporting
AI-powered hyperlocal civic issue reporting platform for India
Repo: https://github.com/rehan-ml/FixMyLocal

📚 Currently Learning

• Large Language Models (LLMs)

• Retrieval-Augmented Generation (RAG)

• Building real-world AI projects

🌐 Socials:

LinkedIn

📊 GitHub Stats:



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  1. ScamShield ScamShield Public

    On-device AI Chrome extension that detects scam, phishing, and fake job/internship offers — 100% local inference, nothing ever leaves your browser. Built for OSDHack 2026.

    JavaScript

  2. skimlit-nlp-classifier skimlit-nlp-classifier Public

    NLP model that classifies sentences in PubMed medical abstracts into rhetorical roles (Background, Objective, Methods, Results, Conclusions) using a Tribrid Embedding architecture — Token (USE) + C…

    Jupyter Notebook

  3. FixMyLocal FixMyLocal Public

    AI-powered hyperlocal civic issue reporting platform for India. Citizens report infrastructure problems (potholes, broken streetlights, water leaks) with photos; Gemini AI auto-categorizes, detects…

    JavaScript

  4. food-vision-101 food-vision-101 Public

    Image classification on 101 food categories using EfficientNetB2 + Transfer Learning in PyTorch. Achieves 87.20% accuracy, beating the DeepFood paper baseline by ~10 points.

    Jupyter Notebook