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  • Shiv Nadar University Chennai
  • 23:22 (UTC -12:00)

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deepuzz11/README.md

Hey, I'm Deepika 👋

Software Engineer · AI/ML · Cybersecurity · Full-Stack

I build systems that think, protect, and last - from AI-powered health tools to threat-detection pipelines to apps that untangle Indian government bureaucracy.

GitHub LinkedIn Email


About

B.Tech CSE grad from Shiv Nadar University, Chennai. I like taking a real problem - an athlete who can't afford a physio, a citizen lost in government paperwork, a network no one's watching closely enough — and shipping an end-to-end system for it: model, backend, frontend, the works.

Currently exploring voice AI, automotive RAG pipelines, and LLM fine-tuning.


Featured Projects

🏃 InjuryLens

AI-powered sports movement analysis & injury risk assessment

Upload a workout video, get a clinical-grade report: 6 biomechanical risk metrics, rep counting, fatigue detection, and an AI coaching plan generated from real pose-tracking data — not guesswork.

Python FastAPI React MediaPipe Gemini 2.0

Private repo

🇮🇳 Sarkaar Saathi

Your Government Friend - AI bureaucracy navigator

Ask about any Indian government process — FSSAI, GST, Udyam - in plain language, in 5 languages. Matches users to schemes they qualify for and tracks compliance deadlines before they're missed.

React TypeScript FastAPI MongoDB Gemini/Groq

Private repo

🩺 TriageXpert

AI-powered medical pre-screening platform

Analyzes user-reported symptoms against a personal health profile using ClinicalBERT + Gemini, and returns a structured urgency assessment - built with privacy-first, no-data-storage design.

Flask Gemini Pro ClinicalBERT spaCy

Private repo

🌿 Pantry Insight

Pantry management & recipe discovery, done properly

Tracks what's in your kitchen, flags what's about to expire, and turns your actual pantry into recipe suggestions via Claude/GPT - plus a real analytics dashboard on food waste.

Next.js 14 Firebase Claude API Edamam API

Private repo

🛡️ AI-Driven Log-Based Threat Detection

Hybrid Rule Engine + XGBoost network intrusion detection

A full NIDS: a self-learning rule engine catches known attacks in under 1ms, an XGBoost fallback handles the rest, and every verdict comes with SHAP-based explainability - not a black box.

XGBoost FastAPI React SHAP UNSW-NB15

Private repo

More in the works

40+ projects shipped across AI, security, and full-stack - computer vision, RAG, voice AI, and a few things I built just to see if I could. Happy to walk through any of them on request.


Toolbox

Languages Python Java C SQL JavaScript

AI / ML TensorFlow scikit-learn XGBoost OpenCV HuggingFace Pandas NumPy Matplotlib

Backend & Web Node.js Express.js FastAPI Flask Next.js REST APIs WebSocket

Frontend React HTML5 CSS3

Databases MySQL PostgreSQL MongoDB Firebase

Tools Git Postman Docker VS Code Jupyter


GitHub Stats



Open to SWE, backend, AI/ML, and security engineering roles — Chennai, India, open to remote.

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