AI & Machine Learning student @ KEC Β· Full-stack developer
Exploring local AI, computer vision, and tools that turn information into something useful.
Selected work Β / Β Watch a demo Β / Β All repositories
I like connecting models to real interfaces: a voice you can interrupt, a rally you can replay, or an answer you can trace back to its source. My projects span speech, vision, retrieval, and the full-stack applications around them.
01 / Local Voice
A local voice companion for English, Hindi, and Hinglish. Speak naturally, see the answer stream in, and interrupt the reply with your voice.
Python Β· FastAPI Β· React Β· Whisper Β· Qwen Β· Kokoro
Watch the audible English + Hindi demo β
Open the silent workspace preview. Both speakers are audible in the full demo above.
02 / ShuttleSense
Local AI badminton video analysis: rally replay, shuttle tracking, body poses, heatmaps, and coaching reports grounded in the footage.
Python Β· Computer vision Β· Video analysis
03 / ReelToReal
Turn saved short videos into an Obsidian-compatible local knowledge vault, with timestamped notes, speech recognition, visual understanding, and hybrid retrieval.
TypeScript Β· Whisper Β· Moondream Β· Qdrant Β· RAG
The green cells show real contribution levels. The moving line is decorative; this is a periodically refreshed snapshot, not live telemetry.
Watch the contribution snake
Generated from my GitHub calendar with Platane/snk. Animations stop when your device requests reduced motion.
Read the activity log and open its repositories β
Public development events refresh every six hours; GitHub's feed can be delayed.
| Project | What it explores |
|---|---|
| Chemistry Tutor | PDF retrieval and local answers with source citations |
| Manufacturing Quality Predictor | An ML prediction system with a FastAPI backend and React dashboard |
| AQI Model | Satellite-based air-quality prediction and leave-city-out validation |
| Student Attendance System | A campus attendance and registration application |
How this profile is animated
GitHub displays this README because its public repository matches my username. The header, project illustrations, calendar, activity, and footer are SVG images with CSS animations. They respect reduced-motion preferences and keep their text visible without animation. The linked product preview is a GIF captured from the real application.
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