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krishkavin7512/README.md
A terminal session: an AI agent ships 'kavin', a training run converges to 92.2% validation accuracy, and prints a model card. Kavin Krish Vijay: applied ML × full-stack, B.Tech CSE at SRM IST '28, Chennai, open to internships. Vibe-coded speed. Engineered depth.

01 / shipped

RainCheck: parametric income insurance for India's food-delivery riders. Guidewire DEVTrails 2026, phase 2 shipped. I built the Flutter rider app. WSF: AI women's safety framework with risk zones, safe routing and automatic SOS. I rebuilt location tracking and unified the Supabase schema.

ISL Recognition: real-time Indian Sign Language recognition, 92.2% validation accuracy on 296 signs. Solo build: model, API and UI. Pro-Techt: service-center portal with warranty tracking, OCR and barcode capture, chat and SLA analytics. Vibe-coded with Lovable and Supabase.


02 / stack

Languages: Python, TypeScript, JavaScript, Dart. ML and CV: TensorFlow, scikit-learn, XGBoost, MediaPipe, OpenCV, pandas, NumPy. Backend: FastAPI, Flask, Express, Celery, Redis. Frontend: React, Next.js, Vite, Tailwind, Framer Motion. Mobile: Flutter, Firebase, Mapbox. Data and infra: Supabase, MongoDB, SQLite, Docker, Vercel, GitHub Actions. Vibe stack: Claude Code, Cursor, Antigravity, Gemini CLI, Codex, Copilot, Lovable.

03 / telemetry

Live GitHub stats: contributions over the last year, streaks, weekly activity and top languages.

A snake eating my contribution graph.

04 / connect

git commit -m "let's build something real" — 1 team changed, 1 engineer inserted(+)

Email krishkavin7512@gmail.com LinkedIn Portfolio

plain-text version

Kavin Krish Vijay: applied ML × full-stack engineer, B.Tech CSE at SRM IST ('28), Chennai. Vibe-coded speed, engineered depth: I ship with AI agents, then I read every line they write.

  • RainCheck (repo): parametric income insurance for food-delivery riders, Guidewire DEVTrails 2026. I built the Flutter rider app.
  • WSF (repo): AI women's safety framework with risk zones, safe routing and auto-SOS. I rebuilt location tracking and unified the Supabase schema.
  • ISL Recognition (repo): real-time Indian Sign Language recognition, 92.2% val accuracy on 296 signs. Solo build.
  • Pro-Techt (repo): service-center portal with warranty tracking, OCR + barcode capture and SLA analytics.

Open to internships · krishkavin7512@gmail.com · LinkedIn · Portfolio

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  1. Indian-Sign-Language-Detection-System Indian-Sign-Language-Detection-System Public

    🤟 Real-time Indian Sign Language (ISL) recognition web app — MediaPipe + LSTM + Transformer | Alphabets, Numbers, Words & Sentences | React + FastAPI + TensorFlow

    Python

  2. Pro-Techt Pro-Techt Public

    Forked from GoutamAdityan/PRO-TECHT

    🛠️ Centralized warranty & service management platform — Product tracking, Service tickets & Smart notifications | React + Supabase (PostgreSQL + Auth + Storage)

    TypeScript