Chrome extension that classifies Sentry errors with in-browser ML. Trains locally, learns from your corrections, zero backend.

Browser-side RAG demo — runs embeddings entirely in the browser via transformers.js (@xenova), no backend. React + Vite + TypeScript.

Bilingual (English + Bangla) sentiment analysis platform that runs entirely in your browser. Features an explainable rule-based engine, real in-browser ML training (LR / NB / SVM) with confusion matrix and per-class F1, live visualizations, and an optional hardened LLM chat. Offline-first, built with React + TypeScript.

Real-time, in-browser facial expression reader with calibrated confidence, literature-grounded cognitive states, and FACS-grounded AI explanations.

Browser palm-crease segmentation: a 5.5M-param ONNX UNet that traces heart/head/life lines client-side. Live demo + full training pipeline.

Email-powered job application tracker — syncs Gmail & iCloud, classifies emails with ML, tracks your job search pipeline

Live in-browser ASL alphabet classifier (Next.js + ONNX Runtime Web) with honest cross-dataset accuracy reporting