Free deep-learning monitoring PWA for pets, babies, and elderly care. Real-time computer vision (TensorFlow.js COCO-SSD + Transformers.js ViT) runs entirely on-device, fully offline. Privacy-first.
Privacy-first real-time face mask detection in the browser using YOLO-Fastest, NCNN, C++, and WebAssembly.
Private, on-device AI meeting notetaker that runs entirely in your browser — live transcription, speaker ID, and note extraction with no audio leaving your machine (WebGPU + WASM).
Web component for removing image backgrounds in the browser
Cat & Dog Classifier is a browser-based machine learning application that classifies uploaded images as either cat or dog using a convolutional neural network. The project demonstrates how deep learning models can be integrated into a modern frontend stack using React, TypeScript, and TensorFlow.js, enabling real-time inference directly in the brow
AI-powered image upscaling and enhancement in the browser, built with React, TypeScript, and TensorFlow.js (ESRGAN & MAXIM models).
Privacy-first AI text detector — client-side LinearSVC inference, 11-signal diagnostics, sentence-level highlighting. No text leaves your browser.
LabML - ML in Your Browser: a Complete Machine Learning Lab With No Backend
Browser-based LLM stylometric fingerprinting
Neural Networks can learn (almost!) anything.
Real-time ASL word translator that runs entirely in the browser. Uses MediaPipe Hands for landmark tracking and a stacked LSTM model converted to TensorFlow.js for fully client-side inference — no video ever leaves the user's device.
Real-time monocular depth estimation from a live camera stream, running entirely in the browser. Depth Anything V2 Small on WebGPU via transformers.js, WebGL2 colour mapping, no server.
Optimize your requests for LLMs (ChatGPT, Claude, Gemini) and save up to 90% on API costs.
Browser-based audio similarity search — no server, no uploads, runs entirely in your browser.
YOLOv8 (custom SE-attention variant) banknote detection for 6 currencies, exported to ONNX and running fully client-side in the browser — no server.
Reproducible ONNX build for Pyodide with an end-to-end scikit-learn → skl2onnx → ONNX Runtime Web browser proof.
Enterprise-grade NLU bot trainer with 5-classifier stacking ensemble (171K params) — runs entirely in the browser
Browser-based brain MRI classifier (Next.js + ONNX Runtime Web) — 4-class deep learning inference running 100% client-side with no data upload
An AI-powered, vibe-aware location discovery app combining ML, LLMs, and Maps.
Browser-based neural network playground — build, train, and visualize ML models with no setup required
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