Wrapture lets you go from a Python-trained model to deployable JavaScript with a single command. It generates TypeScript bindings and a Web/Node-compatible wrapper, using WebGPU/WASM-ready ONNX runtimes.

This project is a Smart Traffic Monitoring System designed to monitor and evaluate real-time traffic congestion in urban areas using traffic surveillance cameras

Wrapture lets you go from a Python-trained model to deployable JavaScript with a single command. It generates TypeScript bindings and a Web/Node-compatible wrapper, using WebGPU/WASM-ready ONNX runtimes.

Optimized Whisper speech-to-text with advanced model compression (LZMA/ZSTD), local serving, and persistent browser caching. Achieves 69% size reduction with 4-bit quantization.

🎓 Showcasing Project, in 2024 Google Machine Learning Bootcamp - 🏆🤖 Award-Factory: Awards lovingly crafted for you by a hilariously talented generative AI! #Google #Gemma:2b #fine-tuning #quantization

Running the Multimodal AI Chat App with Ollama using a locally loaded model

Running the Multimodal AI Chat App with LM Studio using a locally loaded model

A web application for the quantization of colors in images.

Color quantization and dithering in TypeScript.