Web LLM Assistant is a lightweight open-source framework that transforms your browser into an AI inference platform. It leverages WebGPU and WebAssembly backends to run LLMs directly on client devices without servers, ensuring privacy and offline capability. Users can import and switch between models such as LLaMA, Vicuna, and Alpaca, chat with the assistant, and see streaming responses. The modular React-based UI supports themes, conversation history, system prompts, and plugin-like extensions for custom behaviors. Developers can customize the interface, integrate external APIs, and fine-tune prompts. Deployment only requires hosting static files; no backend servers are needed. Web LLM Assistant democratizes AI by enabling high-performance local inference in any modern web browser.

Cashblack A.F.R.O.B.O.T is designed to enhance the online shopping experience by directing consumers towards Black-owned businesses. By using AI algorithms, it tracks user shopping habits and suggests alternatives that promote Black-owned brands. This initiative not only supports diverse business ownership but also rewards customers with cashback on their purchases. Perfect for conscious consumers, this extension seamlessly integrates into your browser to provide a tailored shopping experience that fosters community support and economic empowerment.