Sensei AI offers real-time assistance for live interviews by providing instant answers tailored to your job role, resume, and personal stories. The platform uses advanced AI to understand the interviewer's questions, delivering contextually relevant responses in less than a second. With seamless integration into various video conferencing platforms and features like real-time speech recognition, personalized answers, and robust privacy, Sensei AI ensures that you can focus entirely on your interview without any awkward pauses.

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.