Simple AI Agent

The Simple General-Purpose AI Agent is an intelligent conversational assistant designed to help users perform a wide range of everyday and technical tasks through natural language interaction. The application enables users to ask questions, solve mathematical problems, generate and explain code, summarize text, and receive clear, context-aware responses in a modern chat interface. The project is built using a React and TypeScript frontend with a Python (FastAPI) backend. The frontend provides a responsive and user-friendly chat experience, while the backend processes user requests, manages conversation flow, and communicates with a Large Language Model (LLM) to generate intelligent responses. The modular architecture makes the system easy to extend with additional features and AI providers. The agent is capable of handling general knowledge queries, programming assistance, technical explanations, and conversational interactions while maintaining context throughout the session. It also includes input validation, error handling, and a scalable client-server architecture that supports future enhancements such as weather information, document summarization, stock market insights, voice interaction, and external API integration. This project demonstrates how modern AI technologies can be integrated into a full-stack web application to create a practical, interactive, and user-friendly virtual assistant that improves productivity, learning, and problem-solving.