Assanali Bigali

A full-stack CRM platform for managing Telegram bot communication in real time. The system allows operators to receive and reply to Telegram messages through a modern web dashboard. The project also includes AI-powered auto-replies using OpenRouter, where incoming messages can be processed and answered automatically using configurable LLM models and prompts. Key Features: JWT authentication and protected API, Real-time messaging with WebSocket, Telegram webhook integration, AI auto-reply system with customizable prompts, Contact management and message history, Dockerized infrastructure for easy deployment. Tech Stack: Python, FastAPI, PostgreSQL, SQLAlchemy, React, TypeScript, TailwindCSS, Docker, WebSocket, Alembic, nginx.

A production-ready Retrieval-Augmented Generation (RAG) application that allows users to upload documents and chat with AI using their own knowledge base. The system processes PDF, DOCX, and TXT files, splits them into chunks, stores embeddings using pgvector, and retrieves relevant context for AI-generated answers. Key Features: JWT authentication, Document upload and processing, Vector embeddings with pgvector, Semantic search and AI chat, Persistent chat history, Configurable AI settings. Tech Stack: Python, FastAPI, PostgreSQL, pgvector, React, TypeScript, TailwindCSS, OpenAI API, Docker, SQLAlchemy, Alembic.