Smart AI bot on aiogram 3 with Docker containerization

Project Goal: Development of an asynchronous Backend solution for a Telegram bot capable of operating reliably 24/7 and handling a large number of requests.

Solution Description: A bot has been developed based on the latest aiogram 3.x library, which ensures maximum data processing speed. A State Machine (FSM) has been used to manage complex conversation scenarios. The bot is integrated with a database for reliable storage of applications (leads).

Key Technical Skills Demonstrated in the Project:

Python (aiogram 3): Writing asynchronous, clean code (visible in the screenshot).

Docker: The project is containerized, ensuring easy deployment on any server and stability of operation.

Database Integration: Designing the database structure for storing applications.

AI Integration (Optional): Demonstrated readiness for implementing OpenAI for intelligent processing of requests (the logic is visible in the handlers).

Result: The client received a reliable, scalable automation tool that is ready for real workloads. The bot has been successfully launched and is operational (logs are visible in the terminal in the screenshot).