Chatalyze - Analysis of Chats

Chatalyze is a chat analysis application that generates a report containing statistics on messages and a word cloud for the most used words and word combinations in the chat.- used Django to create applications and PostgreSQL as a database
- used Celery and Redis on the back and JavaScript on the front to perform the analysis in the background mode and show the progress of its implementation, which allowed to improve the perception of the process by the user
- used the finished template based on the Bootstrap library, modifying it to the needs of the project
- used the ChartJS library to build graphics
- for parsing messages using the JSON library and regular expressions
Processing data using pandas and numpy
The application has fully covered the yunit with tests using the pytest.
The project was packed with the help of Docker and, using Docker Compose, set up everything necessary for the application to be quickly deployed on any server.Screenshots: Python, Django, PostgreSQL, Celery, Redis, Docker, Docker Compose, Git, Bootstrap, JavaScript.Project on GitHub: https://github.com/air17/Chatalyze