AI Tweet Detector is a project that leverages machine learning to detect and classify tweets based on their content. This project is built using the FARM stack (FastAPI, React, MongoDB) and integrates various AI models to analyze tweet data.
- Real-time Tweet Analysis: Analyze tweets in real-time for specific keywords or sentiments.
- Classification: Classify tweets into different categories such as spam, offensive, or informative.
- Dashboard: A user-friendly dashboard to visualize tweet data and analysis results.
- API Integration: Expose endpoints for external applications to utilize the tweet detection capabilities.
- FastAPI: For building the backend API.
- React: For building the frontend user interface.
- MongoDB: For storing tweet data and analysis results.
- Machine Learning Models: Various AI models for tweet classification and sentiment analysis.
To get started with the AI Tweet Detector, follow the instructions in the setup guide to install dependencies and run the application locally.
Contributions are welcome! Please read the contributing guidelines before submitting a pull request.
This project is licensed under the MIT License. See the LICENSE file for more details.