InsightHunter is a web application designed to help users find valuable stock research from Reddit's r/WallStreetBets using machine learning. This project aims to simplify stock market research by filtering and classifying posts based on stock growth and text data.
- Stock Research Classification: Utilizes supervised machine learning to filter out valuable posts.
- User-Friendly Interface: Simple and intuitive design for easy navigation.
- Firebase Integration: Backend powered by Firebase for real-time database functionality.
- HTML/CSS: Frontend structure and styling.
- Bootstrap: Responsive design and UI components.
- JavaScript: Client-side scripting for dynamic behavior.
- Firebase: Real-time database and authentication.
- Machine Learning: Supervised classification for post analysis.
To run this application locally, follow these steps:
- Clone the repository:
git clone https://github.com/YourUsername/InsightHunter.git - Open
index.htmlin your web browser.
Contributions are welcome! Feel free to fork this repository and submit pull requests to suggest improvements.
This project is licensed under the MIT License - see the LICENSE file for details.