The Stock Market Prediction WebApp is a machine learning-powered web application that helps users predict future stock prices. It provides an interactive platform for investors to analyze trends and strategize their investments effectively.
- 📊 Stock Price Prediction: Uses ML models to forecast future stock prices.
- 📈 Data Visualization: Interactive charts and graphs for trend analysis.
- 🛠 User-Friendly Interface: Web-based UI for seamless user experience.
- 📡 Real-Time Data Fetching: Integrates live market data for accurate predictions.
- Machine Learning: Scikit-Learn, TensorFlow
- Backend: Python, API,Typescript
- Frontend: React.js/HTML/CSS
- Database: postgrace Supabase
- Hosting: planning to deploy on vercel after fixing some bugs
- Model Used: LSTM
- Training Data: Stock market historical data
- Libraries Used: Pandas, NumPy, Matplotlib, Scikit-Learn, TensorFlow/Keras
- Clone the repository:
git clone https://github.com/your-username/repository-name.git cd repository-name - Install dependencies:
pip install -r requirements.txt
- Run the application:
python app.py
- Open in browser:
http://localhost:5000
This project is licensed under the MIT License.
Feel free to submit a pull request or open an issue!
For any inquiries, reach out at richangchaudhary@gmail.com