House Price Prediction Model

About

This project is a House Price Prediction Model that utilizes Python Flask for the backend and React for the frontend. The model leverages NumPy and Pandas for data processing and predictions. Users can input various features of a house to receive an estimated price.

Requirements

• Python
• Flask
• NumPy
• Pandas
• React

Installation

1. Clone the repository:

   git clone https://github.com/techcsispit/House-Price-Prediction

2. Navigate to the backend folder and install dependencies:

   cd backend
   pip install -r requirements.txt

3. Start the Flask server:

   python app.py

4. Navigate to the frontend folder and install dependencies:

   cd frontend
   npm install

5. Start the React app:

   npm start

Contributing

Contributions are welcome! Please follow these steps:

1. Creating an Issue: Before making any changes, create an issue explaining what you'd like to add or change and why
2. Fork the repository.
3. Create a new branch for your feature or bug fix.
4. Make your changes and commit them.
5. Push your changes to your forked repository.
6. Open a pull request detailing your changes.
7. Make sure you every pr has maximum of 5 files changes.
8. Make sure you also add .gitignore files while making commits.

Raising an Issue

If you encounter any bugs or have feature requests, please create an issue in the repository. Provide detailed information to assist in addressing the problem.