The Multi-Domain Price Estimator is a Flask-based web application that predicts prices for various domains, including cars, laptops, houses, and mobile phones. It utilizes machine learning algorithms such as scikit-learn, train-test split, linear regression, and gradient descent.
- Domain-Specific Prediction: Users can input relevant features (e.g., car model, laptop specifications, house details) to get accurate price estimates.
- User-Friendly Interface: The web app provides an intuitive interface for users to interact with the prediction model.
- Scalability: The project can easily accommodate additional domains or features.
- Clone the Repository:
git clone https://github.com/raufjatoi/multi-domain-price-estimator.git
- Install Dependencies:
pip install -r requirements.txt
- Run the App:
python app.py
- Access the App:
Open your web browser and navigate to
http://localhost:5000.
app.py: Main Flask application.templates/: HTML templates for different domains.static/: CSS and JavaScript files for styling.models/: Machine learning models (e.g., linear regression).data/: Sample data for training and testing.
Feel free to contribute by adding new domains, improving the UI, or enhancing the prediction models. Follow the guidelines in contribute.md.
- Inspired by open-source projects and the developer community.
This project is licensed under the MIT License. See LICENSE for details.
For any questions or feedback, reach out to me at raufpokemon00@gmail.com