This project aims to predict the price of laptops based on various features using machine learning techniques. It provides a user-friendly interface built with Python and Streamlit for easy interaction.
- Predicts the price of laptops based on input features such as RAM, Processor, Graphics Card, Storage, etc.
- Interactive user interface powered by Streamlit for a seamless experience.
- Utilizes machine learning models to make accurate predictions.
To run this project locally, follow these steps:
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Clone this repository: git clone https://github.com/sushan4/LapTrends.git
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Navigate to the project directory: cd laptop-price-prediction
After completing the installation steps, run the following command to start the Streamlit app: streamlit run app.py
This will launch the web application in your default browser, where you can interact with the laptop price prediction interface.
Contributions are welcome! If you have any ideas, enhancements, or bug fixes, feel free to open an issue or submit a pull request.