Laptop Price Predictor

Overview

This repository contains a Python machine learning model for predicting laptop prices. The model is deployed using a Flask server.

Features

The model takes into account various features of a laptop to predict its price. These features include but are not limited to:

• Brand
• Type of Processor
• RAM
• Screen Technology
• Operating System
• Graphics Card
• Weight

Installation & Setup

Follow these steps to get the project up and running on your local machine:

1. Clone the repository

   git clone https://github.com/RyanSilva2004/Laptop-Price-Predictor.git
   

2. Navigate to the project directory

   cd Laptop-Price-Predictor
   

3. Install the required Python packages

   pip install -r requirements.txt
   

4. Run the Flask server

   python app.py
   

Now, you should be able to access the application on your local machine at http://localhost:5000.

Usage

Once the server is running, you can input the features of the laptop for which you want to predict the price. The application will return the predicted price based on the trained machine learning model.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.