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Machine learning-based laptop price prediction server built with Flask, scikit-learn, and XGBoost. Includes REST API for model inference, feature preprocessing, and real-time price estimation for configurable hardware specs.

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LaptopPricePredictor_server

Backend for Laptop Price Predictor App

To run this application, please follow the steps given below.

For Windows Users:

  1. Navigate to the src directory of this project.
  2. Create a python virtual environment to prevent any dependency conflicts by running "python -m venv venv"
  3. Activate the virtual environment by "venv\Scripts\activate"
  4. Run "pip install -r requirements.txt"
  5. Run the main.py file using "python main.py"

For Mac Users:

  1. Navigate to the src directory in this project.
  2. Create a python virtual environment to prevent any dependency conflicts by running "python3 -m venv venv"
  3. Activate the virtual environment by "source venv/bin/activate"
  4. Run "pip install -r requirements.txt"
  5. Run the main.py file using "python3 main.py"

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Machine learning-based laptop price prediction server built with Flask, scikit-learn, and XGBoost. Includes REST API for model inference, feature preprocessing, and real-time price estimation for configurable hardware specs.

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