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Recommendation System: Content-Based Filtering

Project Overview

This project is a content-based recommendation system built using Python. It consists of the following components:

  • Frontend: Developed using Streamlit (located in app.py)
  • Dataset: The dataset used for the system (located in the data folder)
  • Requirements: List of required libraries (located in requirements.txt)

Getting Started

Installation

  1. Clone the repository:

    git clone https://github.com/ehsanahmadkhan525/movie-recommender-classic.git
cd movie-recommender

  2. Install the required libraries:

    pip install -r requirements.txt

Running the Application

  1. Start the Streamlit app: 
    streamlit run app.py