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