Movie Recommendation System 🎬

A web-based Movie Recommendation System built with Python, Flask, and Machine Learning. The application suggests 5 similar movies based on your search, and fetches their official posters using the TMDB (The Movie Database) API.

Previews

Interface & Recommendations

Features

• Content-based filtering to recommend movies.
• Fetches real-time movie posters via the TMDB API.
• Clean and responsive web interface.

Setup Instructions

Follow these steps to run the project locally on your machine:

1. Clone the repository

git clone https://github.com/animesh68/tmdb5000.git
cd tmdb5000

2. Prepare the Data Models

Note: Due to GitHub's file size limits, the similarity.pkl file (which calculates the distance/similarity between movies) is not included in this repository.

• Make sure you have the movies.pkl and similarity.pkl files placed in the root of the project directory.

3. Add your TMDB API Key

Open recommender.py and replace "YOUR-API-KEY" with your actual API key from TMDB.

API_KEY = "your_actual_api_key_here"

4. Install Dependencies

You need to install the required Python libraries to run this app. Run the following command:

pip install flask pandas requests

5. Run the Application

Start the Flask server:

python app.py

Then, open your web browser and go to http://127.0.0.1:5000 to start searching for movies!