🎬 Indian Movie Recommender System

Discover your next favorite movie with AI-powered recommendations! Built with Streamlit, Python, and Machine Learning, this interactive web app helps users find movies similar to their favorites based on content similarity.

🚀 Features

• AI-Powered Recommendations — Suggests top 5 similar movies using pre-trained similarity matrices.
• Interactive UI — Beautiful and responsive layout built with Streamlit and custom CSS.
• Poster Previews — Displays movie posters dynamically (or a fallback image if unavailable).
• Detailed Movie Info — Shows genre, year, and rating where available.
• Search Functionality — Easily search and filter movies from the dataset.
• Error Handling — Gracefully handles missing files or data issues.

🛠️ Tech Stack

• Frontend: Streamlit
• Backend: Python
• ML/Data: Pandas, Pickle (for loading data), NumPy (via similarity matrix)
• Other: PIL (for images), Requests

📸 ScreenShots

💡 How It Works

• The user selects or searches for a movie.

• The app finds the corresponding index in the similarity matrix.

• It computes similarity scores and fetches the top 5 similar movies.

• The results are displayed with posters and movie details in a responsive grid layout.

🚀 How to Run the App Locally

1. Clone the Repository:

   git clone https://github.com/JeetGupta2506/Movie-Recommendation-System
   cd Movie-Recommender-System

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run app.py