A sleek and interactive Movie Recommender System built with Python and Streamlit.
This app provides personalized movie recommendations based on content similarity, with an intuitive interface and visual movie posters
- 🖥 User-Friendly Interface – Clean and interactive web UI with Streamlit.
- 🎯 Customizable Recommendations – Choose how many movies you want (1–20) using a slider.
- ⚡ Instant Suggestions – Select a movie and instantly get similar recommendations.
- 🧩 Content-Based Filtering – Uses overview, genres, keywords, cast & crew for better accuracy.
- 🎞 Movie Posters – Displays official posters for each recommendation.
The recommendation engine uses content-based filtering:
- Data Preprocessing – Uses the TMDB 5000 Movies dataset, merging genres, keywords, overview, cast, and crew into a single tags column.
- Text Vectorization – Converts text into numerical vectors with CountVectorizer (Bag of Words).
- Similarity Calculation – Computes cosine similarity between movies.
- Generate Recommendations – When a movie is selected, the system finds the top N similar movies (N chosen by slider).
- Python 3.9+
- pip package manager
git clone https://github.com/your-username/Movie-recommender-system.git
cd movie-recommender-system
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2. Create & Activate Virtual Environment
On macOS/Linux:
python3 -m venv venv
source venv/bin/activate
On Windows:
python -m venv venv
.\venv\Scripts\activate
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3. Install Dependencies
pip install -r requirements.txt
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▶ Usage
Run the Streamlit app:
streamlit run app.py
App will open in browser → http://localhost:8501
Select your favorite movie 🎥
Adjust the slider for number of recommendations 🎚
Enjoy your personalized movie list! 🎉
Made with ❤️ By Shazim Javed