• Fork this repository
• Create a virtual environment on your local machine
• • In Linux

python3 -m venv (YOUR_VIRTUAL_ENV_NAME)

• • In Windows

python -m venv (YOUR_VIRTUAL_ENV_NAME)

• Activate your virtual environment
• • In Linux

source (YOUR_VIRTUAL_ENV_NAME)/bin/activate

• • In Windows

(YOUR_VIRTUAL_ENV_NAME)\Scripts\activate

• Install all the required libraries from requirements.txt file

pip install -r requirements.txt

• Run the recommender.py file
• • In Linux

python3 recommender.py

• • In Windows

python recommender.py

• Run the app.py file

streamlit run app.py

• A Streamlit-based application to recommend movies to the user.
• Content-based filtering has been used.
• Cosine similarity has been used to calculate the similarity between movies.

TMDB 5000 Movie Dataset has been used as our project dataset. This dataset contains information about movies such as cast, crews, genres, etc. The link for this dataset is here

• Email ID: [email protected]
• LinkedIn: https://www.linkedin.com/in/aaquib-asrar/