Movie Recommendation System using h2o wave

The Movie Recommendation System is an application designed to suggest movies to users based on their preferences and viewing history. It employs collaborative filtering techniques to analyze user behavior and generate personalized recommendations.

screenrecord.mp4

Getting Started

1. Check the version of Python, must be Python 3.9+ but recommended to use Python 3.10+ for best experience

python3 --version

2. Clone the repository

git clone https://github.com/chamikasrimantha/h2o-wave-app.git

3. Create a virtual environment

python3 -m venv venv

4. Activate the virtual environment

Unix/ MacOS

source venv/bin/activate

Windows

.\venv\Scripts\activate

5. Install the packages

python3 -m pip install -U pip
python3 -m pip install -r requirements.txt

6. Run the application

wave run app

7. View the app:

Point your favorite web browser to http://localhost:10101/

Testing

Tests are located in test.py. See instructions on h2o wave docs to configure tests.

Others

h2o wave documentation