- Web application that uses a variety of data such as sleep quality, exercise time, and stress levels to predict the mood of an individual.
- Uses Python to perform PCA, relying on libraries such as Pandas, Numpy, MatPlotLib, and scikit-learn for data processing.
- The backend is built in PHP, using SQL queries to access a MySQL database, while the frontend uses plain HTML/CSS/JS.
- Built in a team of 3 within the span of 2 days as a submission for the Huawei Wellness Challenge.