OMOU
Find songs, animes and podcasts based on your mood. CPEN 291 final project.
Introduction
Studies have shown that the feeling of loneliness can be more lethal than smoking 15 cigarettes per day. The COVID-19 pandemic has had a huge impact on the majority of the population, leading people to feel lonely, isolated and depressed; which can be hard to overcome. Our group has developed a web application to elevate the user’s mood based on a personal journal entry that our product takes as an input. This application utilizes Machine Learning models to predict the mood from a given text input. The web application will then be able to recommend anime, podcasts and music based on the user’s current mood.
Navigate Repository
Code for models and recommender systems can be found under '/Models'. The '/TrainedModel' folder contains the saved model states and datasets are listed in the '/Datasets' folder. The completed web application is in '/sentiment_recommender'.
