Our Projects    

Project 001: The Sentient Journal

This journal application will allow users to log daily entries while using machine learning to analyze and track their emotions over time. By applying sentiment analysis, the app will identify the mood or tone of each entry, providing users with a visual representation of their emotional trends. Users will be able to explore how their feelings shift across days, weeks, or months, helping them gain insight into their mental and emotional well-being. The project combines a user-friendly React front-end with a robust Node.js and Express back-end, supported by a MongoDB database to store entries and emotional data securely.

Teams

  • Frontend

    Design and implement the user interface of The Sentient Journal application. Students will learn JavaScript and React and learn how to build applications from a Figma design.

  • Backend

    Work on the server and API for The Sentient Journal. Design and implement a NoSQL based database to store journal entries and users. Students will learn Node.js, Express, and MongoDB.

  • Machine Learning

    Become a part of the ML team that will create the sentiment analysis model to analyze journal entries for emotion. Will work with the backend team to incorporate the model with the journal.

Interested?

Fill out the interest form below to become a part of the project! No experience necessary, just a computer.