ChillMate

Stress Management App for SFSU

ChillMate is a full-stack web application designed to support stress management and well-being for students and faculty at San Francisco State University (SFSU). The platform brings together multiple tools—reflection, organization, peer interaction, and AI-assisted guidance—into a single, accessible space.
The goal of the project is to make mental health resources easier to access in a familiar, low-pressure digital environment.

For full implementation details, documentation, and source code, please visit the GitHub repository:
https://github.com/GioJung97/chillmate

The application is publicly accessible at: https://chillmate-react.vercel.app/

Note: The chatbot feature is currently disabled in the public demo because it requires GPU-based model hosting, which is not available in the deployed environment.

Key Features

  • AI Chatbot (RAG-based):
    A conversational assistant designed to provide campus-aware guidance using SFSU-specific knowledge. ChillMate chatbot

  • Journal:
    A private space for users to write reflections and track emotional patterns. ChillMate journal

  • Profile:
    A personal dashboard that summarizes user details and includes a mood tracker. ChillMate profile

  • Forum:
    A community space for sharing experiences and peer support. ChillMate forum

  • Resources:
    Curated wellness and mindfulness content relevant to students. ChillMate resources

Tech Stack

Frontend

  • React
  • CSS
  • Deployed on Vercel

Backend & Data

  • Node.js
  • MongoDB

AI / Chatbot System

  • Open-source language model
  • Retrieval-Augmented Generation (RAG) pipeline
    • Retrieves SFSU-specific documents
    • Injects relevant context into the model’s prompt
    • Enables domain-grounded, context-aware responses

My Role – Scrum Master & Developer

I served as the Scrum Master for the team, coordinating sprint planning, stand-ups, and task distribution while ensuring smooth collaboration between frontend and backend development.

In addition to project coordination, I:

  • Contributed to feature integration and frontend–backend alignment
  • Helped design the chatbot system architecture
  • Assisted with deployment and debugging
  • Ensured the system met both functional and user-experience goals

Project Context

ChillMate was developed as part of a university team project. While the chatbot system was implemented and tested locally, persistent GPU hosting was not feasible within the project’s infrastructure constraints. As a result, the AI component is currently inactive in the live deployment, though it remains part of the system design.