FitTrack

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About FitTrack

Inspiration:
We were inspired to create FitTrack because we wanted a simple, all-in-one platform for tracking fitness goals and workouts. Many fitness apps either focus on social features or require expensive subscriptions, so we aimed to build a lightweight, personalized, and accessible solution for students and beginners alike.

What We Built:
FitTrack is a full-stack application that allows users to register, log workouts, and monitor progress. Our tech stack included:

Frontend: HTML, CSS, JavaScript, and React (optional)
Backend: Python Flask API
Data Sanitization: C
Database: MongoDB
Deployment: DigitalOcean

We also integrated Gemini, a generative AI API, to provide personalized fitness recommendations based on the user's logged activities. Gemini helps users get intelligent suggestions for workouts and goal tracking, making the app more interactive and insightful.

Challenges:
Some of the main challenges we faced included:

Connecting the frontend and backend: Ensuring React/HTML pages could reliably communicate with our Flask API, especially when deployed.
Database integration: Configuring MongoDB to work seamlessly with the backend in both development and production.
AI integration: Incorporating Gemini’s API required careful handling of input/output to generate meaningful, context-aware fitness advice.

What We Learned:

How to build a full-stack web application from scratch.
How to deploy services to DigitalOcean and manage environment variables securely.
How to integrate a generative AI API like Gemini into a real-world application.
Practical skills in debugging, API communication, and asynchronous JavaScript.

Summary:
FitTrack combines frontend interactivity, backend logic, database storage, and AI-powered insights to provide a complete fitness tracking solution. Through this hackathon, we learned not only how to build a full-stack project, but also how to collaborate effectively under time constraints and overcome deployment challenges.

Built With

Submitted to

HackPSU Fall 2025

Created by

I worked primarily on integration, working heavily with API calls between our front and backend and our backend and the Gemini AI agent that we used. Within this, I also developed a C function that preprocessed data to be sent to the AI agent, removing potentially harmful and unnecessary characters from the prompt and helping to substantially reduce the AI agent's response time. I also played a big role in determining and initializing my team's tech stack and its overall structure.

mkarounos4
Jeremiah Allu
patrickprus Prus
Aland Adili Adili