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fitsync

FitSync

Team Information:

Team Number: 5

Team Members: Dana Hensle, Nishitha Madhu, Salwa Shuman, Silvia Yu

💡 Project Overview

Inspiration

Most fitness apps are designed with cisgender male bodies in mind, often overlooking the impact of menstrual cycles on fitness routines. Many people with periods are unaware that working out around their cycle can boost energy levels, improve body recovery, reduce PMS symptoms, and balance hormones. Our mission is to bridge this gap by creating a fitness platform that educates and empowers users with cycle-aware workout plans tailored to their body's natural rhythm.

Impact of the Solution

FitSync is a platform designed to create optimal workout plans tailored to an individual's menstrual cycle. It ensures users receive workouts that support their body's changing needs throughout the cycle, improving both physical and mental well-being.

Key Features:
    Cycle-Based Workout Plans: Align workouts with menstrual phases for optimal results.

    Personalized Fitness Guidance: Adaptable routines based on user input and activity levels.

    User-Friendly Interface: Clean, intuitive UI for seamless navigation.

    Future Expansion: Plans to integrate machine learning to analyze user preferences and cycle data for more refined and intelligent workout recommendations.

Tech Stack Used:

Frontend: React.js, CSS, Bootstrap

Backend: Flask ( Python )

Database: MongoDB

UI/UX: Figma, Canva

📎 Submission Links:

Video Demo: [Link to demo video]

GitHub Repository: https://github.com/silviasyu/FitSync

⚠ Additional Information

Challenges Faced:

This was the first hackathon for many of our team members.

Most of the team members are MS Align students with non-CS backgrounds, requiring extra effort to learn and implement technical solutions.

Integrating the frontend and backend smoothly within a limited time frame.

Future Scope:

Expanding the dataset to improve ML model accuracy and recommendations.

Adding integration with wearable fitness trackers for real-time workout adjustments.

Developing a mobile application for a more accessible user experience.

Incorporating AI-driven chat support to provide fitness and health insights.

Creating a community forum where users can share experiences and support each other

AI Tool Disclosure:

We used ChatGPT for:

    Generating boilerplate code

    Debugging assistance

    Setting up the framework

Presentation Link:

https://www.canva.com/design/DAGijv_Q72M/nXXZ8qHIGzCpDCfbUEt99g/edit?utm_content=DAGijv_Q72M&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton

Mobile application prototype link: https://www.figma.com/proto/5WlBSEwQ9MsX1wAykTIEz9/Untitled?node-id=0-1&t=tv4lLtJHOd2ruCVd-1

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