gAInify - AI Gamify Workout

gAInify
gAinify for Google

Inspiration

Our journey began with the idea of making fitness fun and engaging through gamification. We wanted to motivate individuals to stay active by turning workouts into an interactive experience.

What it does

gAInify leverages AI to gamify workouts, providing personalized challenges and rewards that keep users engaged and motivated. Users can track their progress, compete with friends, and earn rewards for achieving fitness milestones.

How we built it

We built gAInify using a combination of machine learning algorithms for personalized workout recommendations, a gamification framework for challenges and rewards, and a user-friendly mobile interface developed with React Native.

Challenges we ran into

Some challenges included ensuring the accuracy of the AI recommendations, balancing the game mechanics to keep users engaged without overwhelming them, and integrating social features for competition and collaboration.

Accomplishments that we're proud of

We successfully created a prototype that showcases personalized workout challenges and a reward system. We also received positive feedback from initial user testing, highlighting the fun and motivating aspects of the app.

What we learned

We learned the importance of user feedback in refining our features and the effectiveness of gamification in promoting consistent fitness habits. Additionally, we gained valuable insights into AI model training and user interface design.

What's next for gAInify - AI Gamify Workout

Moving forward, we plan to enhance our AI algorithms for even better personalization, introduce more social features for community engagement, and explore partnerships with fitness brands for additional rewards and challenges.

Built With

Submitted to

ShellHacks 2024

Created by

I worked on the front end with React Native. I learned a lot about navigators for routing between components, design of forms, useEffect and useState functions, context, consistent design, and making API calls with Axios. I also learned more about user experience and gym progression using AI assistance.

Marsel Fetlyaev
I worked mainly on the back end for this. I contributed the backend for the AI Assistant and also helped with other NodeJS files integral to the system, as well as helping organize the Firebase database.

Isaac Powell
I worked on the React Native front end. This is the first time I used React Native!

Linda Nguyen
I was responsible for creating API calls and ensuring seamless communication between the front-end and back-end, with accurate parameter exchange. I also set up and managed a NoSQL database using Firebase, and made contributions to various frontend files.

Ynot400 Lacsamana