Inspiration
We wanted to build a solution to a problem using our technical skills. After much thought, we decided to do something healthcare-related. Being college students who have just started working out, we faced a lot of troubles with our form and had to face a couple of injuries in the last two months. So we created an iOS app that checks your form and posture during specific exercises. We tried creating a game out of it by making a points system for people who work out the right way
What it does
We created an app that checks your form and posture during specific exercises. We have made a game out of it by creating a points system for people who work out the right way. For doing exercises with the right posture, users get rewarded with a specific number of points. They can share their scores with friends and compete for a spot on the leaderboard with other users of the app.
How we built it
We have used Swift on XCode to code this iOS app. We have used ML libraries and video datasets to build Action Classifier machine learning models
Challenges we ran into
Finding and creating an appropriate and efficient dataset to build our machine-learning models
Accomplishments that we're proud of
Creating and deploying a working machine-learning model
What we learned
Datasets are not very easy to find and creating and perfecting a machine-learning model for your purposes is taxing
What's next for FitQuest
Designing a smoother gaming experience, adding more exercises and personalized workout plans
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