BruxRelief uses patent-pending sensor technology and artificial intelligence to detect clenching and grinding behaviors from the temporalis muscle. Users can access detailed sleep analytics, track daily behaviors and symptoms, access digital wellness modules (video/audio), and active clenching/grinding sensor feedback for stress reduction to promote healthy living with bruxism.
Accomplishments:
· Built a full-fledged mobile app using React Native that is used today by patients and dentists across the world.
· Increased accuracy of bruxism detection by 70%, by integrating machine learning models using TensorFlow.
· Optimized Redux store writing/reading speeds by 30%, by using immutable lists instead of JavaScript arrays.
· Improved user experience by redesigning the app; reduced customer support emails by 40%.
Technologies used: React-Native, JavaScript, TypeScript, BLE, Firebase, AWS, TensorFlow, CodePush, ES11, Jest, ESLint, Redux, Redux-Saga