👉 Ever feel inconvenient having to report your feeling to nowadays' mental health app on the market.
👉 Ever feel shy talking to your family/close friends about your stress but wish that they reach out to you.
👉 Ever been a stressful international student. You want to let your parents know your feelings but at the same time, you're afraid to speak up.

That's what I have been through and for the past 1 years, I have been searching for the optimal solution for this problem - solving mental health with the help of AI. I have looked at ambitious projects like NLP sentimental analysis với twitter post, emotion recognition with computer vision but none of them works for depressed people in real life. That's how now I

Introduce FitBeat Depresso.

A platform that helps predict and check your loved ones' mental health with Fitbit API.

The product will fetch user's health data from Fitbit, predict their mood score with Machine Learning, and finally update the score within the user's circle of closed friends. When someone gets trouble (stress, depression), the product will notify other users to reach out to the one in need.

1. FitBeat Depresso is more convenient with automatic syncing, mood score's preduction, and notification.
2. Our team at FitBeat Depresso aims to make a positive difference by creating a supporting community for young adults who might get stress in life.

• Carry out more researchs on detecting mood score based on sleep, calories burn, steps, heart rate to improve the model's accuracy.
• Develop a mobile version for FitBeat Depresso

Christopher Le
Ayana Griffin
Ian Perez
Kevin H. Luu

1. If you want to test the product at this moment, please use the link with Firefox private mode. We will improve the product to make it accessible on any web browsers

   a. Test email: [email protected] - test password: 1234567890

   b. Test invite friends: [email protected]

2. The server repo is set in private right now for privacy concern