-
Login page
-
Input page progression
-
AI Generated Response to the data
Inspiration
Coming from a deeply multicultural background, our trio understands the impact of leading a fit lifestyle because of the challenge of coming from impoverished means. We saw the potential in creating a lifestyle tracker and integrated MongoDB along with React in order to fully convey our love for fitness.
What it does
It tracks fitness based on several metrics, including: heart rate, hydration, sleep, stress, step-count, caloric intake. It also implements TensorFlow in order to read the data that's being input, and generate the advice given by the AI Health Agent.
How we built it
We spent numerous work sessions brainstorming the best potential ideas for our web application.
Challenges we ran into
Workflow and version control.
Accomplishments that we're proud of
We managed to streamline the results collected on our web application, which was collated on MongoDB and streamlined to tensor flow in order to simultaneously generate results based on the user input.
What we learned
How to work on the fly and as a team in order to build a successful web application.
What's next for project
Waiting for Apple to purchase.
Log in or sign up for Devpost to join the conversation.