Inspiration
We surveyed some user feedbacks and realized that most of them are so engaged in their professional lives and they need an application that will help us take care of their lifestyle ie. diet, workout, and will help them stay stress-free.
What it does
Our app takes 23 user inputs and determines the user's work-life balance using our ML model. Now this score is used to determine the accurate meals which the user should take, and also a workout plan which will help the user stay healthy.
How we built it
First of all, we've used Figma to design the UI of the application. Then we used Flutter to create the application. And we've used the Support Vector Regression model on the Lifestyle and WellBeing dataset which is trained using 23 parameters including BMI, Daily Stress, Places Visited, Achievements, etc. We have cached the model for faster computation and deployed it using Heroku. We have also implemented user and admin authentication in our backend so as to make a dynamic interface for all the users. Admin can push the meals to our backend which can be retrieved by the application. Our API has certain routes via which we can send the score to the backend and retrieve the particular data packet as per the score.
Challenges we ran into
- To connect the python flask API with our node js backend.
- To define the range for the score according to the user considering it to be dynamic.
- Determining accurate diet and exercise plan using 23 parameters.
- Handling huge data packets retrieved from the backend to render it on the application.
- Handling dynamic data for each user maintaining the state of every user and handling the data traffic to the application so that it doesn't crash.
Accomplishments that we're proud of
Predicting the accurate work-life balance score of a user by taking a large amount of input.
What we learned
We've learned how to integrate different tech stacks with a short time constraint and work efficiently in a team .
What's next for NO EXCUSES
In the future, we're planning to add a Calorie Tracker, Flexible Meal System, and Activity Tracker using WearOS.
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