Springs

ML Habit Tracking App

About Project
Springs' machine learning and web engineers developed an ML-based mobile app for Android and iOS created to help people to fight their bad habits by tracking everyday progress.

This is a calendar-based diary where users can input details about their efforts to get rid of the chosen habit.
Client's goal
The main idea of the application is to provide people with a helpful remedy on their way to a healthier and more successful being.

The client really wanted to create an app that will help people to fight such bad habits as smoking, drinking, etc., and make it using just a mobile phone on an everyday basis.
About Project
Springs' machine learning and web engineers developed an ML-based mobile app for Android and iOS created to help people to fight their bad habits by tracking everyday progress.

This is a calendar-based diary where users can input details about their efforts to get rid of the chosen habit.
Client's goal
The main idea of the application is to provide people with a helpful remedy on their way to a healthier and more successful being.

The client really wanted to create an app that will help people to fight such bad habits as smoking, drinking, etc., and make it using just a mobile phone on an everyday basis.
Product
The product is a mobile cross-platform application developed using React Native technology. It comes with a reward system that provides different badges for achievements and is managed along with the following feature by an admin panel.

To make the app more efficient it was integrated a custom ML algorithm. It allows predicting % of the risk of setbacks for the next 3 days. The model works not only with victory/setback data but also with more deep specifics like what the user feels at the moment and the level of urgency.
Result
The mobile application gains its audience thanks to the possibility of not only monitoring but also staying aware and preventing possible difficulties during the fight againgt bad habits.
Just take a look

Mobile

Technologies
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01React Native
02Redux
03Python
04Django