AUTA

A smart AI to facilitate effective studying, and a clean mind.
Click anywhere around here to go to our github

The Problem With Focusing

Many students have a hard time staying on task while working because they are easily distracted by different things around them.

Detecting Mental Health via Sentiment Analysis

We used Sentiment Analysis in a chat bot to track the users mental health and detect potentially dangerous thinks such as depression.

Our Focus Tracker

We used a CNN and trained a model with a dataset of around 10,000 images to not only detect focus, but also mood, which we then use to recommend related products and things to do.

About Auta

Auta was made by a team of 4 consisting of Kevin Chu, Kevin Rossel, Tyler Lafayette, and Zachary Wang. It was made at Los Altos hacks in under 24 hours. It uses react native for the frontend and java for the backend. Some tools we use in the backend are OpenCV and TensorFlow for detecting how focused someone is.

30,000+ lines of code

Auta's code base is large and extensive because of its robust backend and stunning frontend.

High Security

Given that our app does not store credentials or any other sensitive information, it is extremely secure.

Customizable

Auta has an extensive ammount of settings available for change.

Cross Platform

Auta was made in react native, meaning that it can easily be ported to other platforms, and still look stunning.

Get in touch

If you have any questions or want to commit to Auta beceause it is open source, below are some contacts.