The problem EmoUp solves

Given the difficulty of the current times, it is now more important than ever to be able to talk about mental health. We wanted to make sure that everyone gets an opportunity to share details about how they are feeling, even if there isn't someone to listen, enjoy the music, get inspired and dive into a whole new world using AR. That's where our project comes in: EmoUp ^^

EmoUp is the one-stop-shop for all things positive. With COVID-19 affecting the mental health of people, especially teens and young adults, EmoUp’s objective is to improve the mental health of its users by boosting their confidence and decreasing the stress and anxiety levels that the users are experiencing during these hard times. EmoUp’s main feature is to integently get the person's emotion by recognising its face, where users can then further move to our emotion rebalancing center.

Here users got various choices like music therapy, inspiration therapy, expression therapy and video therapy. Based on emotion, we will play a music to get a cheerful mood back, inspiration therapy gives boost using famous inspirational quotes, in expression therapy users can write down their thoughts as a form of self-reflection and find reasons for gratitude in their daily life and finally in video therapy users can dive into whole new relaxing world created using echoAR.

Using EmoUp users can boost their mood at any time of the day in just a few seconds.

Challenges we ran into

Being new to a lot of things we faced certain issues while working on this hack, some of them are as follows->

1. Azure Cognitive API - When we were trying to implement cognitive api by using camera permission at the native level was a great hurdle, at times the device was not able to scan face properly as there was no direct available package in flutter for our purpose, with a lot of research over this we finally got a deprecated package, which was later upgraded by us. And hence EmoUp was born.

2. echoAR Integration - When it comes to echoAR we had absolutely no knowledge on how it works, we took out some time and got onto the web to explore echoAR and Unity, with nearly 5 hours of constant work we were able to understand AR concept, how model is made in unity, and exported further to echoAR. The implementation followed.