Inspiration
There are many times in a day when a person's mood changes and we wanted to help such people tackle those mood swings and make them more happier. Especially, during this Covid surge, when people are frustrated from being unemployed, depressed from having Covid, stressed about family etc, this app can help them tackle that and make them happier than before. We wanted to make society a healthy and joyous place to live in.
What it does
MoodHancer depicts the mood of a user and based on the results, provides them various categories - games, music, videos, memes, and activities - to choose from. All these categories act like instagram in which there are tons of options to choose from. The idea behind this is for the user to spend some time on the app, for example, listen to music and become a little happy after a few minutes. The app also provides points based on how much the mood enhanced from the first time and these points can be redeemed for prizes.
How we built it
We built the mockup using adobe and iPhone toolkit. The prototype was built with the help of CSS, JavaScript, and Html all coded in Codepen.
Challenges we ran into
Thinking of a project and executing the code for the ai to predict the user's emotion was very challenging for our group. Initially our teamwork was
Accomplishments that we're proud of
One of the most significant accomplishments in this code was picking a topic to do. Our team had many ideas that didn't work out until we decided on a Mood Enhancer app that helps you with your emotions. We were able to come together and create an app that helps with your feelings by giving you quotes and tasks.
What we learned
We all learned about Machine Learning, JavaScript and Html
What's next for MoodHancer
Making the prototype into a final product and an app
Built With
- adobe
- css
- html
- javascript


Log in or sign up for Devpost to join the conversation.