We researched and found out that our lifestyle plays a colossal role in our mental health. Enjoying life, Physical exercises, Yoga, Food, Music, and even the content you consume plays a hefty role in how you feel in your life; in the long run, it decides your mental state, success, and happiness in a relationship. As long as these elements maintain that sweet spot in your lifestyle, you might never even face any mental health issues and if you are facing some already, they will help you to come out of it quickly.
We built you a buddy or a girlfriend/boyfriend (only if you are single XD) which will always be present for you, right in your mobile. Someone who won't judge you, rather just show you the coolest things on Earth (and maybe Neptune as well; could get too cold), someone that will teach you good habits like exercising, eating a healthy diet and laughing. But whatever it does, it will be selflessly present to improve the quality of your life. ?
Yes, you'll find some apps on Playstore and Appstore that try to solve this problem, but they are not able to fully accomplish it. Either they are too dull to be of any help in cheering up the user or they are so monotonous that the user has do download several of them.
Our app makes use of Machine Learning to make all the selections for you according to your mood just like your best friend does :) This app also provides an all in one experience by not just telling you what to do but also how to do it, because it works on the power of databases from verified sources.
Features :
Know your stats ? -
Number of steps
Water consumption
Sleep calculator
A workout that works ? -
Breathing exercises
Stretching exercises
Yoga
Gym
Get rewards for completing workout goals.
Stay hungry Stay foolish ? -
Food recommendation
What did you consume? (calorie consumption meter)
Food tips
Fun Zone ? -
Games
Music
Memes
Stories
Videos
We faced the challenge of achieving the maximum accuracy in our mood detector and therefore get the dynamic content according to the mood. We were trying to find a Machine Learning solution that can help us do this and thus decided to use a pre-trained TensorFlow Light.
Technologies used
Discussion