During the pandemic, hospitals have become the epicenter for diseases and it is not recommended for people to go there for problems that can be solved at home easily. Also many medicines have side-effects that home remedies do not. Because many people are at home now they are stressed. Also, there is lack of exercise so they suffer for body aches and muscle strains which can be solved by exercising at home. We wanted to create a novel virtual health experience for the average person from the comfort of their own homes. We thought it would be a unique idea to have an all-in-one health and wellness application that could tend to all of your physical and mental health needs through home remedies and exercise routines and therefore created health@home.

What it does

It initially asks the user how they are feeling. If the user is happy is tells the user to continue having a great day. If the user is sad, it tries to change their mood with a good quote. If the user is feeling suicidal it gives the helpline number. If the user is sick, it identifies the problem and gives home remedies and exercise routines as a solution or if something is serious it asks the user to consult the doctor immediately. If the user is angry it asks the user to vent their anger out by popping the balloons which is a stress reliever.

How we built it

We made use of Kaggle to find the dataset that was used for populating the backend part of our web application, while we used JavaScript libraries and packages to help render the web application's frontend interface. We also used Scikit-Learn to help with data processing and building our ML models.

Challenges we ran into

Finding a data set to teach our AI was very difficult as their was no defined data set with outputs in the form of home remedies and exercises

Accomplishments that we're proud of

We were able to complete a prototype of what we thought of in the given time frame. Our application is very user friendly and anyone can easily understand it

What we learned

Throughout the course of this hackathon, we learned a lot about how to incorporate both backend and frontend frameworks and technologies to create a full-stack application. In the process, we learned how to integrate dynamic and static web application design components together to create a functional web interface. We also learned how to incorporate machine learning (ML) models into a web application.

What's next for Health@Home

In the future, we expect to update our application with more data for exercises and home remedies and more games to relieve stress and manage anger. Also a journal where everyday answers are recorded will be added and updates about sickness will be asked until it gets cured. Furthermore for the suicide, more contact information based on country will be added and SOS facility of emergency contacts of friends and family will be added too.

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