The problem Sehat - A complete Healthcare Solution solves

Persons with disabilities need additional care and attention, especially when it comes to their health.
To Propose and execute innovative technologies that improve medical facilities and experiences for people with disabilities.
To Build platforms to make healthcare accessible physically and technologically for individuals with disabilities.
Availing proper care from hospitals can be costly and not always feasible. Robust tech-driven care at the home system can help in reducing the cost of care as well as solve the issue of approachability to a large extent. Sehat is a platform where you can check your general health which saves you money and time.
Home Sensor Activity Tracking, Diet and nutrition management, Fitness app(yoga), multiple medical tests, cognitive and brain health, etc are the main aspects of SEHAT.
By implementing new and innovative tech, Sehat reduces the cost of treatment. Sehat also saves time and is more convenient for the users.
Tech Stack:
We have included both Webapp and mobile applications.
We have implemented an android app with java and cloud Firestore as the database.
We have implemented Webapp with HTML, CSS, JavaScript for the front end and python for the backend.
We have also included a machine learning model for diabetes prediction using XGBoost, Decision tree, and linear regression.
We have used the Opencv module version 4.3.1 for the measurement of all vital Signs.
We have used the Rest API of newsapi.org using retrofit call.
Feature:

1. It gives us information about the vitamins and minerals consumed in a day by the amount of food taken in that particular day.

2. Chatbot, Book an appointment, Locating a hospital, pharmacy, etc are also available on Sehat.
   Easy monitoring and fully secured application with the applied technology.

3. Medical Test with the help of biometrics.

4. We have also provided a nonclinical fitness solution for every age group which includes multiple asanas of yoga with audio.

Challenges we ran into

As we all three are new to the world of Machine learning, we find it difficult to create a model but due to various mentors, friends, and youtube, we were able to develop 3 models in a limited amount of time which made us more excited to learn machine learning. At first, we thought we can't make a model in a stimulating amount of time but one of our team-mate Shreya was pretty confident that we can make it and we will make it. So, that courage and motivation have given the whole team to prepare 3 models and with the highest precision possible. We have gone through various youtube video lectures, ask our doubt mentors, friends, and finally made the models. No doubt, that within 2 days we learn to develop a basic model and that was a great learning for all three of us and it had ignited the spirit of participation in this hackathon.