AI Health Care

A platform where patients can monitor their progress with advanced AI features, along with medicine tracking. Get personalized one-to-one attention by health professionals till complete recovery.

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Inspiration ⚡

Post-discharge care plays an important role in medical treatments but they are mostly neglected as neither the doctor nor the hospital staffs keep proper track of the patient after they get discharged. Lack of communication and coordination with primary care physicians (PCPs) since no personnel can be brought to the patient's house and neither patient feels safe to go to the hospital in covid scenarios. These often lead to partial recovery of patients

What it does 🤖

This application brings you to the platform where most of the post-discharge care is being taken care of. Features that can improve the patient's outcome, including better-informed diagnostics, optimal treatment planning, care cost optimization, post-discharge care, are being given through our platform. Apart from regular features it also comes with AI motion tracking which measures the daily progress of patients' physical activities and the treatment through which they are going.

How we built it 😎

By using the MERN stack we have created the website. MERN stands for MongoDB, Express, React, and Node.

  • FRONTEND: React
  • BACKEND: Node, Express
  • DATABASE: MongoDB
  • API USED: RazorPay Payment API

Exercise Tracker ML part is developed with :

  • Flask: for creating a web exercise platform
  • OpenCV: for webcam feed and preprocessing
  • media pipe: ML model

Challenges we ran into 🤓

Connecting ML with development was a bit challenging. It was a bit difficult for sending a request to our ML model by node server and getting the response and sending it back to the client. We watched some youtube videos and docs to accomplish this.

Accomplishments that we're proud of 🔥

Being able to make a full-fledged application along with a pretty accurate ML model in such a short time was a great accomplishment for us. Also, the application is focused on today's healthcare issues so it will really be beneficial for all the patients to get post-discharge care digitally and effectively without even being in physical contact with any health professionals. Also, this would benefit the health professionals as it would decrease their effort with much effectiveness.

What we learned 😎

Security is the major problem when it comes to the healthcare sector, but it is seldom achieved. So we have made our application completely secure and safe for all the users by Providing Data privacy and by generating unique auth tokens using JWT. We learned how to create an onboarding screen, proper navigation, and integrate the ML model. Also, we learned how to manage the state in React ie the interaction with the application.

What's next for AI Health Care ⚡

As of now, our application is targeted towards post-discharge care, but we want to expand it and include all other features to make it a one-stop solution for all medical needs, starting right from booking appointments to virtual meets with health professionals and finally providing e-pharmacy services.

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