When we were searching for inspiration for our product, we thought about why the COVID-19 pandemic even began. The answer was simple- a poor public healthcare system. After more research we found out that governments and large tech company's are now investing millions of dollars to create a centralized healthcare system through telemedicine. However, these products would be available only to people with access to technology. In India, 70% of the population does not have access to smartphones and lives in rural areas without an effective healthcare system. Also, in India, there is only 1 doctor for 1200 patients in the public healthcare sector. This creates crowded hospitals where people suffering from various diseases crowd in a small hospital. As a result the doctor suffers from mental pressure and patients have to suffer by waiting in long lines. This project has allowed us to use tech for social good by improving accessibility in the healthcare industry.

What it does

The main product is a kiosk which will be on the user end. Since hospitals in rural areas are located far away from the patient's home, our idea is to place kiosks nearby to people's homes which will allow them to do self-administered checkups. This kiosk will have a camera and Arduino sensors installed which can measure a person's blood pressure, heart rate and fever since these are the primary indications of large-scale pandemics as well as deterioration of personal health. This information will be sent to the doctor at the hospital. The doctor has his own database where this information is stored and the patient's data can be digitized. The patient also has the opportunity to speak to the doctor via video chat and clear his doubts. This will reduce the amount of patients going to hospitals by 73% as these problems can be solved over video (WHO). This will reduce the number of people going to hospitals and make the system more administered. In the long run, this data can also be analyzed to predict any future pandemics.

How I built it

I build the application using Adobe xD and Adobe illustrator. This took several iterations as we wanted to make this product accessible to as many people as possible. We used a lot of icons that were universally understood to counter illiteracy. We used a san-serif font that could be read by people with dyslexia and used colours as set by the WCAG guidelines to make it accessible to people who were colour blind. Besides this, we used Google Translate API and Google Maps API to identify the language spoken in the user's area to provide information in their language. In terms of the backend, the application was build in flutter which connects to Firebase database which stores the patient’s information. To make the sensors, we used Grove temperature sensor V1.2 along with a Grove base shield to read the values from the sensor and display it on the screen. For the heart beat sensor, we used the XD-58C sensor.

Challenges I ran into

One of the biggest challenges we faced was to create an accessible interface that could be used by everyone. This took hours of research as we wanted to make the product aesthetically pleasing as well. We also faced a problem in using both firebase and flutter as this was our first time doing front-end development.

Accomplishments that I'm proud of

We are proud of thinking of a way to help a majority of the world's population, which often get's left out in the process fo technological advancement.

What I learned

Flutter, Google Firebase, Accessibility, Tech in Medicine

What's next for TeleHealth

We aim to propose our idea to the government. We also want to continue working on out product and include more sensors.

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