Sahyadri

Inspiration

One of the main reasons for the spread of Covid-19, has been the movement of people despite restrictions in place. But what if its for a noble cause, or an urgent requirement, stating the example of People who need to visit hospitals in times like this is an apt example for this. This was our ideation that we wanted to cater to via a tangible, reliable and robust application. We looked to solve it using a simple ML model and an Android Application that is Simple and Does its job

What it does

The App caters to a specific hospital, wherein the user can login to take an appointment with a real-time data of the present doctors and their free slots. On taking an appointment, The User is given a real-time analysis of his/her position in the queue, thus allowing him/her to take the required safety precautions as well as providing all this within the comforts of their home. In addition to this, we are also providing the hospital an extra layer of security, by ensuring that there is a QR Code Scanner on the app, that notifies the admin of the hospital regarding the entry, exit and whether a patient has entered the doctors room or not. We also have a ML Model that signifies a whole lot of concised information, wherein if the Patient enters certain symptoms or details of their illness, the Model replies with the Doctor they should consult, this also solves the problem of coming in contact with people that much.

How we built it

We built the backend using Node.js, the App using Android Studio, the ML Model was built using Flask and Python and hostedu using Ngrok, and the Design was curated and implemented using Flask

Challenges we ran into

There were many challenges we faced, right from the number of edge cases involved at each aspect of the procedure to enter the queue, we also faced a challenge with the implementation of the QR Code, wherein we had to input some data and also the ML Model wherein we had to look for A Proper Dataset catering to our problem, and we ended up curating a 6000 input dataset of our own.

Accomplishments that we're proud of

We feel like the ML Model is really unique and it solves a bunch of problems in one bit of code, right from ensuring less contact to giving prompt and concise feedback.

What we learned

We as a team over the last 4 days have learnt a lot from this hackathon not only through our product, but also our knowledge of the Tech Stack required has increased, additionally the input from the various speakers and tech talks helped in the cultivation of our idea.

What's next for Sahyadri

We will be looking to vocalize our product much more, to reach a larger audience. Also allowing access to people from remote villages in our country remains the main priority via language specific applications and feasible ways to access our app.