The problem PCOSmopolitan solves

PCOSmopolitan is a futuristic solution to combat the disparity amongst PCOS patients who have little or NIL information, the app does the early detection of PCOS with an efficient UI(early detection of PCOS with an accessible UX). It includes QnA with the patient in a form of a quiz to fulfill and predict the best med/Gynae. It uses machine learning to detect whether or not a user is prone to PCOS.

Challenges we ran into

While working on the project we came across many difficulties. First, we started off by building a flutter app but the model we had built was not compatible to be deployed on mobile phones. So, we had to switch to making a website. Initially, we were also using node.js in the backend but we had to switch to Flask as two of the members were well-versed with using it to deploy machine learning models made using scikit-learn. Since half of the people knew backend in python and the other half knew node.js, it was quite the learning curve for some of us. In the end, we all came together, helped each other with the smallest of things, and understood each other's weaknesses. We are proud to have completed the project at least considering the obstacles we had to face. It was an exhilarating experience.