The problem Pratibha HealthCare Web Application solves

Polycystic Ovarian Syndrome (PCOS) is very common, but it remains undiagnosed and unmanaged among most people. WHO estimates that PCOS has affected 116 million women worldwide in past years. These numbers are alarming & increasing day by day. Pratibha is a Healthcare Web Application to spread awareness about PCOS among women & provide a Community platform to interact with other women having PCOS.

1 This Web Application will provide a Self Test Analyser based on Machine Learning which takes the information and other steps are mentioned for PCOS Confirmation.
2 It also contains a ChatBot integrated using DialogFlow Google APl. The women can resolve their general queries regarding PCOS.
3 Every woman & doctor will have to register through Google Account. Patients will be directed to a personalized dashboard where the records of prescribed medicines, problems she is facing, lab reports & details of the last meeting with the doctors. The women can book the appointments online & can have meetings with the doctor via Video Calling from the dashboard. The doctors can enter his qualification details, hospital, working hours.
4 The doctors also have to register through Google Account. The doctors can enter his qualification details, hospital, working hours. The doctor’s dashboard contains the list of all the patients where they can prescribe them the medicines timely.
5 The app also contains a Community Building forum for connecting to other women and doctors in different parts of the World so that they can share their problems and help each other with the best exercises and eating habits.
6 A separate Food & Yoga is present to follow the healthy habits for curing PCOS. Since there is no complete cure and medicine for PCOS, so Food and Yoga are something that will help PCOS women.

So the App spreads awareness, improves health standards, promotes diversity & increases the self-esteem of the women who can feel much happier and independent with such an interactive portal.

Challenges we ran into

The foremost challenge was formulating the idea. We also face problems with which technologies should we use while making the project, which various sections we should include in our project. Other challenges we faced to decide which Machine Learning Algorithms we should use, from where to gather the dataset. This is a community based web solution that would result in huge data collection, so managing that much amount of data will be a challenging task as well. Also, in the future we think of adding Payment Gateway Integration so as to take this Application to a larger extent which can benefit the patients & doctors as well. Also, the woman has the right to check doctor's qualification & we will try to maintain the security of the woman in case any misbehaviour or nuisance occurs between the users and the doctors.