The problem GenAiCare solves

Revolutionizing Healthcare Accessibility: We are on a mission to transform how individuals access healthcare by leveraging technology and innovation.
Empowering Well-being Journeys: Our platform empowers individuals to take control of their health and well-being through comprehensive medical diagnostics and personalized care.
Comprehensive Healthcare Hub: We offer a seamless integration of advanced medical diagnostics, expert guidance, and collaborative healthcare resources.
Bridging Patients and Professionals: Our goal is to create a collaborative ecosystem where patients and healthcare professionals interact transparently and cooperatively.
Informed and Transparent Decisions: We believe in providing accurate and transparent information, enabling users to make informed decisions about their health.
Putting Individuals First: Our dedication to accuracy, empathy, and individualized care ensures that every user is at the center of their health narrative.
Empathy-Driven Innovation: We are committed to bringing empathy and innovation together to create a platform that truly understands and serves the needs of our users.

Challenges we ran into

While implementing the AI model,we faced the biggest problem yet :-Which type of models to use ,after a lot of testing and exporatory data analysis we were able to decide what to use.We saw how SVM was most accurate fro 2 model,linear regression for one of them and Binary Classification models.STreamlit also helped us a lot by simplifying the process of creating web-pages which Integrate our models properly.
The major challenges we faced was during frontend.
The react components became glitchy and so it was very difficult to attach the backend to the project.
The other problems were configuring Streamlit.Due to some unkown reason we couldnt run the models properly
But after a lot of time,we were able to set up a virtual environment and then use older version of python to correctly configure the files properly
Also as it was our first time using mongo Atlas,set up was very difficult.The connection was not being able to be made properly.After a lot of back and forth with mongoose and mongo client,we were able to make it work properly.

Enabling payments was also a hard part,we went through a lot of providers like Razorpay etc.The first obstacle was that they need 8 day for verification.After that we looked at diifernet providers and finaa=lly sellted upon Stripe.
Intigrating Stripe was also very difficult as the react was very difficult