Cervicare

Inspiration

Cervicare was inspired by helping bridge the gap between the hospital and the people as most people wait till it's too late for them to go the hospitals for check up.Cervicare also help make healthcare providers work easier hence increasing their reach.

What it does

Predicts a woman’s risk level using a machine learning model Offers a chatbot for health education and screening guidance Recommends nearby hospitals and facilities based on location and available services Enables appointment booking. Provides clinical decision support and inventory management tools for providers Stores screening history to ensure continuity of care

How we built it

Frontend:Html,Css and Js Backend: Spring Boot microservices for scalable, secure APIs AI Model: Trained a machine learning model using a cervical cancer risk dataset Chatbot Database: Mysql APIs:custom APIs for appointment and inventory modules

Challenges we ran into

Sourcing high-quality, open cervical cancer datasets for risk modeling Accesibility to hospital data and resources

Accomplishments that we're proud of

Successfully trained a risk prediction model Developed a functional clinician dashboard with decision support and inventory tracking Designed a chatbot that makes health information more accessible for both side users the healthcare provided and the other user.

What we learned

The importance of user-centered design in health tech, especially for women and providers and also the importance of cross-disciplinary collaboration

What's next for Cervicare

Field testing the platform in partnership with health facilities Expanding the dataset for improved accuracy of risk predictions Adding multilingual support and offline accessibility Launching mobile versions and SMS-based features for wider reach