International Journal on Computational Science & Applications(IJCSA)

This paper presents CareBridge Health, an AI-powered mobile application designed to improve women'shealthcare access through symptom analysis and educational support [1]. The app integrates an intuitivebody mapping interface, GPT-4-based AI analysis architecture, and a curated educational database [2]. Itaddresses gaps in symptom recognition and health literacy among women. Two experiments with tenparticipants evaluated the app’s effectiveness. The usability experiment resulted in an average rating of 4.6out of 5 for ease of use, while the health education experiment achieved an average score of 2.7 out of 3 ina knowledge test. These results demonstrate the app's success in providing an intuitive and educationalexperience. The project builds upon previous mobile health and AI diagnostic research but uniquelytargets women’s health with a holistic, personalized approach. Limitations include reliance on internallogic instead of a live AI backend and the need for broader clinical content. Overall, CareBridge Healthrepresents a promising innovation in women’s health technology by empowering users with actionableinsights and accessible education.