Wecare – The Health Care Platform

Abstract - Women's healthcare is severely lacking in numerous regions globally, primarily because of the social stigma surrounding reproductive matters, restricted access to early diagnostics, and fragmented healthcare systems. Wecare is a digital healthcare platform powered by artificial intelligence (AI) that aims to bridge the gap in women's healthcare by providing confidential and easily accessible services specifically designed for women. It combines menstrual tracking, medical history storage, early detection of conditions like polycystic ovary syndrome (pcos) and breast cancer through artificial intelligence (ai) models, and virtual consultations with healthcare providers. This paper examines the system architecture, artificial intelligence methodology, and the implementation pipeline constructed using technologies like Python, Django Rest Framework, MySQL, and machine learning libraries such as TensorFlow and Scikit-learn. The platform's scalability, usability, and impact are evaluated through performance assessment, user feedback, and practical application. Wecare presents a promising step towards empowering women's health digitally, particularly in underserved communities. Key Words: Women’s Health, Artificial Intelligence, Digital Health Platform, Menstrual Tracker, Teleconsultation, PCOS Diagnosis, Django REST Framework, Machine Learning, Preventive Care, Confidential Healthcare.