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@article{205627,
        author = {Ms.Bhairavi Gotkhinde and Ms.Nandini Vaijwade and Ms.Khushi Sanjay and Ms. Eshwari Suryawanshi and Dr.Bhagyashree Tingare},
        title = {She Care AI: An Intelligent Women's Health Companion},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {7408-7415},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205627},
        abstract = {Women’s health is one of the big concerns because women don't have any smart personalized tools to help diagnose the issue. Most of the mobile apps only track periods, they don't offer advanced symptom analysis, accurate risk assessment or supportive conversations. This paper introduces SheCare AI, a healthcare platform that fills this gap. It uses artificial intelligence, machine learning, Natural Language Processing and a conversational AI assistant to provide support and assistance. The platform has a user- web application frontend, a secure backend and a database for storing information. It uses a model to predict PCOD risk with 91% accuracy. It analyzes daily entries of mood journal to understand how women feel. The platform also tracks cycles, provides nutrition advice, screens for endometriosis risk and also help to find nearby clinics. SheCare AI ensures security through authentication, data protection and input validation. Testing with over 150 users aged 18–45 showed that the platform aligns with gynecologist-validated PCOD screening criteria. SheCare AI proves that a mobile AI-integrated platform can improve women’s healthcare without needing hospital infrastructure making it more accessible. The platform combines machine learning classification models, Natural Language Processing (NLP)-based sentiment analysis, and a context-aware conversational AI assistant to support womens health. Women’s reproductive health management, around PCOD can be improved with SheCare AI. SheCare AI provides cycle tracking with a 2-day prediction accuracy for 87% of pilot users, cycle phase-aware nutritional guidance, endometriosis risk screening and a clinic finder using OpenStreetMap Overpass API, supporting women’s health. SheCare AI is a stack API-driven healthcare platform that bridges the gap in women’s reproductive health management particularly around PCOD. The platform provides a solution, for women’s reproductive health, including PCOD risk prediction, menstrual cycle tracking and conversational support.},
        keywords = {Polycystic Ovarian Disorder (PCOD), women's reproductive health, machine learning, NLP, sentiment analysis, XGBoost, Flask REST API, Supabase, context-aware AI, mobile health, menstrual cycle tracking, preventive healthcare.},
        month = {June},
        }