MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641082871 A) filed by Saveetha Institute Of Medical And Technical Sciences on July 06, 2026, for Pcod And Pcos Tracker With Ai Assistance.
Inventors include A. Jyothsna; Dr. Bharatha Devi; and Dr Ramya Mohan.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: In response to the growing need for smarter, user-centric, and technology-driven healthcare solutions, this project introduces an innovative PCOD and PCOS Tracker with Al Assistance. This system supports women facing PolycysticOvary Disorder (PCOD) and Polycystic Ovary Syndrome (PCOS) by offering a structured, reliable, and personalized digital platform.The application connects users with Al-driven health insights, symptom tracking, lifestyle monitoring, and medical support through verified hospitals and healthcare professionals. Every operation is monitored by a Central Medical Advisory Council to ensure accuracy, ethics, and data security.Hospitals can join only after submitting valid certifications for verification.. The MedicalAdvisory Council oversees the entire system to maintain transparency and prevent misuse.This web and mobile application addresses major challenges in PCOD/PCOS management by offering continuous monitoring and Al-powered recommendations. By bridging the gap between users, healthcare providers,and authorities, the system enhances trust, diagnosis accuracy, and long-term health outcomes.The system collects multi-dimensional user data such as menstrual cycle irregularities, hormonal symptoms, sleep patterns, physical activity, diet habits, and emotional well-being. Using Al-based pattern recognition and predictive models, the application generates early alerts for symptom fluctuations, cycle predictions, and personalized wellness recommendations. The integrated Al virtual assistant enhances user experience by providing real-time guidance, answering health-related queries, and helping users understand trends in their condition.This tracker functions as a digital health companion, enabling better self-management and informed decision- making. Its reporting and data visualization modules allow users to share summarized medical reports with doctors, improving clinical consultations. The proposed system aims to support early diagnosis, reduce complications, and empower women with knowledge-driven insights for long-term PCOD/PCOS management
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