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Sponsored · by FDMUN
Final Year Project
AI-Powered Assistant Detection System
Team
SA
Saniya Kumari
KA
Kainat Khaliq
KA
Kashish Kumari
Symptom TrackingWomen’s HealthSymptom TrackingData AnalysisLifestyle ManagementBMI MonitoringAI-based Health GuidanceDigital Health PlatformUser-friendly InterfaceHormonal DisorderReproductive HealthSelf-care Management
Abstract
Polycystic Ovary Syndrome (PCOS) is a hormonal disorder that affects women of reproductive age, leading to symptoms such as irregular menstrual cycles, weight gain, acne, and fertility issues. Early detection and effective management are crucial for preventing long-term health complications. This project introduces a PCOS Management System, implemented as both a web and mobile application, to help users track their health data and manage the condition efficiently. The system collects information including age, BMI, menstrual cycle details, symptoms, and lifestyle habits, and applies data analysis to identify patterns and potential risk factors. Users can monitor their progress through interactive dashboards, receive reminders and health tips, and access personalized recommendations. By combining data collection, analysis, and guidance in a single platform, the application empowers women to take proactive steps in managing PCOS and maintaining overall health. This project aims to provide a practical and user-friendly tool to support better health outcomes for women affected by PCOS.
Sponsored · By FDMUN
Sponsored · By FDMUN
Sponsored · By FDMUN
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