Cross-platform mobile app (React Native) with AI-powered PCOS/menstrual health insights (87-99% accuracy), cycle-synced meal/activity tracking, and Google Fit/Apple Health integration. Built with PyTorch, LangChain & Expo for seamless UX.

AI-Driven PCOS/Menstrual Health Insights: Built an Agentic RAG model (PyTorch, LangChain) for personalized predictions—87% accuracy on symptomatic data, 99% on ultrasound images—reducing misinformation reliance.

Cycle-Synced Ecosystem: Integrated meal plans & activity trackers with menstrual cycles, connecting to Google Fit & Apple Health for real-time wellness tracking.

Seamless UX/UI: Designed Figma-to-code workflows, ensuring smooth onboarding and clean, intuitive interfaces for 10K+ potential users.

Cross-Platform Deployment: Developed with React Native (Expo) for iOS/Android, optimizing performance and accessibility.

Impact: Enhanced symptom management for women through AI-guided health tools and data-driven lifestyle sync.