MyOvae is a next-generation wellness companion designed to help individuals navigate their Polycystic Ovary Syndrome (PCOS) journey with confidence and clarity. The application leverages AI-powered insights, data-driven analytics, and a supportive community to provide a personalized experience for managing symptoms, tracking cycles, and improving overall well-being.
This project is built with Next.js, TypeScript, Tailwind CSS, and ShadCN for UI components.
- AI-Powered Insights: Get personalized coaching, symptom predictions, and nutritional analysis from our intelligent assistant, Ovie.
- Intelligent Cycle Tracking: Visualize your cycle with advanced predictions for period start dates, ovulation, and fertile windows.
- Comprehensive Symptom Logging: Track symptoms using a visual constellation map, natural language input, or quick-log buttons.
- Data-Driven Dashboards: View your health score, journey progress, and key metrics on a centralized dashboard.
- The Sisterhood Community: Connect with other users in a safe, moderated community feed for support and inspiration.
- Secure and Private: Your data is protected with end-to-end encryption and production-grade security rules. You have full control over your privacy settings.
[A live demo will be available here upon deployment.]
To get this project running locally, follow these steps:
-
Clone the repository:
git clone [your-repository-url] cd [repository-name] -
Install dependencies:
npm install
-
Set up Environment Variables:
-
Run the development server:
npm run dev
Open http://localhost:3000 with your browser to see the result.