Gynora

Gynora turns your smartphone into a personal hormonal health assistant.

Comment

Inspiration

Polycystic Ovary Syndrome — or PCOS — is one of the most common hormonal conditions affecting young women today. It often shows up as irregular periods, acne, weight gain, fatigue, or mood swings. But here’s the problem: Most girls either ignore these symptoms or don’t realize they could be linked to a deeper issue. The gap between noticing symptoms and getting diagnosed is often too wide — and that’s exactly the gap Gynora aims to bridge. We wanted to create a tech-enabled, accessible, and supportive solution that helps girls take charge of their hormonal health early, confidently, and intelligently.

What it does

Gynora is an AI-powered hormonal health platform that detects early signs of PCOS through two major tools:

  1. A smartphone app that uses AI-based facial scanning, symptom logging, and lifestyle tracking to estimate PCOS risk.
  2. An affordable 4-in-1 home testing kit that analyzes sweat or saliva for hormonal markers (like cortisol, glucose, salt, and pH). The app combines this data into a personalized PCOS risk score, provides insights via an AI health coach, and generates downloadable health reports. It also includes a Learning Zone, smart reminders, and period tracking — making it a complete hormonal health assistant.

How we built it

  1. Frontend: Built using React Native, ensuring a smooth mobile experience.
  2. AI Facial Scan: Trained with datasets for acne, pigmentation, and facial hair detection using TensorFlow and integrated with the phone’s camera.
  3. Backend & Analytics: Cloud-hosted on Firebase with secure data handling and real-time AI computations.
  4. Home Testing Kit: Developed using paper-based colorimetric sensors to detect hormonal changes through sweat/saliva.
  5. PDF Report Generator, Chatbot (AI Health Coach), and Dashboard UI were integrated for user convenience.

Challenges we ran into

  1. Designing a reliable and non-invasive hormonal test that works with sweat/saliva.
  2. Achieving a balance between medical accuracy and user privacy.
  3. Training the facial scan AI to detect subtle signs like pigmentation with minimal error.
  4. Ensuring that all features remain lightweight and functional across mid-range smartphones.
  5. Building trust around a health product designed for young users.

Accomplishments that we're proud of

  1. Created a fully working prototype with 90%+ internal validation accuracy for PCOS prediction.
  2. Successfully integrated a hardware-software solution — the mobile app and test strip work in sync.
  3. Designed a clean, friendly user interface that’s easy to use for teen and young adult users.
  4. Added a supportive AI health coach that doesn't just diagnose, but empowers.

What we learned

  1. Hormonal health is deeply personal, and users need clarity, simplicity, and empathy in health tools.
  2. Even small things like reminders and motivational messages can improve user engagement.
  3. Building hardware + AI integration is challenging but extremely rewarding when users feel empowered.
  4. The importance of privacy, data transparency, and ensuring no judgmental language in health apps.

What's next for Gynora

  1. Partnering with gynecologists and healthcare institutions to validate and refine the tool further.
  2. Expanding into other hormonal conditions like thyroid imbalance and teenage hormonal health.
  3. Developing Bluetooth-enabled strips for automatic reading and input.
  4. Launching Gynora for Him — a hormonal health tracker and coach for boys and men.
  5. Building an active community inside the app for peer support, expert Q&A, and awareness drives.

Built With

Share this project:

Updates