Femisync

AI-powered women’s wellness platform for cycle, symptom, and menopause insights.

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Inspiration

Women often track wellness signals like sleep, stress, mood, cycle symptoms, cramps, hot flashes, and fatigue separately across different apps or notes. We wanted to build a single calm and accessible platform that could combine these signals into meaningful wellness insights.

Femisync was inspired by the idea of helping users better understand patterns in their daily wellness, cycle health, and menopause-related symptoms through simple check-ins and AI-powered summaries.

What it does

Femisync is an AI-powered women’s wellness platform that allows users to log daily wellness check-ins including:

  • Sleep
  • Mood
  • Stress
  • Energy
  • Fatigue
  • Cycle tracking
  • Flow intensity
  • Cramps
  • Menopause/perimenopause symptoms
  • Wellness notes

The platform transforms this data into:

  • Analytics dashboards
  • Trend visualizations
  • Symptom frequency charts
  • Cycle insights
  • AI-generated wellness summaries

How we built it

We built Femisync as a full-stack web application.

Frontend:

  • React
  • TypeScript
  • Vite
  • CSS
  • Recharts

Backend:

  • FastAPI
  • Python

AI Integration:

  • Gemini API

The frontend communicates with backend APIs for storing check-ins, generating analytics, tracking wellness trends, and creating AI-powered wellness summaries.

Challenges we ran into

One challenge was organizing cycle tracking, menopause symptoms, and general wellness signals into a clean and non-overwhelming UI.

We also faced challenges integrating frontend wellness forms with backend analytics while keeping data structures consistent across APIs.

Another challenge was handling AI-generated summaries safely and providing meaningful fallback insights when AI responses or quota limits failed.

Accomplishments that we're proud of

We are proud that Femisync became a complete HealthTech prototype with:

  • Daily wellness check-ins
  • AI-powered summaries
  • Analytics dashboards
  • Cycle tracking
  • Symptom trend analysis
  • Menopause-support tracking
  • Responsive wellness-focused UI

We are also proud of creating a calm and user-friendly experience while still supporting complex wellness analytics.

What we learned

Through Femisync, we learned:

  • Full-stack application architecture
  • Frontend-backend API integration
  • AI-powered summarization workflows
  • Analytics visualization
  • HealthTech-focused UI/UX design
  • Data consistency and validation handling

What's next for Femisync

In the future, we would like to add:

  • Secure authentication
  • Persistent cloud database storage
  • Personalized recommendations
  • Predictive wellness insights
  • Notifications and reminders
  • Mobile optimization
  • Full cloud deployment
  • Long-term wellness pattern forecasting

Team Details

Tejaswi Kasipally

  • Backend development and API integration
  • Dashboard and analytics implementation
  • AI summary integration
  • Frontend enhancements and workflow improvements

Thanujaa Vudayagiri Ravindra Babu

  • Daily wellness check-in implementation
  • Frontend development and UI support
  • Backend integration and testing

Shreyanka Saggidi

  • Presentation preparation
  • Documentation and project organization
  • UI review, testing, and feature feedback

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