CycleCare AI

"Every period is proof of strength, resilience, and the beauty of the female body."

Inspiration

We wanted to create a simple solution that helps people better understand and manage their menstrual health. Period tracking alone does not provide enough guidance about symptoms, diet, exercise, and daily wellness. This inspired us to create CycleCare AI, a personalized menstrual wellness assistant.

What it does

CycleCare AI is planned to help users:

Track periods and symptoms Understand personal cycle patterns Get personalized yoga and exercise suggestions Receive diet and nutrition recommendations Get hydration and wellness reminders Identify unusual symptoms and suggest when professional medical advice may be needed

How we built it

At this stage, we are in the planning and initial development phase. We plan to use Python, AI/ML, NLP, OpenCV, and a web-based interface to build the application. The system will use user-provided cycle and symptom information to generate personalized wellness recommendations.

Challenges we ran into

Our main challenge is designing a system that provides useful and personalized recommendations while keeping health information private and avoiding unsafe medical advice. We also need to make sure that AI-generated suggestions are responsible and easy to understand.

Accomplishments that we're proud of

We are proud of developing an idea that combines menstrual health, AI, personalization, nutrition, and physical wellness into one platform. We have also defined the main features and technical direction for the project.

What we learned

Through the initial planning, we learned how important user privacy, responsible AI, personalization, and reliable health information are when developing healthcare-related applications.

What's next for CycleCare AI

Our next step is to build the working prototype. We plan to implement symptom and cycle tracking first, followed by personalized diet and yoga recommendations, AI-based insights, and a safety-alert system. We also aim to improve the app using user feedback and testing.