Inspiration
I’ve seen my female friends struggle with severe stomach pain, fatigue, and persistent acne—symptoms they often brushed off as “normal.” As a man, I couldn’t fully understand their pain, but I could listen. They spoke about the frustration of irregular cycles, the fear of not knowing what was happening inside their bodies, and the lack of guidance.
One day, I wondered: What if there was a way to track symptoms, recognize patterns, and provide proactive recommendations before things worsened? Many of them didn’t realize they might have PCOS, a condition affecting 1 in 10 women worldwide, yet over 50% remain undiagnosed.
That thought became the foundation for our AI-powered health companion—a tool that not only tracks symptoms but empowers women with actionable insights.
What it does
Our AI-Powered PCOS & Irregular Period Detector tracks and analyzes symptoms, providing users with:
- Personalized Recommendations: Based on logged symptoms, our AI suggests diet plans, exercise routines, and lifestyle tips to manage symptoms.
- Doctor's Advice: The app analyzes trends in your symptoms and offers guidance on when to consult a healthcare professional.
- Educational Resources: Access curated articles and content about PCOS and health-related topics to empower users with knowledge and encourage proactive care.
How we built it
We developed a web application using Angular for the frontend, a Flask-based API backend, and Firebase for data storage. The system allows users to log symptoms, track changes over time, and receive AI-powered recommendations.
Key technologies:
OpenAI API for personalized health insights
Logging Menstrual Cycle for tracking it
Analyze Symptoms over mutliple cycles for initial diagnosis
Challenges we ran into
- Enlisting all the symptoms and their severity with minimal user inputs and research
- Handling Authentication and privacy of user data within the short period of time.
- Designing an intuitive interface to make health tracking seamless
Accomplishments that we're proud of
- Empowering Women: Our app helps women track and understand their health patterns, providing insights and actionable advice, giving them control over their well-being.
- AI Integration: Successfully integrated OpenAI API for personalized diet and lifestyle recommendations, marking a significant leap toward AI-driven healthcare.
- Health Education: Created an educational hub with resources on PCOS, empowering users with knowledge about their symptoms and potential treatments.
What we learned
- Empathy and Impact: Through this project, we learned how essential it is to approach health solutions with empathy. Women's health is often overlooked, and small efforts to track symptoms and detect patterns can lead to life-changing results.
- Challenges in Health Tech: Privacy, data accuracy, and ethical considerations are significant when dealing with health data, and we learned how to navigate these responsibly.
- AI's Potential in Healthcare: We realized how powerful AI can be in health applications—providing both immediate recommendations and long-term insights that can improve a person’s health journey.
What's next for PCOSPal
Data Security & Authentication
- Implement end-to-end encryption and secure authentication methods to protect user health data.
New Features
- Symptom-Based Medication Suggestions: Recommend OTC remedies based on user symptoms.
- Predictive Analytics: Use historical data to predict symptom changes.
- Community Support: Add a forum for users to share experiences.
- Symptom-Based Medication Suggestions: Recommend OTC remedies based on user symptoms.
Enhanced AI Models
- Use advanced AI models like Transformers for better symptom analysis and personalized recommendations.
Machine Learning for Trend Analysis
- Implement anomaly detection to track symptom changes and alert users when deviations occur.
Expand Educational Resources
- Add interactive learning tools and expert videos to help users understand and manage PCOS.
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