OvaBloom

🌸 OvaBloom – Personalized PCOS Detection & Wellness Companion

Inspiration

PCOS affects 1 in 5 women, yet it often goes undiagnosed or misunderstood. Many women struggle for years without clarity, facing symptoms that are dismissed or misattributed. PCOS often carries an emotional weight - many women quietly navigate confusion,stigma, and a sense of self-doubt. We were inspired to create something that not only detects PCOS early but also helps women with actionable insights, personalized lifestyle goal, and a sense of support.

What it does

OvaBloom is an Al-powered platform designed to:

Detect PCOS risk based on either clinical form or USG image.
Provide personalized health summaries and treatment suggestions.
Offer tailored meal plans, workout routines, and lifestyle goals.
Enable users to track wellness habits and progress over time.

How we built it

Frontend: Developed using [React / HTML-CSS / Tailwind] to ensure a responsive and user-friendly interface.
Backend: Implemented with [Node.js / Flask], facilitating robust API interactions and data management.
Al Integration: Leveraged OpenAl's API to generate personalized health insights and recommendations.
Database: Utilized [MongoDB / Firebase] for secure and efficient data storage.
Design: Focused on creating an intuitive and empathetic user experience, prioritizing accessibility and clarity.

Challenges we ran into

Making sure the Al-generated health advice was both accurate and genuinely helpful for users was a big responsibility - we had to fine-tune prompts and test results carefully.
Designing an interface that delivers medical content while still feeling warm, supportive, and non-intimidating was a tough balance to strike.
With limited time during the hackathon, it was challenging to bring together all the personalized features we envisioned - from symptom analysis to meal and workout plans - without compromising quality.

Accomplishments that we're proud of

Successfully developed an end-to-end solution from user input to Al-generated health plans.
Created a clean and approachable user interface that resonates with our target audience.
Gained practical experience in integrating Al responsibly within a healthcare context.
Built a platform that has the potential to genuinely assist individuals in managing their health.

What we learned

The importance of empathy-driven design in healthcare applications.
Technical skills in API integration and prompt engineering.
Enhanced our understanding of full-stack development, including frontend-backend coordination.
Recognized the value of user-centric approaches in addressing sensitive health issues.

What's next for OvaBloom

Mood & Cycle Tracking - Monitor emotional health and menstrual cycles for deeper wellness insights.
Supportive Chatbot - An empathetic Al companion for emotional support and motivation.
Activity Hub - Access to PCOS-friendly workouts, yoga videos, and guided routines.
Virtual Therapy - Connect with mental health professionals for counseling and support.
Doctor Finder - Locate and book appointments with nearby healthcare providers.