MarMar

Inspiration

My journey with medication side effects began 14 years ago with my first menstruation. What I experienced wasn't unique - I watched my mother, aunts, and friends struggle with similar challenges throughout their lives. From irregular cycles and debilitating cramps to complex hormonal interactions, each woman's story revealed the same truth: our bodies respond differently to medications at different life stages, yet most medication checkers treat all patients identically.

This personal experience, shared across generations of women in my life, revealed a critical gap in healthcare technology. While women navigate complex hormonal changes - from menstruation to pregnancy to menopause - our medication safety tools remain frustratingly one-size-fits-all. This realisation drove me to create MARMAR-W specifically for women's unique health needs, creating a solution that I wish had existed for all the women in my life.

What it does

MARMAR-W is an AI platform created to bridge a critical gap in women’s healthcare, it provide real-time insights on medication safety specifically for women. By analyzing drug interactions through a women-centered lens, it empowers users and healthcare providers to manage complex medication combinations more safely and efficiently. Healthcare providers can rely on MARMAR-W to simplify their work by providing clear recommendations tailored to women’s unique health stages, helping them make informed decisions quickly. MARMAR-W instantly analyzes:

• Hormonal medication interactions
• Pregnancy and breastfeeding safety
• Life-stage risks (from reproductive years to menopause)
• Women-specific drug metabolism
• Menstrual cycle-based medication timing

How we built it

• ⁠React/Next.js frontend with intuitive design interface.
• ⁠Gemini AI model with women's health-focused prompts. -⁠ ⁠Responsive, accessible design.

Challenges we ran into

• Customizing Gemini to tailor women-specific medication risk models.
• Handling complex hormonal interaction analysis.
• Ensuring health data privacy.
• Managing all the safety categories.
• Building and refining the model based on input from medical advisors.

Accomplishments that we're proud of

• ⁠User-friendly complex medical information
• Prompt that works and give good recommendations
• Satisfied Users

What we learned

• ⁠Female life-stage medication complexities
• ⁠Health tech UX importance
• ⁠Need for women-specific healthcare tools

What's next for MarMar-W

• Develop a mobile app.
• Refine our model to ensure reliability based on women's health data, with rigorous safety checks and compliance with healthcare standards.

Built With

• gemini
• javascript
• react
• vercel