Wombcare-mamascan

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  Mamascan App Food AI

Inspiration

Pregnant women shouldn't have to Google every meal — they deserve instant, trusted food safety guidance at the moment of decision.

What it does

MamaScan lets women photograph any food and instantly receive AI-powered safety guidance tailored to their exact pregnancy stage — from Pre-Pregnancy through Postpartum.

How I built it

Built with React, JavaScript, and Anthropic Claude Vision API in a single HTML file — planned using spec-driven development with full scope, PRD, and technical spec before writing one line of code.

Challenges I ran into

Camera access requires HTTPS, GitHub deployment was new to me, and crafting stage-specific AI prompts that gave accurate clinical guidance took multiple iterations.

Accomplishments that I'm proud of

Shipping a real working AI health app as a first-time builder — fully planned, deployed, and live on Vercel with zero backend infrastructure.

What I learned

Planning before building isn't slowing down — it's the fastest way to ship something real that actually matches what you intended to build.

What's next for MamaScan-

Android Play Store launch, barcode scanning, personalised meal suggestions, and multi-language support for non-English speaking mothers worldwide.

Built With

• and-the-anthropic-claude-vision-api-?-deployed-on-vercel-via-github
• anthropic-claude
• claude-api
• claude-code
• css3
• food-safety
• github
• html5
• javascript
• pregnancy-health
• react
• vanilla-javascript
• vercel
• vision-ai
• women's-health