• 

  Nutrisnap - Uploading a picture

• 

  Nutrisnap - Nutrional Overview result

• 

  Nutrisnap - Nutritional details, women's health benefits

Why I Built NutriSnap

Like many women in mid-life, I found myself squinting at nutrition labels in the grocery store, trying to figure out if what I was buying was actually good for me. As my health needs changed, I wanted a quicker and easier way to know if a food item was a healthy choice.

I became a software engineer later in life, and I love showing others that you're never too old to learn something new. When I discovered how powerful the new AI models are, I knew I could use them to solve my nutrition label problem.

The hardest part wasn't the coding - it was deciding what to build! AI can do so many amazing things, but I decided to focus on solving one simple problem: making nutrition labels easier to understand. I built NutriSnap to help women like me make better food choices by taking a quick photo of any nutrition label and getting an instant, easy-to-understand explanation of its information. In the future, I want to expand the input types beyond labels to include pictures of actual food items or whole meals. This is something I've already begun to explore.

I hope NutriSnap shows how anyone can use new technology to solve everyday problems. You don't have to be a lifelong coder or a nutrition expert - you just need curiosity and a problem worth solving.

Built With

• google-gemini-flash
• python
• streamlit