Label Lens

Inspiration

• I got inspired after watching a podcast on The Diary of a CEO.
• It highlighted how ultra-processed foods can have carcinogenic ingredients.
• Checking labels manually seemed tough, so I decided to simplify it with an app.

What It Does

• Label Lens analyzes food product ingredient lists using AI.
• Gives a health rating (out of 10) for each product.
• Flags harmful stuff like carcinogens and preservatives.
• Lets you compare up to 3 products to pick the healthiest one.

How I Built It

• Built an AI agent in Botpress, trained it to spot harmful ingredients.
• Used React Vite for a fast, user-friendly frontend.
• Connected the AI to the app via API for real-time analysis.
• Used Supabase for secure storage and user authentication.

Challenges I Faced

• Fine-tuning the Botpress AI was hard—it kept misclassifying some ingredients.
• API calls between React and Botpress were slow, so I added caching to fix it.
• Supabase authentication had bugs with user sessions, took time to debug.
• Making the interface simple yet informative needed a few redesigns.

Accomplishments I’m Proud Of

• Got the AI to accurately detect harmful ingredients.
• Built a comparison feature that works smoothly for 3 products.
• Integrated React Vite, Botpress, and Supabase seamlessly.
• Created a tool that helps people eat healthier!

What I Learned

• How to train an AI agent for a specific task like food analysis.
• Improved my skills in React Vite for frontend development.
• Learned to use Supabase for secure backend storage.

What’s Next for Label Lens

• Add barcode scanning to auto-read ingredient lists.
• Include personalized recommendations (e.g., for vegan or gluten-free diets).
• Expand the ingredient database for better analysis.
• Partner with health organizations to validate and grow the app.

Built With

• api
• botpress
• chat
• javascript
• netlify
• react
• supabase
• vite