Labelwise - Food label scanning and analysis

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  Labelwise

Inspiration

I've spent the last few years in the packaged food business, and as an amateur chef and food lover, I've seen firsthand how much misinformation surrounds food ingredients and additives—things like MSG, thickeners, and more. Ingredients that sound "sciency," artificial, or even dangerous are often perfectly safe and, in many cases, derived from natural sources.

The sheer volume of misinformation—mostly spread through social media—is staggering. Even worse, some individuals deliberately spread disinformation to sell their courses or supplements.

With Labelwise, I wanted to create a tool that anyone can use to scan the label of a packaged food product and receive a simple, clear explanation of each ingredient—what it is, what it does, and whether it's of natural origin.

What it does

Labelwise allows users to scan the label of a packaged food item. The AI reads and analyses the label, extracts the ingredients, and presents them in plain language, complete with helpful explanations about each ingredient’s purpose and origin.

How we built it

Labelwise was built using Bolt, Supabase, and the OpenAI API.

Challenges we ran into

The biggest challenge was getting the AI to accurately decode and interpret food labels, extract ingredients correctly, and deliver an analysis that was clear, concise, and trustworthy for the end user.

Accomplishments we're proud of

This is my first app of this kind, and I’m proud of everything, from the concept to the execution.

What we learned

I gained hands-on experience with React, best practices in website design, and AI prompt engineering.

What's next for Labelwise

Next, I plan to add nutritional analysis and integrate external APIs to enrich the information provided to users, making Labelwise an even more powerful tool for food transparency. I am also working on a mobile app for a device.

Built With

• openai
• react
• stripe
• supabase
• tailwind
• typescript
• vite