NoChemicals - Nutrition Label Analyzer

This application analyzes nutrition labels for potentially harmful ingredients using AI.

Environment Setup

1. Copy .env.example to .env
2. Add your API key to the .env file

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Features

• Upload nutrition label images
• AI-powered ingredient analysis
• Color-coded risk classification
• Detailed explanations of harmful ingredients

Sample Images

The application comes with sample nutrition label images in the public/sample_pictures directory:

• sample1.jpg: Energy drink nutrition label
• sample2.jpg: Supplement nutrition label

Tech Stack

• Next.js
• TypeScript
• Tailwind CSS
• AI-powered image analysis
• shadcn/ui components

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.