This is a Next.js project bootstrapped with create-next-app.

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.js. The page auto-updates as you edit the file.

Deployment Architecture

The production Next.js application performs TFLite inference entirely in the browser. Its Netlify build only requires the Node.js dependencies declared in package.json; it does not require TensorFlow, NumPy, Flask, or a Python runtime.

The older Flask inference service is retained under api/ for local or standalone use. Install its dependencies explicitly when working on that service:

python -m pip install -r api/requirements.txt
python api/index.py

Keeping these requirements under api/ prevents frontend hosting providers from installing the unused TensorFlow server stack during the website build.

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

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.