temp_SSA_SCAN/GEMINI.md

GEMINI.md

Project Overview

This is a Next.js application built with TypeScript that classifies shoes using a machine learning model. The application uses the device's camera to capture images of shoes and then uses a pre-trained model to classify them. The classification results are displayed to the user and can be saved in a history for later review.

The project uses pnpm as the package manager and is structured as a typical Next.js application with the app directory for routing. It uses tailwindcss for styling and lucide-react for icons. The UI is built with a combination of custom components and components from the shadcn/ui library.

Building and Running

To build and run this project, you will need to have Node.js and pnpm installed.

1. Install dependencies:

   pnpm install
   

2. Run the development server:

   pnpm run dev
   

3. Build the project:

   pnpm run build
   

4. Start the production server:

   pnpm run start
   

5. Lint the project:

   pnpm run lint
   

Development Conventions

• Styling: The project uses tailwindcss for styling. Utility classes are preferred over custom CSS.
• Components: The project uses a combination of custom components and components from the shadcn/ui library. Custom components are located in the components directory.
• State Management: The project uses React's built-in state management (useState, useRef, useEffect, useCallback) for managing component state.
• Linting: The project uses ESLint for linting. The configuration is in the eslint.config.mjs file.
• TypeScript: The project is written in TypeScript. The configuration is in the tsconfig.json file.