Wear Optimization

A web application for detecting and optimizing wear patterns using AI vision analysis.

Project Structure

The project consists of two main components:

• /src/api: Azure Functions backend API (.NET)
• /src/app: React frontend application (Vite + TypeScript)

Prerequisites

• Node.js (v16 or later)
• .NET 6.0 SDK
• Azure Static Web Apps CLI (npm install -g @azure/static-web-apps-cli)

Running Locally

1. Start the API (Azure Functions):

   cd src/api
   func start --port // default port is 7071

2. Start the web application:

   cd src/app
   npm install
   npm run dev // default port is 5173
   

3. Start the Static Web Apps CLI to connect the frontend and API:

   swa start http://localhost:5173/ --api-devserver-url http://localhost:7071

The application will be available at http://localhost:4280.

Development

• Frontend: React application with TypeScript, running on Vite
• Backend: Azure Functions with .NET
• Local development uses Azure Static Web Apps CLI to emulate the production environment