Vue Laravel Face Reading App
March 10, 2025 · AI Conversations
### **Tech Stack**
– **Frontend:** Vue.js (with Vue Router & Axios)
– **Backend:** Laravel (REST API)
– **Database:** MySQL or PostgreSQL
– **Face Detection API:** Face-api.js or Microsoft Azure Face API
—
## **Step 1: Set Up Laravel Backend**
### 1️⃣ Install Laravel
composer create-project laravel/laravel face-reading-app
### 2️⃣ Create Authentication (Optional)
If you need user authentication, install Laravel Breeze without Inertia:
composer require laravel/breeze
php artisan breeze:install api
php artisan migrate
### 3️⃣ Create API Routes
Define API routes in `routes/api.php`:
use AppHttpControllersFaceAnalysisController;
Route::post('/analyze-face', [FaceAnalysisController::class, 'analyze']);
### 4️⃣ Create the Face Analysis Controller
php artisan make:controller FaceAnalysisController
Edit `app/Http/Controllers/FaceAnalysisController.php`:
namespace AppHttpControllers;
use IlluminateHttpRequest;
class FaceAnalysisController extends Controller
{
public function analyze(Request $request)
{
$image = $request->file('image');
if (!$image) {
return response()->json(['error' => 'Image is required'], 400);
}
// Here, you can integrate with Face-api.js or Microsoft Azure Face API
return response()->json(['message' => 'Face analysis successful']);
}
}
—
## **Step 2: Set Up Vue.js Frontend**
### 1️⃣ Install Vue in a Separate Folder
npm create vue@latest frontend
cd frontend
npm install
### 2️⃣ Install Required Packages
npm install axios vue-router
### 3️⃣ Create a Simple Upload Component (`src/components/FaceUpload.vue`)
<template>
<div>
<input type="file" @change="uploadImage" />
<p v-if="result">{{ result }}</p>
</div>
</template>
<script>
import axios from 'axios';
export default {
data() {
return {
result: null
};
},
methods: {
async uploadImage(event) {
const file = event.target.files[0];
if (!file) return;
const formData = new FormData();
formData.append('image', file);
try {
const response = await axios.post('http://localhost:8000/api/analyze-face', formData);
this.result = response.data.message;
} catch (error) {
console.error(error);
}
}
}
};
</script>
—
## **Step 3: Run the Project**
### **Run Laravel Backend**
php artisan serve
### **Run Vue Frontend**
cd frontend
npm run dev
—
### **Final Notes**
– You can enhance this by integrating **Face-api.js** on the frontend for real-time face detection.
– If you want **server-side AI processing**, use **Microsoft Azure Face API** or **AWS Rekognition**.
Do you want real-time face analysis with a webcam? Let me know if you need more details!