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πŸ” Google Vision Image Recognition

This project integrates Google Cloud Vision API into a simple web interface that allows users to upload an image and receive recognition results such as labels, landmarks, and text detection. Useful for prototyping AI-powered image analysis features.


✨ Features

  • πŸ–ΌοΈ Upload an image and get labels, landmarks, and OCR text.
  • ☁️ Google Cloud Vision API integration.
  • ⚑ Simple and responsive UI for testing and demo purposes.

πŸš€ Getting Started

1. Clone the repository

git clone https://github.com/salmanpatnee/Google_Vision_Image_Recognition.git
cd Google_Vision_Image_Recognition

2. Install dependencies

composer install
npm install

3. Set up your Google Cloud Vision API credentials

  • Create a .env file in the root directory.
  • Add your Google Cloud credentials (e.g., API key or path to credentials JSON file).

4. Run the application

npm start

πŸ› οΈ Tech Stack

  • βš›οΈ Vue
  • ☁️ Google Cloud Vision API

πŸ“„ License

MIT License


πŸ‘€ Author

Salman Patnee

About

πŸ›οΈ A Laravel + Inertia.js web app where users can search for products by uploading images πŸ–ΌοΈ, powered by Google Vision API πŸ‘οΈβ€πŸ—¨οΈ. Supports visual recognition, smart search, and a modern frontend experience ⚑.

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