Campus Photo Collector

A Next.js web application for collecting and managing campus photos from multiple universities with AI-powered metadata analysis.

Features

• Multi-University Support: Xidian University (西安电子科技大学), Xi'an Shiyou University (西安石油大学), Xi'an University of Technology (西安理工大学), and University of Bristol (布里斯托大学)
• Rich Metadata Collection: Capture photo time, season, weather, location type, and photography style
• AI-Powered Analysis: GLM-4.6V-Flash vision model integration for automatic metadata suggestion
• EXIF Data Extraction: Automatically extracts GPS coordinates and focal length from photos
• Drag & Drop Upload: User-friendly file upload with preview
• SQLite Database: Efficient local storage with full metadata tracking

Getting Started

Prerequisites

• Node.js 18+ and npm
• GLM API Key (optional, for AI features) - Get one at https://open.bigmodel.cn/usercenter/apikeys

Installation

1. Clone or navigate to the project directory:

cd campus-photo-collector

2. Install dependencies:

npm install

3. Configure environment variables (optional):

# Copy the example file
cp .env.example .env

# Edit .env and add your GLM API Key
# GLM_API_KEY=your_api_key_here

4. Start the development server:

npm run dev

5. Open http://localhost:3000 in your browser

Docker Deployment

Using docker-compose:

# Set your API key in environment variable or .env file
export GLM_API_KEY="your_api_key_here"

# Start services
docker-compose up -d

Open http://localhost:3000 in your browser

License

Research and educational purposes.