📸 PhotoGallery Backend API

PhotoGallery Backend API is a Flask-based application for managing and syncing photos with geotagging, face detection, face recognition (using face_recognition model), and EXIF metadata extraction. It leverages SQL Server and Flask-SQLAlchemy to store and serve data in JSON format, enabling seamless integration with both Mobile and Windows interfaces.

---

🚀 Features

• 🔍 Face Detection & Recognition using the face_recognition library
• 🗺️ Geotagging support via EXIF metadata
• 🧠 EXIF Tag Parsing for date, location, and device metadata
• 🗂️ Smart Photo Grouping by person, location, and event
• ⚙️ API-Driven Architecture with Flask
• 🗃️ SQL Server for scalable and structured data storage
• 🔁 Photo Sync between local systems and apps (Mobile/Desktop)

---

📁 Project Structure

photo-gallery-geotagging/
│
├── Model/
├── Controller/
├── stored-faces/
├── Database_Scripts/
├── config.py
├── request_methods.txt
├── router.py
├── directory.env
├── requirements.txt
├── haarcascade_frontalface_default.xml
└── README.md

---

🛠️ Getting Started

✅ Prerequisites

• Python 3.10+
• Flask
• SQL Server
• face_recognition library
• Flask-SQLAlchemy
• Pillow, exifread, and other dependencies

📦 Installation

1. Clone the repository:

git clone https://github.com/shafiamanzoor762/photo-gallery-geotagging.git
cd photo-gallery-geotagging

2. Create and activate a virtual environment:

python -m venv venv
venv\Scripts\activate.bat   # In cmd.exe
venv\Scripts\Activate.ps1   # In PowerShell

3. Install dependencies:

pip install -r requirements.txt

4. Configure your SQL Server database URI in config.py.

---

▶️ Running the Application

python router.py

The API server will start on http://127.0.0.1:5000 or http://0.0.0.0:5000.

---

📌 Example API Endpoints

• See requests_methods.txt for details about endpoints.

---

🧠 Technologies Used

• Flask — Python microframework
• face_recognition — Face detection & recognition
• SQL Server — Database management
• Flask-SQLAlchemy — ORM for SQL Server
• EXIF & Pillow — Metadata handling

---

🔐 License

This project is licensed under the MIT License. See the LICENSE file for details.

---

📚 Resources

• face_recognition GitHub
• Flask Documentation
• Flask-SQLAlchemy
• Working with EXIF Tags

---

✨ Acknowledgements

Thanks to the developers and open-source communities behind face_recognition, Flask, and EXIF tools that made this project possible.

👥 Team Info

Members:

• Aimen
• Shafia
• Iqra
• Rafia

Feel free to connect with us on GitHub or reach out for collaboration!