PicFolio : Smart AI Photo Manager 📷✨

PicFolio is a software solution designed to streamline photo management across desktop and mobile devices. With its client-server architecture, users can upload, organize, and share photos seamlessly between their PC and mobile phone. PicFolio offers the convenience of local storage, providing users with ample space to store their memories without worrying about storage limitations.

The app also includes AI features, allowing users to automatically detect spaces within photos and group them accordingly. Additionally, PicFolio utilizes machine learning algorithms to tag photos for efficient organization.

Screenshots 🖼️

• Desktop💻

• Mobile📱

Features

1. Cross-Platform Compatibility📱💻

• Install the application on your PC as the server and on your mobile device as the client.
• Seamlessly synchronize photos between desktop and mobile.

2. Advanced Photo Management 🔍📚

• Utilize features similar to Google Photos, including face grouping and image tag detection.
• Cluster photos into albums for easy organization.

3. Shared Spaces 📤🔒

• Create shared spaces where multiple users on the same device can access and contribute to shared photo albums.
• Share photos via any sharing app, with photos always stored securely on the PC.

4. Resource Management 💾📱

• Optimize storage resources by utilizing available space on the PC's hard disk or SSD.
• No need to worry about running out of space on mobile devices.

5. Machine Learning Algorithms 🤖🏷️

• Automatically detect spaces within photos and group them accordingly.
• Utilize machine learning algorithms to tag photos for efficient organization.

Installation 📥

1. Desktop (Server) Installation: 💻

   • Download and install the Photo Manager App on your PC from.
   • Follow the on-screen instructions to set up the server.

2. Mobile (Client) Installation: 📱

   • Download and install the Photo Manager App on your mobile device from [link].
   • Connect the mobile app to the desktop server following the setup process.

Development Details 🛠️

• The backend of this application is implemented in Python using the DeepFace library for face recognition, Gemini API for searching across tags and a Recognise Anything Model model for image tagging.
• The frontend is developed using Flutter.

Contributions 🤝

Contributions to the Photo Manager App are welcome! Whether it's bug fixes, feature enhancements, or documentation improvements, feel free to contribute by submitting a pull request.

License📄

This project is licensed under the MIT License - see the LICENSE.md file for details.