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-# PictoPy
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+[](https://aossie.org/)
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-PictoPy is an advanced desktop gallery application that combines the power of Tauri, React, and Rust for the frontend with a Python backend for sophisticated image analysis and management.
-
-# Want to Contribute? 😄
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- 
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-1. First, join the **[Discord Server](https://discord.gg/hjUhu33uAn) (Go to Projects->PictoPy)** to chat with everyone.
-2. For detailed setup instructions, coding guidelines, and the contribution process, please check out our [CONTRIBUTING.md](./CONTRIBUTING.md) file.
-
-# Architecture
-
-### Frontend
-
-- **Tauri**: Enables building the desktop application
-- **React**: Used for creating the user interface
-- **Rust**: Powers the backend, which the frontend communicates with through Tauri's API
+---
-### Backend (Python)
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+
PictoPy
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-- **FastAPI**: Serves as the API framework
-- **SQLite**: Database for storing metadata and embeddings
-- **YOLO**: Used for object detection
-- **FaceNet**: Generates face embeddings
-- **ONNX Runtime**: Runs the models efficiently
-- **DBSCAN**: Performs clustering for face embeddings
+PictoPy is an advanced desktop gallery application that combines the power of **Tauri**, **React**, and **Rust** for the frontend with a **Python** backend for sophisticated image analysis and management. It offers efficient data handling, parallel processing, and a privacy-focused design that keeps your data entirely offline.
-### Backend (Rust via Tauri)
+---
-Handles file system operations and provides a secure bridge between the frontend and local system.
+## 🚀 Features
-## Features
+- **Smart Tagging**: Automatic tagging of photos based on detected objects, faces, and their recognition.
+- **Album Management**: Traditional gallery features for organizing and managing photo albums.
+- **Advanced Image Analysis**: Object detection and facial recognition powered by YOLO and FaceNet.
+- **Privacy-Focused**: Fully offline functionality keeping your data on your device.
+- **Smart Search & Retrieval**: Efficient search across your photo library.
+- **Performance**: Efficient data handling and parallel processing for smooth operations.
+- **Cross-Platform**: Compatible across major desktop operating systems.
-- Smart tagging of photos based on detected objects, faces, and their recognition
-- Traditional gallery features of album management
-- Advanced image analysis with object detection and facial recognition
-- Privacy-focused design with offline functionality
-- Efficient data handling and parallel processing
-- Smart search and retrieval
-- Cross-platform compatibility
+---
-## Technical Stack
+## 💻 Tech Stack
| Component | Technology |
| ----------------- | -------------------- |
@@ -52,6 +82,7 @@ Handles file system operations and provides a secure bridge between the frontend
| Image Processing | OpenCV, ONNX Runtime |
| Object Detection | YOLOv11 |
| Face Recognition | FaceNet |
+| Clustering | DBSCAN |
| API Framework | FastAPI |
| State Management | Redux Toolkit |
| Styling | Tailwind CSS |
@@ -62,4 +93,32 @@ Handles file system operations and provides a secure bridge between the frontend
---
-Our Code of Conduct: [CODE_OF_CONDUCT.md](./CODE_OF_CONDUCT.md)
+## 🏗️ Architecture
+
+### Frontend
+- **Tauri**: Enables building the secure, lightweight desktop application.
+- **React**: Used for creating the dynamic user interface.
+- **Rust**: Powers the system-level backend, which the frontend communicates with through Tauri's API.
+
+### Backend (Python)
+- **FastAPI**: Serves as the high-performance API framework.
+- **SQLite**: Database for storing metadata and embeddings.
+- **YOLO**: Used for precise object detection.
+- **FaceNet**: Generates face embeddings for recognition.
+- **ONNX Runtime**: Runs the ML models efficiently.
+- **DBSCAN**: Performs clustering for face embeddings to group similar faces.
+
+### Backend (Rust via Tauri)
+Handles file system operations and provides a secure bridge between the frontend and the local system.
+
+---
+
+## 🔗 Repository Links
+
+1. [Main Repository](https://github.com/AOSSIE-Org/PictoPy)
+2. [Frontend](https://github.com/AOSSIE-Org/PictoPy/tree/main/frontend)
+3. [Backend](https://github.com/AOSSIE-Org/PictoPy/tree/main/backend)
+
+---
+Copyright (C) 2026 AOSSIE (Australian Open Source Software Innovation and Education)
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