+A sophisticated photo editing application that leverages Large Language Models (LLMs) to enhance images using Amharic prompts. This application combines multiple AI technologies to provide intelligent photo editing capabilities.
+
+## Features
+
+### 🤖 AI-Powered Technologies
+- **NLLB Translation**: High-accuracy Amharic-to-English translation using Hugging Face's NLLB model
+- **LLM Agent Planning**: Task decomposition using LLaMA-3 inspired architecture for breaking down editing requests
+- **Generative Editing**: Advanced image manipulation using Stable Diffusion InstructPix2Pix
+- **Multimodal Evaluation**: Image-prompt evaluation using vision-language models for quality assessment
+- **Basic Image Processing**: OpenCV/Pillow integration for fundamental adjustments
+
+### 📱 User Interface
+- **Flutter Frontend**: Modern, responsive mobile and web interface
+- **Amharic Support**: Native Amharic text input with proper font rendering
+- **Real-time Preview**: Side-by-side comparison of original and edited images
+- **Manual Controls**: Sliders for brightness, contrast, and saturation adjustments
+- **Full-screen Viewing**: Zoom and pan capabilities for detailed image inspection
+
+### 🔧 Backend Capabilities
+- **RESTful API**: Flask-based backend with comprehensive endpoints
+- **Image Upload**: Support for various image formats with automatic preprocessing
+- **Batch Processing**: Efficient handling of multiple editing operations
+- **Error Handling**: Robust error management with user-friendly feedback
+
+## Architecture
+
+```
+┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
+│ Flutter App │───▶│ Flask Backend │───▶│ AI Models │
+│ │ │ │ │ │
+│ • Image Upload │ │ • Translation │ │ • NLLB │
+│ • Amharic Input │ │ • Task Planning │ │ • InstructPix2Pix│
+│ • Results View │ │ • Image Process │ │ • LLaMA-3 │
+│ • Manual Edit │ │ • Eva …