Update Readme

Author: sionpardosi

README.md

@@ -1,12 +1,82 @@
-# Automated Image Processing Application with Algorithm Optimization 
+# Automated Image Processing Application with Algorithm Optimization  
+*Aplikasi Pemrosesan Gambar Otomatis dengan Optimasi Algoritma*  
 
+---
 
-### <summary><strong>Tools:</strong></summary>
+## 📖 Introduction  
+This project aims to develop a web-based image processing application that is fast, efficient, and reliable.  
+The application is designed to:  
+- Enhance image quality through various visual filters.  
+- Optimize image file sizes without sacrificing quality.  
+- Provide users with flexibility to resize images as needed.  
+
+With the rapid growth of digital technology, the need for quick and efficient image management tools is increasing, catering to personal, social media, and professional requirements.  
+
+---
+
+## 🚀 Key Features  
+
+### 📷 Image Filters  
+- **Blur**: Adds a soft blur effect to focus on the main subject or smooth the background.  
+- **Grayscale**: Converts color images to black-and-white with tonal gradations.  
+- **Sharpen**: Enhances image sharpness and detail.  
+- **Sepia**: Creates a vintage or nostalgic effect with a warm brown tint.  
+- **Edge Detection**: Highlights object boundaries for artistic or analytical purposes.  
+- **Selective Filter**: Applies effects to specific parts of an image without affecting the whole.  
+
+### 🗜️ Image Compression  
+- **Lossless Compression**: Reduces file size without any quality loss.  
+- **Compression by Percentage**: Allows users to choose compression levels (e.g., 20%, 50%, 90%).  
+
+### 📏 Image Resizing  
+- **Resize by Percentage**: Adjusts image dimensions relative to the original size (e.g., 50%).  
+- **Resize by Pixel**: Sets image dimensions to specific width × height.  
+- **Algorithm-Based Resizing**: Uses optimization algorithms like Divide and Conquer for efficiency.  
+
+---
+
+## 🔧 Technologies Used  
 <p>
     <img src="https://img.shields.io/badge/Language-Python-blue?logo=python&logoColor=white" />
-    <img src="https://img.shields.io/badge/Algorithm-Divide%20and%20Conquer-orange?logo=python&logoColor=white" />
-    <img src="https://img.shields.io/badge/Library-Numpy-green?logo=numpy&logoColor=white" />
+    <img src="https://img.shields.io/badge/Algorithm-Greedy-orange?logo=python&logoColor=white" />
     <img src="https://img.shields.io/badge/Library-OpenCV-blue?logo=opencv&logoColor=white" />
     <img src="https://img.shields.io/badge/Library-Pillow-5A5A5A?logo=pillow&logoColor=white" />
-    <img src="https://img.shields.io/badge/Platform-iOS-lightgrey?logo=apple&logoColor=white" />
-</p>
+    <img src="https://img.shields.io/badge/Platform-Web-green?logo=html5&logoColor=white" />
+</p>  
+
+- **Frontend**: HTML, CSS, JavaScript for interactive user interfaces.  
+- **Backend**: Python with Flask for image processing logic.  
+- **Libraries**: Pillow, OpenCV, Numpy for image manipulation and analysis.  
+
+---
+
+## 📝 Objectives  
+- Provide a practical and efficient solution for image editing.  
+- Simplify compression, resizing, and filter application for users.  
+- Enhance computational efficiency using algorithms like Greedy, Divide and Conquer, and Dynamic Programming.  
+
+---
+
+## 📂 Project Structure  
+- `app.py`: Backend for image processing.  
+- `static/`: Static files such as CSS and JavaScript.  
+- `templates/`: HTML files for the user interface.  
+- `README.md`: Project documentation.  
+
+---
+
+## 🌟 How to Run the Project  
+1. Clone the repository:  
+   ```bash
+   git clone https://github.com/username/automated-image-processing.git
+
+2. Install dependencies:
+   ```bash
+   pip install -r requirements.txt
+
+3. Run the application::
+   ```bash
+   python app.py
+
+
+