🦠 Detect chicken diseases early by analyzing fecal images, reducing mortality and losses in poultry farming with advanced deep learning and MLOps.
# 🐔 Chicken-Disease-Classification - Early Disease Detection for Poultry Farmers
## 📜 Project Description
The Chicken Disease Classification Using MLOps DVC Pipeline project utilizes the VGG16 architecture to analyze images of chicken fecal matter. This tool helps poultry farmers detect diseases early, reducing financial losses and promoting healthier flocks.
## 🚀 Getting Started
This guide will help you download and run the Chicken Disease Classification software. Follow these steps carefully.
## 📥 Download & Install
1. **Visit the Releases Page:** To download the software, visit the Releases page here.
2. **Select the Latest Release:** Look for the latest version at the top of the page.
3. **Download the File:**
- Click on the asset listed under the latest release. The file will download automatically to your device.
4. **Run the Software:**
- Locate the downloaded file on your computer.
- Double-click the file to start the application.
## 📋 System Requirements
Before you download the software, ensure your system meets the following requirements:
- **Operating System:** Windows 10 or higher, macOS, or a modern Linux distribution.
- **Memory:** At least 4GB of RAM is recommended for smooth operation.
- **Disk Space:** You need a minimum of 1 GB free space for installation and generated data.
## 📊 Features
- **Image Analysis:** Analyze images of chicken fecal matter for disease detection.
- **MLOps Integration:** Utilize a continuous integration and deployment (CI/CD) pipeline for stable updates.
- **User-Friendly Interface:** The software is designed for ease of use, with simple navigation.
- **Multi-Platform Support:** Run the application on various operating systems without issues.
## ⚙️ How to Use the Application
After running the software, follow these steps to classify chicken fecal images:
1. **Upload Images:** Use the “Upload” button to choose the images you want to analyze.
2. **Run Analysis:** Click on the “Analyze” button. The tool will proc …