Lumpy Cattle Skin Disease Report Generator

Table of Contents

• Introduction
• Features
• Technologies Used
• Installation
• Usage

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Introduction

The Lumpy Cattle Skin Disease Report Generator is a web application that utilizes a Convolutional Neural Network-based machine learning model to identify and report the type of skin disease in cattle from uploaded images. The application is built with a Python Django backend to provide an efficient and user-friendly solution for disease detection in cattle.

Features

• Upload images of cattle skin for disease analysis.
• Machine learning model for disease classification.
• Report generation with disease type identification.
• User-friendly web interface for easy interaction.
• Efficient and accurate disease detection.

Technologies Used

• Front-end: HTML, CSS
• Back-end: Python, Django
• Machine Learning: Convolutional Neural Network (CNN)

Installation

1. Clone the repository:

   git clone https://github.com/your-username/lumpy-cattle-disease.git

2. Navigate to the project directory:

   cd lumpy-cattle-disease

3. Install dependencies:

   pip install -r requirements.txt

4. Run the Django development server:

   python manage.py runserver

Usage

1. Visit the Lumpy Cattle Skin Disease Report Generator website.

2. Upload images of cattle skin lesions for analysis.

3. The machine learning model identifies the disease type and generates a report.

4. Users can access the report with disease information and recommended actions.