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cnn-deployment
ibrahimkhail/cnn-deployment
cnn-deployment is a machine learning model from ibrahimkhail. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A professional web application for detecting plant diseases using Convolutional Neural Networks (CNN). Features bilingual support (English/Pashto), RTL/LTR switching, user authentication, admin dashboard, and comprehe…
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Updated Jan 9, 2026
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At a glance
- Access
- Public
- Created
- Jan 9, 2026
- Updated
- Jan 9, 2026
- SHA
- 89711b9a
Model card
From the Hugging Face model README
🌱 Plant Disease Classifier
A professional web application for detecting plant diseases using Convolutional Neural Networks (CNN). Features bilingual support (English/Pashto), RTL/LTR switching, user authentication, admin dashboard, and comprehensive disease management.
📋 Features
🌐 Multi-Language Support
- English & Pashto interface with automatic RTL/LTR switching
- Real-time language switching without page reload
- Complete bilingual disease information
👥 User Management
- User registration and login system
- Role-based access control (Admin/User)
- User prediction history tracking
- Profile management
🎯 Disease Detection
- Real-time plant disease classification
- 8 PlantVillage dataset classes support
- Disease severity analysis
- Treatment recommendations
- Prevention tips
📊 Admin Dashboard
- Comprehensive system statistics
- User management interface
- Message inbox with reply functionality
- System logs with auto-deletion
- Disease information management
🔧 Technical Features
- Flask web framework with SQLAlchemy ORM
- TensorFlow/Keras model integration
- Responsive Bootstrap 5 design
- File upload with validation
- Real-time progress indicators
- Toast notifications
- Sidebar navigation with toggle
- Disclaimer and warning system
📁 Project Structure
🌱 Plant Disease Classifier
A professional web application for detecting plant diseases using Convolutional Neural Networks (CNN). Features bilingual support (English/Pashto), RTL/LTR switching, user authentication, admin dashboard, and comprehensive disease management.
📋 Features
🌐 Multi-Language Support
- English & Pashto interface with automatic RTL/LTR switching
- Real-time language switching without page reload
- Complete bilingual disease information
👥 User Management
- User registration and login system
- Role-based access control (Admin/User)
- User prediction history tracking
- Profile management
🎯 Disease Detection
- Real-time plant disease classification
- 8 PlantVillage dataset classes support
- Disease severity analysis
- Treatment recommendations
- Prevention tips
📊 Admin Dashboard
- Comprehensive system statistics
- User management interface
- Message inbox with reply functionality
- System logs with auto-deletion
- Disease information management
🔧 Technical Features
- Flask web framework with SQLAlchemy ORM
- TensorFlow/Keras model integration
- Responsive Bootstrap 5 design
- File upload with validation
- Real-time progress indicators
- Toast notifications
- Sidebar navigation with toggle
- Disclaimer and warning system
📊 Supported Plant Diseases
The system detects 8 common plant diseases from the PlantVillage dataset:
English Classes:
- Pepper Bell Bacterial Spot
- Pepper Bell Healthy
- Potato Early Blight
- Potato Late Blight
- Potato Healthy
- Tomato Bacterial Spot
- Tomato Early Blight
- Tomato Late Blight
📁 Project Structure
plant-disease-classifier/
│
├── app.py # Main Flask application
├── cnn.h5 # Trained CNN model
├── requirements.txt # Python dependencies
├── Procfile # Heroku deployment
├── runtime.txt # Python version
├── .gitignore # Git ignore file
│
├── static/ # Static files
│ ├── css/
│ │ ├── style.css # Main styles
│ │ └── rtl.css # RTL styles
│ ├── js/
│ │ └── script.js # JavaScript functions
│ └── uploads/ # User uploaded images
│
├── templates/ # HTML templates
│ ├── base.html
│ ├── index.html
│ ├── login.html
│ ├── register.html
│ ├── profile.html
│ ├── prediction.html
│ ├── results.html
│ ├── analysis.html
│ ├── about.html
│ ├── contact.html
│ ├── admin_dashboard.html
│ ├── admin_users.html
│ ├── admin_messages.html
│ ├── admin_logs.html
│ ├── admin_diseases.html
│ ├── edit_disease.html
│ └── disease_info.html
│
└── plant_disease.db # SQLite database
🚀 Quick Start Guide
Prerequisites
- Python 3.8 or higher
- pip (Python package manager)
- Git
Step 1: Clone the Repository
git clone https://github.com/yourusername/plant-disease-classifier.git
cd plant-disease-classifier
📦 requirements.txt
Flask==2.3.3
flask-sqlalchemy==3.0.5
flask-login==0.6.2
flask-bcrypt==1.0.1
tensorflow==2.13.0
keras==2.13.1
numpy==1.24.3
pillow==10.0.0
schedule==1.2.0
gunicorn==21.2.0
python-dotenv==1.0.0
🚢 Deployment
Heroku Deployment
# Login to Heroku
heroku login
# Create Heroku app
heroku create your-app-name
# Set buildpack
heroku buildpacks:set heroku/python
# Deploy
git push heroku main
# Open application
heroku open
- Created
- Jan 9, 2026
- Updated
- Jan 9, 2026