Potato Disease Classification using CNN and Deployment
Description Developed a Convolutional Neural Network (CNN) model to classify potato diseases and deployed it using FastAPI. The system aims to provide accurate and efficient disease detection to support agricultural efforts. Key features include a robust training process, user-friendly API deployment, and real-time prediction capabilities.
Features
- Accurate Disease Classification: Utilizes a CNN model to accurately classify various potato diseases.
- Robust Model Training: Includes comprehensive data augmentation and training processes to ensure model reliability.
- FastAPI Deployment: Deployed using FastAPI for easy and efficient access to the model.
- Real-Time Predictions: Provides immediate disease classification results for uploaded images.
- User-Friendly API: Simple and intuitive API endpoints for seamless integration and use.