This project aims to develop a machine learning model to detect and classify diseases in potato plants using images. By leveraging computer vision techniques, we aim to assist farmers in identifying diseases early, thereby improving crop yield and reducing losses.
- Image classification of potato diseases.
- User-friendly web interface for uploading images.
- Real-time disease prediction.
- Detailed analysis and insights on detected diseases.
- Python
- TensorFlow/Keras for model development
- OpenCV for image processing
- Flask/Django for web application
- HTML/CSS/JavaScript for front-end
- Clone the repository:
git clone https://github.com/yourusername/potato-disease-detection.git