A deep learning–powered web application to classify tomato leaf diseases and suggest treatments. Upload an image of a tomato leaf, and the system will detect the disease using a trained CNN model (MobileNetV2) and display the corresponding cure.
- Upload and preview leaf images via a drag-and-drop interface
- Real-time disease classification using FastAPI + TensorFlow
- Suggests treatment for each detected disease
- Prediction history with timestamps
- Export prediction logs as CSV
- Mobile and desktop responsive design
- Architecture: MobileNetV2 (transfer learning)
- Framework: TensorFlow / Keras
- Input Size: 224x224 RGB
- Dataset: PlantVillage Tomato Dataset
- Classes: 10 tomato leaf disease types
https://tomatocare-vrpk.onrender.com
git clone https://github.com/your-username/tomato-leaf-disease-app.git
cd tomato-leaf-disease-app
## Link
https://tomatocare-vrpk.onrender.com