This web application classifies plant leaf images into one of 72+ plant diseases using a fine-tuned DenseNet121 model trained with PyTorch.
The frontend allows users to upload a leaf image, and the backend (Flask) serves the model’s prediction along with disease details, prevention tips, and fertilizer recommendations — all in real time.
- 🔬 PyTorch – For building and loading the deep learning model
- 🎨 HTML/CSS – User interface
- 🔌 Flask – Backend API and model serving
- 🖼 Torchvision – For image transforms
- 🧪 Pillow & NumPy – Image processing & computation
- Upload leaf images from any device
- Real-time prediction using DenseNet
- JSON-based mapping for:
- 🔍 Disease details
- 🌾 Prevention & treatment
- 🌱 Fertilizer suggestions
- Easy-to-use frontend
- Runs locally or deploys easily