Projects

Leaf Disease Prediction & Fertilizer Recommendation

A deep learning system that detects plant leaf disease from an uploaded image and recommends a suitable fertilizer based on the diagnosis.

Built as the final-year main project. Users upload a photo of a plant leaf; a trained CNN model classifies the disease and the app suggests a fertilizer or treatment accordingly.

Highlights
  • Trained a CNN classifier on a labeled leaf-disease image dataset
  • Served predictions through a Flask API
  • Simple web UI for uploading an image and viewing the diagnosis
  • Sample result: replace with your actual accuracy/metric, e.g. "92% validation accuracy"
PythonTensorFlow / PyTorchCNNFlask
Live demoSource code
Screenshots

How it looks

Upload screen

Replace this card with a screenshot of the image upload page.

Prediction result

Replace this card with a screenshot of a sample diagnosis and fertilizer recommendation.