Application Demo

Author

Tam Le

Published

October 2, 2025

Application Demo

This demo video shows the potato disease detection app running on localhost. Since the backend API is not deployed yet, this demonstrates how the application works locally during development.

Demo Video

What the Demo Shows

The video demonstrates the complete workflow:

  1. Image Upload: User selects a potato leaf image
  2. Processing: React frontend sends image to FastAPI backend
  3. Model Prediction: TensorFlow CNN model analyzes the image
  4. Results: Displays disease classification (Early Blight, Late Blight, or Healthy)

Technical Stack

  • Frontend: React with Material-UI for clean interface
  • Backend: FastAPI serving the TensorFlow model
  • Model: CNN trained on PlantVillage dataset
  • Features: Drag-and-drop upload, real-time results

Note: This shows the application running locally. The backend API will be deployed online in the future.