Skip to content

README.md

Latest commit

 

History

History
13 lines (10 loc) · 1011 Bytes

README.md

File metadata and controls

13 lines (10 loc) · 1011 Bytes

Plant Disease Detection API 🌱

This project is a Flask-based API for detecting plant diseases (Healthy, Powdery Mildew, Rust) using a deep learning model. The model is trained on an image dataset and deployed with an endpoint to classify uploaded images.

🛠 How It Works

  1. Dataset: The dataset was obtained from Kaggle (View Dataset).
  2. Data Preparation: Organized into train, test, and validation folders.
  3. Model Training: A convolutional neural network (CNN) was trained using TensorFlow/Keras to classify plant disease images.
  4. API Development: A Flask API was created to handle image uploads and return predictions.
  5. Frontend Integration: The API is connected to an Expo (React Native) app for users to upload images and receive disease diagnosis.
  6. Future Plans: Integration with Gemini AI to provide treatment instructions.

alt text