Plant Disease Detection API

An API that utilizes a Deep Learning model built with Keras (Tensorflow) to detect if a plant is healthy or suffering from Rust and Powder formation.

Table of Contents

• Introduction
• API Endpoints
  • Running the API
  • Prediction Endpoint
• Contributing
• License

Introduction

This API provides the capability to detect plant diseases using a pre-trained deep learning model. It allows you to upload an image of a plant, and it will predict whether the plant is healthy or suffering from Rust and Powder formation.

API Endpoints

Running the API

To run the API, follow these steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix.

3. Implement your changes.

4. Test your changes.

5. Create a pull request.

Prediction Endpoint

POST /predict

• Description: The root function returns the prediction and confidence level of an image using a pre-trained model.
• Parameters:
  • file (UploadFile): The image to be predicted.
• Returns: A dictionary containing the prediction and confidence level.

Contributing

Contributions to this project are welcome. If you'd like to contribute, please follow these steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix.

3. Implement your changes.

4. Test your changes.

5. Create a pull request.

License

This project is licensed under the Apache License 2.0.