Healthy Leaf

Healthy Leaf (HL) introduces an innovative approach to plant care through Smart Image Analysis (SIA). This project aims to alleviate the challenges associated with identifying potential diseases (PD) in plants and providing appropriate solutions. By leveraging cutting-edge technology, HL offers a Solutions Adviser (SA) platform where users can upload pictures for Picture Upload and Analysis (POC). The platform analyzes images to determine PD and gives the user information about the disease and its cure.

Screenshots

1. Welcome page

2. Image upload box

3. Disease recognised

4. Information about the disease

Run Locally

To run the application locally, follow these steps:

1. Download the pre-trained model from here.
2. Place the downloaded model file in the main folder of the project.
3. Clone the project

  git clone https://github.com/d-evm/HealthyLeaf.git

4. Install dependencies

  pip install -r requirements.txt

5. Start the server

  python app.py

Resources

• Dataset: New Plant Diseases Dataset from Kaggle, comprising 38 diseases.
• Disease Information Dataset: The dataset containing disease information was generated by AI and is available at dataset\data3.csv.

Future Enhancements

• Expand Disease Coverage: Incorporate additional diseases into the dataset for broader identification capabilities.

• Enhanced Disease Information: Provide more comprehensive information about each disease, including symptoms, treatment options, and preventive measures.

• UI Improvements: Enhance the user interface for better usability and visual appeal, ensuring a seamless and intuitive experience for users.