[Code Addition Request]: Plant Leaf disease analyzer using machine learning

[pranawk]

Have you completed your first issue?

• I have completed my first issue

Guidelines

• I have read the guidelines
• I have the link to my latest merged PR

Latest Merged PR Link

N/A

Project Description

This project leverages Convolutional Neural Networks (CNNs) to detect plant diseases from leaf images, providing early and accurate diagnoses to support sustainable agriculture. By using Python libraries for data processing, TensorFlow for training our CNN model, and Flask for a user-friendly web interface, this tool offers farmers and researchers a scalable solution for disease detection.

Key Features:

*Data-Driven: Uses labeled images of leaves to train a CNN for high-accuracy disease classification.
*Real-Time Detection: Web interface allows users to upload images and receive immediate diagnosis.
*Scalable for Field Use: Potential for mobile integration, making it suitable for drone or handheld deployment.

Technologies:

*CNN for deep learning-based image classification
*Python libraries for data manipulation and visualization (PIL, Spicy, Seaborn, Matplotlib)
*TensorFlow for model training
*Flask for web-based interface

Future Goals:

*Expand dataset to cover more plant species and diseases
*Integrate with mobile platforms for field-based disease monitoring
*Explore cloud deployment for broader accessibility

Full Name

Pranaw Kumar

Participant Role

Contributor in GSSOC-extd and HacktoberFest

[github-actions]

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[github-actions]

✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!

[github-actions]

✅ This issue has been closed. Thank you for your contribution! If you have any further questions or issues, feel free to join our community on Discord to discuss more!