MangoMediX 🌿 – AI-powered mango leaf disease prediction system using ResNet50, Flask, and a user-friendly web interface. Detects 8 mango leaf diseases with 92% accuracy and provides treatment suggestions.
- Updated
- JavaScript
![]() |
VOOZH | about |
MangoMediX 🌿 – AI-powered mango leaf disease prediction system using ResNet50, Flask, and a user-friendly web interface. Detects 8 mango leaf diseases with 92% accuracy and provides treatment suggestions.
This project implements a real-time mango tree disease detection and targeted irrigation system. The solution leverages image processing, machine learning, and hardware automation to detect diseases in mango leaves and provide precise irrigation to affected areas.
🥭 MangiferaNet: A Deep Learning-based web application for diagnosing mango leaf diseases using MobileNetV2 and Streamlit.
Add a description, image, and links to the mango-disease-detection topic page so that developers can more easily learn about it.
To associate your repository with the mango-disease-detection topic, visit your repo's landing page and select "manage topics."