AI Plant Disease Detection System (50+ Diseases) I built an AI-powered plant disease detection sy...AI Plant Disease Detection System (50+ Diseases) I built an AI-powered plant disease detection sy...
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AI Plant Disease Detection System (50+ Diseases) I built an AI-powered plant disease detection system that identifies over 50 diseases across 10 different crops using deep learning.
The system processes leaf images and returns accurate disease predictions with confidence scores, helping enable early diagnosis and reduce crop loss.
🌱 Supported Crops
Apple, Banana, Beans, Cassava, Grape, Groundnut, Maize, Potato, Rice, Tomato

πŸ”§ Key Features
Multi-model CNN architecture for crop-specific accuracy
Image preprocessing with OpenCV (noise/background removal)
Dataset balancing using over/under-sampling
REST API built with Flask for real-time predictions
Deployment-ready (Docker / cloud compatible)

πŸ“Š Performance Highlights
Up to 98% accuracy on several crops
Handles real-world dataset imbalance challenges
Optimized for practical agricultural use cases

βš™οΈ What this demonstrates
End-to-end ML system development
Computer vision expertise
API design and deployment readiness
Real-world problem solving with AI

πŸ’Ό What I can do for you
Build custom image classification systems
Develop AI APIs for real-time predictions
Create computer vision solutions for agriculture or industry
Optimize and deploy ML models

πŸ”— Code & Demo
Note: Full datasets and some model components are excluded.
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