PlantCare AI – Crop Disease Detection
Personal Project
Machine Learning
Mobile App
Project Overview
A cross-platform app that detects 27 crop diseases across 9 crops using a custom CNN model.
Built a full mobile AI system enabling farmers to instantly diagnose crop diseases using their phone camera. Developed custom CNN models and optimized inference for mobile devices.
Features
- AI-powered image classification
- Covers 27 diseases and 9 crops
- Microservices-based backend
- Fast mobile inference
Key Outcomes
- Achieved 91% accuracy across multiple models
- Models optimized using DenseNet121, ResNet50, and VGG16
Tech Stack
React NativeFlaskPythonTensorFlowNode.js