🌿 PlantCare: Cauliflower Disease Detection Using YOLOv8

PlantCare is a mobile application that detects cauliflower plant diseases using YOLOv8 deep learning models.

This project was developed as a college minor project at Pashchimanchal Campus, Institute of Engineering, Tribhuvan University by:

• Ashish Sigdel (me)
• Indra Prasad Sapkota
• Sijan Paudel
• Sneha Chhetri

Key Functionalities

• Real-time disease detection via YOLOv8 model
• Multi-language UI with audio output
• Secure authentication and user history
• Cloud-based inference and data storage
• Disease details with preventive measures and cure suggestions

Results:

YOLOv8s achieved Precision 34.4%, Recall 31.9%, and mAP@50 28.1%, proving effective for early-stage disease detection in local crops.

Tech Stack: React Native, Node.js, Flask, YOLOv8, Cloudinary

Preview