SabzScan

About the Project

SabzScan is an AI-powered plant disease detection system developed as a Final Year Project (FYP). It uses deep learning models (CNN and MobileNet V2) to identify plant diseases from leaf images with 95% accuracy.

The system features a React-based web interface that allows farmers and agricultural professionals to upload plant images and receive instant disease diagnosis along with treatment recommendations.

Key Features

• Real-time plant disease detection from leaf images
• 95% accuracy using CNN & MobileNet V2
• User-friendly React web interface
• Instant diagnosis and treatment suggestions
• Support for multiple plant species
• Image preprocessing and augmentation pipeline

Tech Stack

My Role

As the lead developer, I was responsible for:

• Training and optimizing CNN & MobileNet V2 models
• Building the React front-end interface
• Developing the REST API backend
• Data collection and preprocessing
• Testing and deployment