🌿 AI-Powered Crop Disease Detection Mobile Application (CropCare)
🚀 Watch CropCare – AI-Powered Crop Disease Detection App in Action!
Dive into CropCare, an AI-powered mobile application built to help farmers detect crop diseases instantly using leaf images. With a simple photo upload, users can get real-time disease predictions powered by a trained CNN deep learning model.
🌿 This project focuses on making agriculture smarter, faster, and more accessible using Artificial Intelligence and Mobile Technology.
🧠 Core Features:
AI-based crop disease detection (Potato, Bean, Tomato)
Real-time leaf image classification using CNN
Simple and user-friendly mobile interface
Fast and accurate prediction system
Cloud-based image handling and storage
🛠 Tech Stack Highlights:
Flutter • Python • TensorFlow • Keras • CNN (Deep Learning) • MongoDB • Cloud Storage
🎯 Project Goal:
To support farmers with early disease detection and improve crop productivity using AI-powered mobile solutions.
🔗 Check out the Code & Portfolio:
📦 Project Repo:
https://github.com/HiruniWijerathna/C...
🌐 Portfolio:
https://hiruniwijerathna.vercel.app/
#ai #machinelearning #deeplearning #flutter #python #tensorflow #keras #cropcare #smartfarming #agritech #mobileappdevelopment #cnn #computervision #finalyearprojects #portfolio #webdevelopment #techshowcase #innovation #aiinagriculture