This agricultural AI project uses Convolutional Neural Networks (CNN) to evaluate fruit ripeness in real-time. By capturing a photo through an Android application or web portal, users can instantly determine if a fruit is unripe, ripe, or overripe, with estimated shelf-life.
Core Features & Functions
Real-time camera scanner with custom bounding boxes
Image pre-processing & color histogram extraction
CNN Deep Learning Model (TensorFlow/Keras) integration
Agri-management dashboard with shelf-life suggestions
