A dual-headed deep learning model built using TensorFlow and Keras to classify fruit type (Apple, Banana, Guava, Orange) and their quality condition (Good or Bad) from images. The system includes Grad-CAM-based visual explanations and a responsive Streamlit web interface for real-time predictions using uploaded images or webcam input.
computer-vision deep-learning grad-cam opencv-python tensorflow2 xai-evaluation fruit-classification streamlit-webapp fruit-quality-computer-vision
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Updated
Jan 14, 2026 - Jupyter Notebook