Skip to content
#

fruit-quality-computer-vision

Star

Here are 4 public repositories matching this topic...

arpanpramanik2003 / FruitQ-GradeX

Star 2

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
  • Updated Jan 14, 2026
  • Jupyter Notebook

kamaladhi / Shelf-life-of-fruits

Star 1

A data-driven fruit shelf life prediction system using computer vision and statistical modeling. The project analyzes aroma decay patterns and visual features to estimate spoilage timelines and optimize post-harvest storage and supply chain decisions.

data-science machine-learning computer-vision image-processing transformers prediction-model multimodal-deep-learning freshness-detection food-spoilage agri-tech food-waste-reduction post-harvest agriculture-ai fruit-quality-computer-vision shelf-life-prediction
  • Updated Nov 6, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the fruit-quality-computer-vision topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the fruit-quality-computer-vision topic, visit your repo's landing page and select "manage topics."

Learn more