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  1. Equipment-Utilization-and-Activity-Classification Equipment-Utilization-and-Activity-Classification Public

    Real-time computer vision system for construction equipment analysis. Tracks utilization (Active/Inactive), classifies activities such as (Digging, Loading, Dumping), and computes working vs idle t…

    Jupyter Notebook

  2. Brain-Tumor-Segmentation-using-UNet Brain-Tumor-Segmentation-using-UNet Public

    Advanced brain tumor segmentation using pre-trained U-Net with ResNet34 encoder. Achieves 78% Dice score and 64% IoU on MRI images. Includes comprehensive fixes addressing common segmentation pitfa…

    Jupyter Notebook

  3. Leaf-Disease-Detection-via-Faster-RCNN Leaf-Disease-Detection-via-Faster-RCNN Public

    A complete deep learning implementation for detecting and localizing leaf diseases using Faster R-CNN with ResNet50 + FPN backbone. This project demonstrates the end-to-end pipeline for object dete…

    Jupyter Notebook

  4. Real-Time-Motion-Detection-System Real-Time-Motion-Detection-System Public

    A Python-based security system using OpenCV for real-time motion detection. It employs frame differencing and contour analysis to detect intruders, visualize movements with bounding boxes, and auto…

    Jupyter Notebook

  5. Automatic-License-Plate-Detection-and-Recognition Automatic-License-Plate-Detection-and-Recognition Public

    An end-to-end deep learning pipeline for automatic license plate detection and recognition from videos using YOLOv8 for object detection and EasyOCR for text extraction

    Jupyter Notebook

  6. Concrete-Crack-Segmentation-via-UNet Concrete-Crack-Segmentation-via-UNet Public

    AI-powered crack detection in concrete using UNet. Achieves 99.77% Dice score with automatic mask inversion and data augmentation. Includes Gradio web interface for easy deployment. Production-read…

    Jupyter Notebook