• Developed an advanced system for detecting bus damages and recognizing license plates by achieving an accuracy of 85% using Optical Character Recognition (OCR), OpenCV, Fast Region-Based Convolutional Neural Networks (Fast R-CNN) from CCTV of VVMT bus stations.• Leveraged Docker to containerize the application, ensuring consistent performance across different environments and simplifying deployment.