Abstract
This project aims to develop an object detection system using TensorFlow.js, a JavaScript library for building and training machine learning models in the browser or Node.js environment. Object detection is a critical task in computer vision, with various applications such as image and video analysis, robotics, and autonomous driving. The proposed system uses a pre-trained deep learning model such as MobileNet or ResNet as the feature extractor, and applies the Single Shot MultiBox Detector (SSD) algorithm for object detection. The system is trained and fine-tuned on a custom dataset, and the resulting model is integrated with a web-based user interface for real-time object detection. The performance of the system is evaluated on a test set and compared with existing object detection models
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