1.Obstacle Detection For Blind People * The main objective of this project is to develop a system that can assist blind people in object detection using the YOLO algorithm and Raspberry Pi. The system will uses a camera module attached to the Raspberry Pi to capture images, which will be analyzed in real-time using the YOLO algorithm for the detection of objects. * Python programming language is used 2.Malicious Url Extraction & Detection From Text Using Machine Learning Techniques. *Machine learning techniques offer a promising approach to automatically extract and detect malicious URLs from textual content. These techniques involve training models on labeled datasets containing both malicious and benign URLs, enabling them to learn patterns and features that distinguish between the two categories.
