The document is a major project report submitted by 4 students for their Bachelor of Technology degree. It discusses developing a system to predict social distancing using OpenCV by detecting and tracking people in surveillance videos. The proposed framework would use YOLO v3 for object detection, Deepsort for tracking, and compute the pairwise distance between objects to check for social distancing violations based on WHO guidelines. The system is aimed to help prevent the spread of COVID-19 when social distancing is a key containment measure as no vaccine currently exists.