The proposed project aims to develop an innovative software solution that enhances public safety while safeguarding individual privacy. This system integrates cutting-edge advancements in real-time video analysis, privacy-preserving activity recognition, and efficient edge device processing. By enabling real-time detection of human activities, anomalies, and potential threats in streaming videos, the solution facilitates timely responses to emergencies. It ensures privacy protection through anonymization and encryption techniques and supports deployment on resource-constrained devices such as smartphones and IoT systems. The project will focus on developing a user-friendly prototype, conducting iterative testing, and preparing for commercialization, ultimately delivering scalable, cost-effective technology with wide-reaching societal impact. The successful implementation will revolutionize video surveillance by addressing privacy concerns and enhancing public safety in diverse settings, from law enforcement to everyday environments.