This paper presents a real-time, app-based robot monitoring system capable of detecting operational anomaliesandproviding live video streaming for enhanced supervision. The proposed system integrates sensors and a camera moduleontherobot, which continuously transmit performance metrics and visual data to a custom-built mobile application via Wi- Fi ortheinternet. The robot integrates a metal detector and gas/smoke sensing array with a 1080p camera to detect suspiciousmetallicobjects and hazardous atmospheres while streaming live video to a secure mobile application. Experiments incontrolledenvironments demonstrate reliable detection of simulated anomalies, low-latency streaming over typical wireless links, andeffective alerting via the app. The paper outlines hardware selection, software architecture, anomaly detection logic, and considerations for secureremoteoperation. This work aims to provide a practical, user-centric tool for first responders, security teams, and field operators who require fast, remote reconnaissance of hazardous environments. This paper aims to improve robotic safety, prevent system failures, and enhance remote operability in war fields and rescue missions. With its mobile technology and real-time analytics, the system offers a scalable and user-friendly approach to next-generation robotic monitoring. Keywords: Robot Monitoring, Anomaly Detection, Live Streaming, IoT, War-Field Surveillance