Aftom-Ai is an intelligent surveillance automation platform designed to detect violations captured through CCTV cameras using machine learning and real-time data streaming. The system identifies abnormal or rule-breaking activities (such as unauthorized access, restricted zone entry, safety violations, etc.) and instantly notifies the respective CCTV system owner. The solution leverages machine learning for object and behavior detection, while real-time communication is facilitated through Apache Kafka and WebSockets. This enables immediate event alerts and live monitoring with near-zero latency.

This project involved developing an Internet of Things (IoT) solution for Shell to connect, monitor, and manage a large network of industrial and consumer devices. The system collects real-time device data, securely stores it, and processes it to generate meaningful insights for operational efficiency, predictive maintenance, and enhanced customer experience . AWS cloud services were at the core of the architecture, ensuring scalability, secure communication between devices, and efficient data analytics operations.