This study focuses on the development of an AI-powered web application aimed at improving community-based disaster response and communication during fire and typhoon emergencies in Barangay 649, Baseco Port Area. The system integrates manual reporting with advanced technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) to support timely and informed decision-making. Residents and barangay officials can post real-time updates, while IoT sensors—such as temperature and humidity detectors—monitor environmental conditions that may indicate disaster risks. AI analyzes alerts, weather data, and sensor inputs to forecast emergencies, allowing residents to prepare by unplugging appliances, securing their homes, and taking necessary precautions. For typhoons, the system can predict flooding and strong winds, enabling early evacuation and damage mitigation. It also provides information on evacuation centers, safety reminders, and emergency contacts. Featuring separate dashboards for residents and administrators, the platform supports real-time communication, resource tracking, location-based reporting, and the accurate monitoring of evacuees for efficient relief distribution. The system has been highly requested by the barangay to reduce accidents and improve emergency information flow. Whether residents are inside or outside the barangay, they receive timely alerts that enhance preparedness and coordination. All data collected is handled in strict compliance with the Data Privacy Act of 2012, ensuring confidentiality and building trust among users. Initial implementation shows promise, though limitations include a small sample size and unstable network conditions that may affect real-time alerts. Overall, the system demonstrates significant potential to strengthen disaster resilience through technology-driven community engagement.