EmergiFy: Development of a Real-Time Mobile Emergency Alert System

In emergencies, timely response and situational awareness are critical, yet traditional systems often face delays, inaccurate tracking, and limited real-time risk assessment. This paper introduces EmergiFy, an AI-driven emergency response application using deep learning to augment public safety. Its principal contribution is a risk categorization model that dynamically assesses areas, flagging them safe or unsafe based on current conditions, providing early warnings, steering users from danger, and assisting decision-making. EmergiFy also offers an AI-powered first aid companion for instant guidance when medical help is delayed, plus live GPS tracking, smart emergency routing, and a deep learning-driven automated SOS system for efficient response coordination. Combining predictive risk assessment, smart dispatch, and live aid, EmergiFy marks a leap in AI-based emergency management. This paper outlines the construction, structure, and possible implications of EmergiFy, and presents how it is efficient in increasing situational awareness and response.