Abstract

Abstract: Road traffic accidents are one of the leading causes of death worldwide, with millions of people injured or killed each year. Many of these accidents occur in specific high-risk zones known as black spots. This paper presents the development of Black Spot Detection Android App, designed to alert users in real-time about accident-prone areas using the ECLAT algorithm for pattern recognition. The appendances public safety by providing features such as location-based alerts, mapping crime and accident hotspots, emergency response integration, and notifications about nearby police stations and tourist attractions. By utilizing historical accident data and continuously updating with user reports, the app serves both individual users and city planners. The paper explores theapp’s architecture, technical requirements, limitations, and future improvements.