The rapid growth of location-based services (LBS) has underscored the need for efficient, accurate, and scalable navigation solutions. Proximitybased navigation using beacon technology has emerged as a critical enabler in contexts ranging from indoor navigation to asset tracking.The development of proximity-based navigation systems has gained significant traction in recent years, especially with the advent of real-time beacon technology. "BeaconTrack" introduces an innovative approach to indoor and outdoor navigation by leveraging Bluetooth Low Energy (BLE) beacons for precise location tracking and real-time data updates. This paper explores the design, implementation, and practical applications of BeaconTrack, a system that addresses the limitations of traditional GPSbased navigation in environments where GPS signals are unreliable or unavailable, such as large buildings, underground facilities, and densely populated urban areas. The proposed system combines beacon technology, advanced algorithms, and mobile applications to provide accurate, efficient, and user-friendly navigation solutions. BeaconTrack uses a network of strategically placed BLE beacons, which transmit unique identifiers to nearby devices. These identifiers, when processed by a mobile application or central server, determine the user's location with high precision. The system integrates machine learning algorithms to enhance location accuracy by dynamically adjusting to environmental factors such as signal interference, obstacles, and varying beacon densities
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