The design and development of a Fall Detection System tailored for elderly citizens, integrating the Internet of Things (IoT) and location tracking technologies, signifies a significant stride in addressing the pressing challenge of fall-related incidents among the elderly population. With an aging demographic, the need for enhanced safety and timely assistance has become more critical than ever. Key components of this system include wearable sensors equipped with accelerometers and gyroscopes, meticulously designed to continuously monitor the user's movements. These sensors are connected to IoT devices, each equipped with wireless communication capabilities, facilitating real-time data transmission to a centralized server for analysis. The central server employs advanced algorithms to accurately detect falls while minimizing false alarms. A defining feature of this system is its capacity for location tracing, achieved through GPS or indoor positioning systems. This capability ensures that in the event of a fall, caregivers and emergency services are promptly apprised of the user's precise location, even if the individual cannot communicate their whereabouts. Rapid alerts are triggered, and designated contacts are notified, expediting emergency responses.