The demand for an advanced healthcare system is growing at an unparalleled pace in this modern age where population and life expectancy are constantly increasing. In the public healthcare sector, fall detection is a major challenge, particularly for the elderly as the decrease in their physical condition timely and using ambient methods to reduce the negative effects of falls. Problem description, i.e. problems with existing solutions (intrusive - need to wear device, uses camera - no privacy). This project is developing a new version of fall detection in a non-intrusive way. The system will monitor the movements of the human body, recognizes a decline in regular daily and sends a request for assistance to the caregivers at the patient's place or other places. (In this project, an Internet of Things (IoT) based non-intrusive fall detection system is proposed and designed for the elderly. Fallert is a combination of the fall and alert, which symbolizes the fall detection and alert. In monitoring the elderly�s life, a reliable and effective fall detection system can be one of a good alternative. The motion and appearance of the elderly, detectable by the sensors, is another objective should be achieved. With the consciousness of the elderly falls, the guardian reaches out to the emergency medical assistance services. In addition, there is a variable feature in the mobile application will be added to gives satisfaction to the user. By creating a non-intrusive fall detection device, the primary goal should be accomplished.