This project developed a wearable fall detection system targeted at elderly individuals to enhance their safety and independence. Employing machine learning algorithms, specifically neural networks, the system accurately differentiates between falls and normal daily activities. Integrated protective hip pads further safeguard users from fall-related injuries. Our research demonstrates high accuracy in fall detection, making this solution a promising tool for improving the quality of life for the elderly.