Prof. Chetna Upasani Samruddhi Shinde Ajinkya Mehetre Shruti Chaugule Rutuja Thigale

-Making sure the elderly are safe and well has become a top priority as the world's population ages. By creating a powerful Python Flask web application that uses recorded video and real-time camera feeds to monitor senior citizens in their homes, the "Smart Surveillance: Enhancing Elderly Safety" project seeks to solve this problem. The YOLO (You Only Look Once) object identification method, which is well-known for its accuracy and speed in real-time image processing, lies at the heart of the system. An important layer of protection for senior citizens will be provided by this algorithm, which will be used to identify a variety of abnormal actions, including falls and the presence of unauthorized people. The app will use the Pushbullet notification service to notify approved caregivers right away if it notices any unusual activity. With the help of this function, caregivers may react swiftly and efficiently by being instantly alerted of urgent circumstances. This real-time alert system's integration is intended to improve senior citizens' general safety and provide residents and their families peace of mind. In order to ensure accessibility and convenience of use, the web application will be created with user-friendly interfaces for both senior users and caregivers. Through this research, we hope to enhance older people's monitoring while simultaneously promoting their sense of security and independence in their day-to-day life.

https://doi.org/10.58357/jedcs.2025.v4.i1.13