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Varishta Rakshak: An AI-Based Comprehensive Web Framework for Ensuring Senior Citizen Care in Real Time

  • Shivam Ramesh Gupta,
  • Meet Nirmal Bohra,
  • Yashab Hanif Mahimi,
  • Rupesh Sheshnath Mishra,
  • Vishal Sahebrao Badgujar,
  • Kiran Deshpande,
  • Shradha Sanjay Birje

摘要

Fall poses a significant risk for elder adults as it is range from minor stumble to life threatening incident. Since falls are the primary reason of unintentional injury-related deaths in older adults, it’s important to locate ways to save you them. Machine learning can assist us to develop a fall detection and alert generation systems that can lessen damage. We propose a system using You Only Look Once (YOLO) a machine learning algorithm to detect fall patterns. By training the system on various images and videos of aged human beings doing day to day activity, including falling, it could apprehend falls in new visual contexts. As soon as a fall is detected, the system automatically sends a message to a family member or caregiver about the incident. Early detection of sudden falls allows for emergency responses, which can minimize injuries or prevent fatalities. This initiative aims to enhance elder safety and well-being by ensuring timely medical attention in case of such incidents.