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@article{206599,
        author = {Akshay and Dinesh Panduranga Naik and Shravan Kumar J},
        title = {Rapid Response System: A Smart Emergency System for Disabled Individuals},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {99-105},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206599},
        abstract = {The Rapid Response System is an innovative assistive technology solution developed to improve the independence, safety, and quality of life of individuals with disabilities. The system combines computer vision, gesture recognition, and emergency communication technologies to allow users to interact with computers and request assistance through facial movements and hand gestures. OpenCV and MediaPipe are used for real-time detection and tracking, while Flask serves as the backend framework for processing requests and integrating external communication services such as Twilio and Telegram. The system provides emergency alerts, caregiver notifications, and assistance requests such as food, water, lighting control, and washroom support. By supporting both fully disabled and partially disabled individuals, the system offers inclusive accessibility through face and hand gesture control mechanisms. Experimental analysis shows improved response time, reliability, and user interaction compared to traditional assistive methods. The proposed solution demonstrates the potential of integrating artificial intelligence and communication systems in assistive healthcare technologies.},
        keywords = {Assistive Technology, Computer Vision, Gesture Recognition, Emergency Communication, Flask Framework, MediaPipe, OpenCV, Twilio API, Telegram Bot, Disability Support.},
        month = {July},
        }