AI Voice Assistance for Safe and Independent Mobility of Older Adults in Cities

Authors: M.A. Chaudhari, Nehulkar Aditi Abhay, Shirude Mayuri Yogesh, Tangadkar Payal Rajesh, Sonawane Pooja Sakahari

Country: India

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Abstract: The Voice Assistant Mobile Application is developed to enhance daily travel convenience and personal safety through hands-free interaction. Built using Flutter for cross-platform support on Android and iOS devices, the app integrates modern technologies such as voice recognition, real-time navigation, multilingual communication, and smart safety alerts. Users can log in using traditional or biometric authentication and set an emergency contact to ensure immediate assistance during critical situations. The application provides voice-controlled navigation with turn-by-turn guidance while eliminating the need for manual inputs on the screen. Additionally, built-in motion sensors such as the accelerometer and gyroscope detect sudden falls or abnormal movements, triggering alerts to the emergency contact if needed. With its combination of safety features and intelligent navigation, the app serves as a practical, reliable, and accessible companion for everyday travel, especially for users requiring enhanced mobility support.

Keywords: Voice Assistant, Mobile Navigation, Flutter, Real-Time Location Tracking, Personal Safety, Biometric Authentication, Voice Recognition, Emergency Alert System, Fall Detection.

Paper Id: 233081

Published On: 2026-04-27

Published In: Volume 14, Issue 2, March-April 2026

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