My-Driver-AI Powered Emergency Driver Booking App

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Aniket Mane
Hrushikesh Kedar
Samarth Harde
Swapnil Repale
Harshad Tejankar

Abstract

My-Driver is an AI-powered emergency driver booking application developed to provide instant and reliable driver assistance during critical situations such as medical emergencies, late-night travel, or sudden driver unavailability. The app uses artificial intelligence to detect the user’s location, analyse urgency, and assign the nearest verified driver automatically.


Features like real-time tracking, voice-based booking, and safety alerts ensure secure and efficient service. By integrating AI and smart mobility, My-Driver delivers a fast, safe, and intelligent solution for users in urgent need of transportation.


The rapid advancement of ride-hailing platforms has transformed urban mobility; however, existing systems primarily offer bundled services combining both driver and vehicle. This paper introduces a novel Driver-as-a-Service (DaaS) platform that enables vehicle owners to hire drivers for their personal cars. The proposed system leverages artificial intelligence for intelligent driver matching, real-time tracking using WebSocket communication, and a transparent two-phase time-based fare model. Additionally, it supports multi-stop rides and incorporates a rule-based voice interface for seamless booking without external dependencies. The system is built on a scalable three-tier architecture using React, FastAPI, and PostgreSQL. Experimental results demonstrate low-latency performance, efficient driver allocation, and high pricing transparency. The proposed approach addresses key limitations of traditional ride-hailing systems and provides a flexible, reliable, and user-centric mobility solution.


 

Article Details

How to Cite
Mane, A., Kedar, H., Harde, S., Repale, S., & Tejankar, H. (2026). My-Driver-AI Powered Emergency Driver Booking App. International Journal on Advanced Computer Theory and Engineering, 15(2S), 223–229. Retrieved from https://journals.mriindia.com/index.php/ijacte/article/view/2997
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Articles

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