Smart Assistance System for On-Road Vehicle Failures Using Python Django
Suresh Manjunath Valmiki Manjunath Valmiki
Paper Contents
Abstract
ABSTRACT Roadway vehicle breakdowns tend to result in delays, safety hazards, and logistical nightmares for drivers. Conventional roadside assistance solutions are dependent on manual reporting and restricted service coverage, leading to low response speeds This work presents a web-based intelligent breakdown assistance system that is powered by deep learning and location services to provide immediate, accurate, and user-friendly support., estimates the car damage recovery percentage from uploaded pictures so that drivers can determine repair viability prior to service involvement. The platform also includes critical towing and battery_jumpstart requests. Intigrating a Django platform with real_world mapping for service_providers, the system provides prompt assistance by linking users to the closest available mechanics or support services. 1.INTRODUCTION Roadside car breakdowns are a universal and largely unpredictable problem for drivers around the globe. Mechanical problems, electrical fault, and unexpected break_down can result in cars breaking down on the road, leading to hassle, monetary loss, and safety risks. Conventional roadside assistance networks largely use manual contact with service operators, which can mean lengthy response times and poor coverage in rural locations.Over the last few years, artificial intelligence (AI) and deep learning have made it possible to automate sophisticated vehicle damage recovery prediction. It is feasible to provide faster and better roadside assistance by integrating these technologies with web platforms and real-time location services.The current research suggests an On-Road Vehicle Breakdown Help System on the web integrating a Convolutional Neural Network trained model for the recovery_prediction of car damage recovery percent based on vehicle photo uploaded by users. The prediction assists the drivers in determining the level of damage and the possible repair quality prior to choosing a service. system provides active_emergency services like towing and jumpstart of a battery to offer complete roadside help.
Copyright
Copyright © 2025 Suresh Manjunath Valmiki. This is an open access article distributed under the Creative Commons Attribution License.