International Research Journal of Engineering and Technology (IRJET) Volume: 12 Issue: 07 | Jul 2025
www.irjet.net
e-ISSN: 2395-0056 p-ISSN: 2395-0072
A Web Application for Nearby Garage Search Using Pre-Registered Data Pavan Rane1, Vickey Rathod2, Tulasi Raorane3 1B.E. Student, Dept. of Computer Science and Engineering (Artificial Intelligence and Machine Learning), S.S.P.M’s
College of Engineering, Kankavli, Maharashtra, India
2B.E. Student, Dept. of Computer Science and Engineering (Artificial Intelligence and Machine Learning), S.S.P.M’s 3
College of Engineering, Kankavli, Maharashtra, India B.E. Student, Dept. of Computer Science and Engineering (Artificial Intelligence and Machine Learning), S.S.P.M’s College of Engineering, Kankavli, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Finding nearby garages quickly is a common
either their device’s location or manually entered data. The platform is designed using a modern technology stack that includes React.js for an intuitive user interface and Supabase as a backend solution for secure and scalable data storage. This approach provides an inclusive, browser-based tool that simplifies the process of locating vehicle repair services and improves overall service discovery
challenge for vehicle owners, especially in unfamiliar locations. This paper presents a web-based solution for identifying nearby garages using pre-registered location data. Users can search for garages based on proximity while mechanics can register their garages, entering service details and location coordinates manually. The system is built using modern web technologies such as React.js for the frontend and Supabase as the backend service, enabling efficient data handling without relying on external services like Google Maps API. This approach enhances accessibility, reduces search time, and promotes convenience for vehicle maintenance services.
2. LITERATURE REVIEW [1] The paper “A Car Breakdown Service Station Locator System” by Neelima Sutar et al. introduces a garage locator system that helps users find nearby service stations efficiently. It registers garages with their facilities and contact details while using Google Places API to fetch real-time location-based results. The system automates the search process, reducing manual effort and saving time during vehicle breakdowns. By leveraging geospatial technologies, it ensures accurate and relevant garage recommendations. This approach enhances emergency assistance, making vehicle service access more efficient and user-friendly.
Key Words: Nearby Garage Locator site, Vehicle Maintenance Service, Google Maps API Alternative, React.js, Supabase.
1.INTRODUCTION In the modern era of smart technology, the need for efficient vehicle maintenance services has increased significantly. Vehicle owners often face difficulties in locating nearby garages, particularly when traveling in unfamiliar areas. Traditional approaches like verbal recommendations or manually searching through maps are no longer practical in a fast-paced, digital environment. As a result, there is growing demand for platforms that can offer convenient and reliable access to nearby repair services.
[2] The paper “Emergency Break down Services using Android Application” by Varun Kapadi et al. presents a mobile application that helps users locate nearby garages, hospitals, petrol pumps, and police stations using Google Maps and GPS. It fetches real-time location data and integrates Google Play Services for seamless tracking and authentication. The system requires specific permissions and an API key to enable accurate location retrieval. A search mod ule using JSON and marker classes allows users to find and navigate to nearby services easily. This application enhances emergency response by providing quick and efficient access to essential services.
Existing solutions often rely heavily on APIs such as Google Maps, which come with limitations like usage costs, dependency on third-party services, and the need for constant internet connectivity. Moreover, many such systems are mobile-exclusive or focus narrowly on emergency breakdown situations. This paper addresses these limitations by proposing a flexible and cost-effective web application that functions independently of external APIs, using pre-registered garage data to deliver locationbased search results.
[3] This study explores a system that uses IoT sensors to monitor vehicle performance and predict maintenance needs. Predictive algorithms analyze real-time data to prevent breakdowns and optimize service schedules. This approach enhances vehicle reliability, reduces costs, and improves maintenance efficiency. [4] A system is designed to assist travelers during emergencies by providing real-time navigation to essential services. It utilizes GPS technology to locate nearby fuel stations, hospitals, and service centers. With integrated mapping and tracking features, users can quickly find
The proposed application allows mechanics to register their garage details—including latitude and longitude coordinates—and users to search for nearby garages using
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