SMART CAMPUS TRAINING SYSTEM Servi: A Location-Based On-Demand Platform for Connecting Households with Nearby Non-Employed Engineers for Home Appliance Services
Author
Ms. Hemlatha M A, Girish Balaji V S, Monesh S, Jeeva Williams A, Gokul M
Abstract
Household appliances and fittings such as taps, switches, fans and furniture frequently develop small faults that need quick attention. Finding a reliable technician for such minor repairs is often slow and uncertain, while many trained engineers and diploma holders remain without regular employment. To address both problems, this project presents the Smart Campus Training System, implemented as a mobile-friendly application named Servi, which connects households with nearby non-employed engineers who can earn an income by providing short, local repair services.
The proposed system follows the working idea of ride-hailing applications such as Rapido. A customer signs in, chooses a service such as plumber, electrician or carpenter, and views the nearest available professionals with their distance and estimated arrival time. A short description of the problem is sent as a request. The service provider receives the request, ordered nearest first, and may accept or decline it. After acceptance, the customer can track the request status and call the provider, while the provider can view the route on a map and open it in Google Maps. The job is then marked as completed.
Because the nearest provider is selected, travel time is kept short and customers do not have to wait for long periods. The prototype was exercised through a complete request cycle, in which a plumbing request raised from a customer account was accepted by a provider located 0.07 km away, with an estimated arrival time of about one minute. The results demonstrate the working of the main workflow in the prototype; wider testing with real users is still required.
Keywords
Smart Campus Training System, Servi, On-Demand Services, Location-Based Matching, Nearest Provider, Home Services, Service Provider Tracking, OpenStreetMap.
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References
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