Android based System for Domestic Services

International Journal of Computer Trends and Technology (IJCTT)          
© 2019 by IJCTT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : S Rachitha ,SanjanaSathish,Shruthi S,Vismitha,Ambika V
DOI :  10.14445/22312803/IJCTT-V67I5P118


MLA Style:S Rachitha ,SanjanaSathish,Shruthi S,Vismitha,Ambika V"Android based System for Domestic Services" International Journal of Computer Trends and Technology 67.5 (2019): 104-108.

APA Style:S Rachitha ,SanjanaSathish,Shruthi S,Vismitha,Ambika V (2019). Android based System for Domestic Services International Journal of Computer Trends and Technology, 67(5), 104-108.

Handyman services are in the constant need around the world. Domestic service industries have seen quick growth by enabling customers to get access to their services through web based interfaces. A large number of inventive systems have been designed to embrace consumer demands and establish a marketplace. These services provide service professionals an opportunity to connect to the customers at their homes and a way to earn additional income streams. This fine grained perspective for service reporting and recognition increases a user`s productivity to perform service searches. This new option allows people to shoulder projects on their own, assuming that, if they were to encounter any issues, they can contact a service professional in real-time from another location to assist them in fixing the issue. Service providers and their area of expertise is disclosed in the system enabling potential clients to verify if relevant, local handymen are available to fix any issues.Deploying web applications in the cloud reduces operational cost and infrastructure overhead and thereby helps to focus on application development.It also enables resources to scale up to meet the increasing demand and helps the application to autoscale thus help in maintaining steady and predictable performance at a lower cost.

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Handyman services,Web based interface, Service professionals, cloud deployment, auto scale