Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
he local service economy—encompassing trades such as plumbing, electrical repair, cleaning, and carpentry—remains largely fragmented, opaque, and inaccessible through digital means, particularly in semi-urban and rural communities. Existing platforms suffer from poor localization, insufficient trust mechanisms, complex interfaces, and high third-party commissions that discourage service provider participation. This paper presents Sarvam, a web-based local service discovery and booking platform developed to bridge the gap between users and nearby service professionals in a fast, secure, and transparent manner. Sarvam is built using React and TypeScript for a responsive, component-driven frontend, styled with Tailwind CSS and ShadCN UI, and powered by Supabase as a Backend-as-a-Service (BaaS) solution offering PostgreSQL-based data storage, OAuth authentication, and real-time data synchronization via the Supabase Realtime API. The platform features a zero-commission model for service providers, verified profiles, intelligent service filtering, real-time provider-user interaction, and transparent pricing. Evaluation of the system demonstrates improvements in service discovery efficiency, provider trust, and overall user satisfaction compared to existing solutions.
Keywords:
Local Service Discovery, Web Application, React, TypeScript, Supabase, PostgreSQL, Real-Time Platform, Zero-Commission Model, Service Marketplace, User Authentication, Tailwind CSS
Cite Article:
"Sarvam: A Web-Based Local Service Discovery and Booking Platform", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b325-b330, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604181.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator