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)
The exponential growth of India's gig economy has created an urgent need for specialized digital platforms that can effectively bridge the gap between freelancers and employers while addressing region-specific challenges. This paper presents the comprehensive design, development, and implementation of a freelancing platform specifically tailored for the Indian market. Unlike existing global platforms that impose high service fees and lack localized features, our proposed system integrates an escrow-based payment mechanism, AI-driven job matching, and culturally relevant user interfaces to ensure secure transactions and enhanced user experience. Built using modern web technologies including React.js, Node.js, Express.js, and PostgreSQL, the platform addresses critical issues such as payment security, trust building, and accessibility for diverse user demographics. The system incorporates advanced features including real-time communication, comprehensive portfolio management, intelligent project bidding, and data-driven analytics to optimize freelancer-employer matching. Through rigorous testing and evaluation, the platform demonstrates significant improvements in transaction security, user engagement, and overall marketplace efficiency, contributing to the sustainable growth of India's digital freelancing ecosystem.
Keywords:
Freelancing Platform, Indian Gig Economy, Escrow Payment System, Digital Marketplace, MERN Stack, AI-Driven Matching, Secure Transactions, Portfolio Management
Cite Article:
"Hire_Work", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.a825-a831, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511096.pdf
Downloads:
000224
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