Freelance Marketplace Platform with Profile Verification Bidding and Dispute Resolution
DOI:
https://doi.org/10.64751/kfpzmf60Abstract
The rapid growth of digital freelancing has transformed the way clients and skilled professionals collaborate across geographical boundaries, creating new opportunities for remote employment and global service delivery. However, existing freelance marketplaces continue to face several challenges, including fake user accounts, unverified freelancer profiles, fraudulent job postings, non-transparent bidding processes, and inefficient job allocation mechanisms. These issues reduce platform reliability, increase the risk of scams, and weaken trust between clients and freelancers. Additionally, the absence of structured verification, secure communication, and effective dispute handling often leads to conflicts, delayed project completion, and poor user experience. These limitations highlight the need for a secure and transparent freelancing platform that ensures authenticated participation and efficient project management. The proposed Freelance Marketplace Platform with Profile Verification, Bidding, and Dispute Resolution (FMP-PVBDR) introduces a centralized webbased solution that implements Role-Based Access Control (RBAC) to support administrators, clients, and freelancers. Newly registered users undergo administrative verification before accessing platform services, ensuring profile authenticity and minimizing fraudulent activities. Clients can post project requirements with budget details, while freelancers submit competitive bids based on pricing and estimated completion time. Developed using React JS for the frontend, Django REST Framework for backend API development, and MySQL for data management, the platform provides secure communication, structured bidding, and efficient project coordination. Its modular architecture supports future enhancements, including online payment integration, dispute resolution, freelancer ratings, and performance evaluation, thereby improving transparency, operational efficiency, scalability, and user confidence in digital freelancing ecosystems.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.







