Decentralized Freelancing Platform with Smart-Contract Escrow & AI Talent Matching

Abstract

In this paper, I introduce a decentralized freelancing site that combines blockchain-based smart-contract escrow with AI-based matching of talents to improve the level of trust, transparency, and efficiency in digital labor markets. Conventional freelancing models make use of centralized middlemen, which introduce vulnerability to the system in the form of payment conflicts, recommendations of jobs, manipulation of data and single point failure. The suggested system will resolve these concerns by implementing an unchanging Ethereum smart-contract escrow, which automates the processes of hiring, funds locking, and milestone payments without the involvement of third parties. The hybrid backend application with FastAPI, the SQLite data store, and the Web3 interaction provides the security of the requests processing and the state of the contract retrieval in real-time. Also, there is an AI ranking module with TF-IDF vectorization and cosine similarity that offers personalized matching of freelancers and jobs based on skill-relevant and experience characteristics. An up-to-date React/Tailwind frontend provides an easy user flow of posting jobs, hiring freelancers, depositing escrow funds, and approving task completion. Experimental analysis using live contract deployment shows that the transparency of transactions is more optimal, the probability of dispute is lower, and the accuracy of the matching is much higher. This site is an example of how the next-generation decentralized freelance ecosystems can be practiced.