AI Based Barter Exchange Platform
Dr. Mona Mulchandani
Dean Academics, Jhulelal Institute Of Technology
Nagpur, India mona.mulchandani@gmail.c om
Aditya Kadu
Department Computer Science and Engineering
Jhulelal Institute Of Technology
Nagpur, India adityakadu146@gmail.com
Rahul Hulke
Department Computer Science and Engineering
Jhulelal Institute Of Technology Nagpur, India rahulke2004@gmail.com
Takshilukey
Department Computer Science and Engineering
Jhulelal Institute Of Technology Nagpur, India takshilukey07@gmail.com
Ayush Chachane
Department Computer Science and
Engineering
Jhulelal Institute Of Technology
Nagpur, India chachaneayush10@gmail.com
Piyush Kapse
Department Computer Science and
Engineering
Jhulelal Institute Of Technology Nagpur, India piyushkapse47@gmail.com
Abstract- In a world where people are more connected online than ever and technology is developing at an astonishing rate, the way we exchange value is also evolving. There are now more options than just traditional money-based transactions; new systems are appearing that enable more inventive and flexible trading. Thanks to digital innovation, bartering one of the oldest forms of trade is unexpectedly making a resurgence. The concept and design of an AI-powered barter exchange platform that facilitates seamless, wise, and reliable trade between people, communities, and businesses are presented in this paper.
Long-term user confidence is increased through the integration of blockchain technology to produce transaction records that are safe, transparent, and unchangeable. The AI-powered system automatically evaluates user listings, categorizes goods and services, and uses dynamic valuation models to determine fair value. Transparent and accurate value assessments are generated by these models using condition-based scoring, demand and supply trends, user behavior patterns, and historical trade data. In doing so, the platform facilitates more equitable transactions and lessens disputes over perceived value. The platform's intelligent recommendation engine evaluates a number of variables, including relevance, value compatibility, location, urgency, and user behavior, to determine the best barter matches. The system even facilitates chain and multi-party bartering, which raises the likelihood of successful transactions in situations where one-on-one interactions aren't feasible.
Keywords— AI-based Barter Exchange Platform; Artificial Intelligence; Barter System; Digital Bartering; Intelligent Exchange System; Machine Learning Algorithms; Automated Matching Engine; Recommendation System; Multi-party Barter; Chain Barter Optimization.
