Description
Trade Hive is a barter system that is developed with Bee-Hive methodology using Multiagent system, in which each agent communicate with each other and work together (like bees )and have one central agent (Queen) that maintains everything.
Working
Purposed developing an innovative e-barter system to enable autonomous trading to make it more efficient item trading.
The goal was to design and implement the e-barter system, utilizing multiagent systems to interact with users and Advanced AI to evaluate the value of traded items and create a consistent platform.The project was divided into three main components; Multiagent system interface which is developed using python with development library CrewAI that formulate an hierarchical MAS with one master and clients and The reasoning and comparisons to evaluate the value of different items up for trade using knowledge base with semantic network and interface API using fastAPI in python to feed and interact with the system and user.
Results
The solution was successfully developed and deployed, allowing users to efficiently evaluate and trade items using AI-driven reasoning, and increase the usage of used items by almost 34%.
Source: [Trade Hive](https://www.twine.net/signin
- AI Developer
- Back-End Developer












