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AI-Powered Multi-Agent Trading Floor using Model Context Protocol (MCP)
This video showcases my Term Project 3 submitted as part of the B.Sc. (Honours) Data Science & Artificial Intelligence programme at IIT Guwahati. The project demonstrates an AI-powered Multi-Agent Trading Floor where multiple AI traders analyze market data, interact with backend services using the Model Context Protocol (MCP), and make intelligent trading decisions in a simulated environment.
The application is built using Python, FastAPI, React, TypeScript, SQLite, and MCP, with Pushover API integration for real-time notifications. In this video, I explain the project architecture, technologies used, code implementation, execution process, and a live demonstration of the complete system.
#IITGuwahati #ArtificialIntelligence #DataScience #MultiAgentAI #MCP #FastAPI #ReactJS #Python #LLM #AITrading #TypeScript #SoftwareEngineering #TermProject
Видео AI-Powered Multi-Agent Trading Floor using Model Context Protocol (MCP) канала Naman
The application is built using Python, FastAPI, React, TypeScript, SQLite, and MCP, with Pushover API integration for real-time notifications. In this video, I explain the project architecture, technologies used, code implementation, execution process, and a live demonstration of the complete system.
#IITGuwahati #ArtificialIntelligence #DataScience #MultiAgentAI #MCP #FastAPI #ReactJS #Python #LLM #AITrading #TypeScript #SoftwareEngineering #TermProject
Видео AI-Powered Multi-Agent Trading Floor using Model Context Protocol (MCP) канала Naman
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