Gen AI Project 1- MultiAgent Change Detection

This project takes you deep into how real enterprise systems detect, validate, and sync data changes automatically- using Multi-Agent AI architecture instead of brittle scripts and cron jobs.

You’ll build a Multi-Agent Change Detection System that monitors a source system (like an ERP or transactional database), detects changes in real time, validates them intelligently, and pushes updates to the correct destination system—just like large-scale data migration and synchronization pipelines used in enterprises.

The project is inspired by a real internal system used inside an enterprise environment, making it highly practical, interview-relevant, and production-focused.

What You Will Build

You’ll implement a three-agent orchestration architecture:

🔹 Source Agent

1. Continuously monitors the source database
2. Detects inserts, updates, and changes
3. Emits structured change events

🔹 Destination Agent

1. Receives detected changes
2. Validates incoming data
3. Identifies the correct target database/system
4. Inserts or updates records safely

🔹 Orchestrator Agent (Manager Agent)

1. Acts as the central brain
2. Decides which agent runs, when, and in what order
3. Mimics real enterprise team workflows

Core Technologies & Concepts

1. Multi-Agent Orchestration using LLMs
2. Model Context Protocol (MCP) for tool decoupling
3. LLMs as decision-makers (not hardcoded workflows)
4. Distributed tool servers for scalability
5. JSON-RPC based agent–tool communication
6. Enterprise-grade Change Data Capture (CDC) patterns

Why This Project Matters

✔ Solves real enterprise pain points like tight coupling and SPOF

✔ Demonstrates scalable GenAI system design

✔ Shows how enterprises move beyond rigid ETL scripts

✔ Covers MCP-based architectures—a hot interview topic

✔ Perfect for GenAI Engineers, Backend Engineers, and Data Engineers

Who This Is For

1. Engineers transitioning into GenAI & Agentic Systems
2. Backend / Platform Engineers working with data pipelines
3. Anyone preparing for senior or enterprise-level interviews
4. Builders who want real projects, not toy demos

This is not a beginner demo.

It’s a production-style, enterprise-grade system designed to teach how modern AI agents replace traditional data workflows.