Multi-Agent Research & Intelligence System
Build a multi-agent system for web research, analysis and report generation with real-time data.
Build a multi-agent system for web research, analysis and report generation with real-time data. Implement it step by step, deploy it, publish it on GitHub and prepare to explain it confidently in interviews.
Digital product · 12 months access · Non-refundable after purchase
AI Research Assistant
Complete Source Code
Clean and documented
Deployment Guide
Step-by-step process
Resume Points
Ready-to-use for your resume
Interview Questions
With detailed explanations
What You'll Learn
Gain practical experience building a production-ready AI system, from architecture to deployment.
- Core Multi-Agent Research concepts and when to apply them in real projects
- Practical Agents implementation techniques
- Practical Web Search implementation techniques
- Practical LangGraph implementation techniques
- Structuring a clean, production-style Python project
- Building an interactive Streamlit application
- Deploying the application to the cloud
- Explaining the project architecture confidently in interviews
Technologies Used
- Python
- Agents
- Web Search
- LangGraph
- Streamlit
- Cloud Deployment
Project Architecture
Understand how the complete system components work together.
User
Application Layer
Agent Orchestrator
Agents
Tools & Knowledge
Synthesis
Output
Project Demo
See the final application in action.
Preview of the final application you'll build.
- 3 Lessons · ~45 Mins
- 1. Project Overview15 min
- 2. Real-World Use Cases8 min
- 3. Final Architecture Walkthrough15 min