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In this video, you will learn how to build a real-world Multi-Agent AI system using Google ADK, step by step, by creating a Business Analyst AI Multiagent from scratch. This tutorial introduces the powerful concept of multiagentic systems in Generative AI, where multiple specialized AI agents collaborate to solve complex problems—just like a real software team. The entire explanation is delivered in Tamil, specifically designed for Tamil learners who want to learn AI, GenAI, and agent-based systems in their own language. This video focuses on building a Business Analyst Multiagentic System using Google Agent Development Kit (Google ADK), one of the most important emerging frameworks for developing agent-based AI applications. Instead of building a single monolithic AI, you’ll understand how to architect multiple intelligent agents such as a Business Analyst agent, BRD generator agent, BRD revision agent, user manual agent, use case acceptance criteria agent, and task chart agent, all coordinated through a central orchestrator. This reflects how modern enterprise-grade AI systems are designed and deployed. A major highlight of this video is that it does not stop at backend agent logic. You will also learn how to build a frontend using Streamlit, making the multiagent system interactive and usable like a real AI product. By the end of the video, you will clearly understand how user inputs flow from a Streamlit UI into Google ADK agents, how agents communicate with each other, and how the final output is generated collaboratively. This makes the tutorial extremely practical for developers, students, and professionals who want hands-on experience rather than theoretical knowledge. This video serves as an introduction to Multiagent Systems in GenAI, explaining why single-agent systems are limited and how multiagent architectures enable scalability, modularity, and better reasoning. If you are curious about how AI systems can break down complex business requirements into structured documents like BRDs, user manuals, and task charts automatically, this video will give you a clear mental model and working implementation. The Business Analyst AI built here mirrors real industry workflows, making it highly relevant for startups, SaaS builders, and AI engineers. The tutorial is especially valuable for Tamil-speaking learners, as there are very limited high-quality resources that explain advanced AI topics like multiagentic systems, Google ADK, and GenAI architecture in Tamil. This video bridges that gap by explaining every concept clearly, using simple language, real examples, and practical code walkthroughs. Whether you are a beginner in AI or an experienced developer looking to move into agent-based AI systems, this video is structured to give you maximum clarity. The complete working code used in this video is openly available on GitHub, making it easy for you to clone, run, and experiment on your own. You can explore the repository here: https://github.com/AdityaTheDev/Busin... . By following along with the code, you will gain confidence in building your own multiagent AI applications using Google ADK and Streamlit. This video is ideal for anyone searching for “Multiagent AI tutorial in Tamil,” “Google ADK tutorial,” “Business Analyst AI agent,” “GenAI in Tamil,” “AI agents explained,” or “How to build AI multiagent systems”. If your goal is to learn cutting-edge AI concepts while building something practical and industry-relevant, this video will give you exactly that. If you enjoy learning AI in Tamil, want more GenAI tutorials, and plan to build intelligent systems that go beyond simple chatbots, make sure to watch the video till the end, like, share, and subscribe to the channel. This is just the beginning of a deeper journey into agentic AI, LLM-powered systems, and real-world AI product development in Tamil. Code : https://github.com/AdityaTheDev/Busin... #pythonprogramming #python #ai #artificialintelligence #tamil #agents #agenticai #machinelearning #deeplearning #project #datascience #code #education #multiagent #genai #generativeai