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Build a Lunar New Year Game with CrewAI Multi-Agent System

Build an interactive Gradio web app powered by CrewAI and GPT-4o-mini multi-agent AI to create a Lunar New Year red pocket game testing cultural knowledge across China, Korea, North America etc. Use CrewAI to orchestrate three agents, Family Matriarch, Cultural Historian, and Family Chat Simulator, delivering accurate trivia with family interactions. Implement traditional red pocket money distribution, design festive red-and-gold UI, and build a game engine tracking player progress. Create a shareable celebration app combining AI-powered cultural education with authentic holiday traditions.

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Guided Project

Artificial Intelligence

3.0
(1 Review)

At a Glance

Build an interactive Gradio web app powered by CrewAI and GPT-4o-mini multi-agent AI to create a Lunar New Year red pocket game testing cultural knowledge across China, Korea, North America etc. Use CrewAI to orchestrate three agents, Family Matriarch, Cultural Historian, and Family Chat Simulator, delivering accurate trivia with family interactions. Implement traditional red pocket money distribution, design festive red-and-gold UI, and build a game engine tracking player progress. Create a shareable celebration app combining AI-powered cultural education with authentic holiday traditions.

Have you ever wondered how families across Asia turn Lunar New Year celebrations into playful competitions for lucky money? Red pocket scrambles are a beloved tradition where relatives race to answer trivia questions to claim their share of digital hongbao. In this project, you'll build an AI-powered Lunar New Year game that combines cultural education with authentic holiday traditions. By orchestrating multiple GPT-4o-mini agents through CrewAI, you'll create a system where a Family Matriarch generates questions, a Cultural Historian ensures accuracy, and a Family Chat Simulator brings the experience to life with realistic reactions. Along the way, you'll gain hands-on experience with multi-agent AI architecture, Gradio web interface design, and implementing game mechanics that mirror real-world cultural practices.

What You'll Learn

By the end of this project, you will be able to:
  • Build multi-agent AI systems with CrewAI: Orchestrate specialized GPT-4o-mini agents that collaborate to generate, verify, and enhance content quality.
  • Design culturally authentic game mechanics: Implement the traditional red pocket money distribution algorithm that randomly divides winnings among players.
  • Create festive web interfaces with Gradio: Develop an interactive app featuring custom CSS styling, state management, and dynamic UI updates.
  • Apply AI to cultural education: Learn how specialized agents can deliver region-specific content about Mainland China, Vietnam, Korea, and North American Lunar New Year traditions.

Who Should Enroll

  • Python developers interested in building AI-powered educational games and cultural applications.
  • Educators and language instructors looking to create interactive tools for teaching Asian traditions and customs.
  • Students and researchers exploring multi-agent systems and practical LLM applications beyond chatbots.

Why Enroll

This project demonstrates how multi-agent AI architecture creates more robust and engaging applications than single-model approaches. Instead of relying on one AI to generate questions, verify accuracy, and simulate conversations, you'll see how specialized agents working together produce higher-quality, culturally authentic content. By the end, you'll have a shareable Lunar New Year celebration app, practical experience with CrewAI and GPT-4o-mini, and a deeper understanding of how to build AI systems that respect and celebrate cultural diversity.


What You'll Need

To get the most out of this project, you should have:
  • Basic Python programming knowledge.
  • Interest in cultural education or game development.
All dependencies are pre-configured in the environment, and the project runs best on current versions of Chrome, Edge, Firefox, or Safari.

Estimated Effort

50 Minutes

Level

Beginner

Skills You Will Learn

Agentic AI, AI Agents, Artificial Intelligence, CrewAI, LLM, Python

Language

English

Course Code

GPXX0RAIEN

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