CareerCoach Pro | Google ADK + Gemini + MCP | Kaggle Capstone Project

CareerCoach Pro is a Kaggle capstone project demonstrating a multi-agent AI system built with Google ADK, Gemini, and MCP protocols. The project showcases how to integrate multiple AI agents for career coaching, combining advanced language models with tool-use capabilities. It serves as a practical example of building production-ready AI agent architectures for real-world applications.

Key Points

• •Multi-agent architecture enables specialized agents to handle different career coaching tasks (resume review, interview prep, job search strategy)
• •Google ADK (Agent Development Kit) provides the foundational framework for building and orchestrating multiple AI agents
• •Gemini LLM powers the reasoning and conversational capabilities across all agents
• •MCP (Model Context Protocol) enables standardized communication and tool integration between agents
• •Tool-use capabilities allow agents to access external resources (job databases, resume parsers, interview question banks)
• •Agent coordination and state management ensure coherent multi-turn conversations across different coaching domains
• •Production-ready patterns demonstrated include error handling, context preservation, and agent fallback strategies
• •Integration with Kaggle platform provides accessible learning environment for AI agent development

Workflow Diagram

Concepts