Build Your Own AI Money Coach in Python (Streamlit + Google ADK) | Sharad Khare

This tutorial demonstrates building WealthForge AI, a multi-agent financial coaching application using Google ADK and Streamlit. The system features three specialized agents powered by Gemini that work collaboratively to provide personalized financial guidance. The project combines Python, Streamlit for the UI, and Google's Agent Development Kit to create an intelligent money coach that can analyze financial situations and offer tailored advice.

Key Points

• •Use Google ADK (Agent Development Kit) to build multi-agent systems with Gemini as the LLM backbone
• •Implement three specialized financial agents that collaborate to provide comprehensive money coaching
• •Leverage Streamlit for rapid UI development and real-time agent interaction visualization
• •Design agents with specific roles (e.g., budget analysis, investment strategy, debt management) for focused expertise
• •Integrate Gemini API for natural language understanding and financial reasoning capabilities
• •Create agent communication patterns where specialized agents share insights and coordinate responses
• •Build a conversational interface that maintains context across multiple agent interactions
• •Structure the application to handle financial data securely while providing personalized recommendations

Workflow Diagram

Concepts