Zoo Tour Guide AI Agent

Zoo Tour Guide is a smart multi-agent AI project built with Google ADK.
It researches animal-related questions using integrated tools and structured agent workflows.
Fast, friendly, and informative — designed to turn curiosity into engaging answers.

Description

A multi-agent Zoo Tour Guide built with Google ADK that researches animal-related queries using Wikipedia and returns friendly, well-formatted responses.

Features

• Built with Google ADK
• Sequential multi-agent workflow
• User prompt state management
• Wikipedia integration using LangChain
• Friendly formatted responses

Tech Stack

• Python
• Google ADK
• LangChain
• Wikipedia API Wrapper
• dotenv
• Google Cloud Logging

How It Works

1. The user enters a query
2. The prompt is saved in agent state
3. The researcher agent gathers information
4. The formatter agent creates a readable response

Installation

``bash git clone https://github.com/khalidlaiba151-sys/zoo-guide-ai-agent-.git cd zoo-guide-ai-agent- pip install -r requirements.txt Environment Variables: MODEL=your_model_name Run the Project: python agent.py File Structure: . ├── agent.py ├── .env ├── requirements.txt └── README.md

Screenshot:

Future Improvements:

Ab yeh professional aur clean lagay ga.

git clone https://github.com/khalidlaiba151-sys/zoo-guide-ai-agent-.git cd zoo-guide-ai-agent- pip install -r requirements.txt hh