🤖 AI Chatbot using Google ADK

An intelligent AI chatbot built using Google ADK (Agent Development Kit) that can interact with users and generate intelligent responses. This project demonstrates how to build an AI-powered conversational agent using modern agent frameworks.

The chatbot processes user queries and generates meaningful responses using AI models, making it useful for learning AI agents, conversational AI, and LLM-based applications.

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🚀 Features

• 🤖 AI-powered chatbot
• ⚡ Built using Google ADK
• 💬 Real-time conversational responses
• 🧠 Intelligent query understanding
• 📸 Demo screenshot included
• 🧩 Simple and modular project structure

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📂 Project Structure

Open_AI/
│
├── AI_Agent/        # Chatbot implementation using Google ADK
├── contains.txt     # Sample input / text file used in the project
├── Demo.png         # Demo screenshot of chatbot working
├── .gitignore       # Files ignored by Git
└── README.md        # Project documentation

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⚙️ Installation

Clone the repository:

git clone https://github.com/your-username/repository-name.git
cd repository-name

Create a virtual environment:

python -m venv venv

Activate the virtual environment

Windows

venv\Scripts\activate

Install dependencies:

pip install -r requirements.txt

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▶️ Run the Chatbot

Navigate to the chatbot directory and run the main script:

adk web

The chatbot will start and you can begin interacting with it through the terminal.

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💻 Demo Code

Below is a simple example of how the chatbot interacts with the user.

import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")

model = genai.GenerativeModel("gemini-pro")

print("AI Chatbot started. Type 'exit' to stop.\n")

while True:
    user_input = input("You: ")

    if user_input.lower() == "exit":
        print("Chatbot: Goodbye!")
        break

    response = model.generate_content(user_input)
    print("Chatbot:", response.text)

This script creates a simple chatbot loop where:

1. The user enters a message
2. The message is sent to the AI model
3. The model generates a response
4. The chatbot prints the response

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🖼️ Demo Screenshot

Below is a screenshot of the chatbot in action.

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🧠 Technologies Used

• Python
• Google ADK (Agent Development Kit)
• Generative AI models
• Git & GitHub for version control

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📌 Learning Outcomes

This project helps understand:

• Building AI agents
• Working with Google ADK
• Designing conversational AI systems
• Structuring AI projects for GitHub
• Managing Python environments

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📜 License

This project is created for learning and educational purposes.

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👨‍💻 Author

Developed by Syam Kumar AI & Machine Learning Enthusiast