Intelligent AI Assistant using Groq Llama 3

# 🤖 Intelligent AI Assistant using Groq Llama 3

## 🧠 Overview

This project demonstrates a **single intelligent AI agent** that can reason, explain, and respond to user queries using **Groq’s Llama 3.1 model**.

Developed as part of the **AAIDC Module 1 – Single Agent Systems**, it serves as an introduction to **Agentic AI**, showing how a single autonomous agent performs reasoning and communication.

## 🎯 Objectives

- Build a **single AI agent** that interacts with users intelligently.

- Use **Groq’s Llama 3.1 API** for fast reasoning and responses.

- Securely manage API keys with .env and .gitignore.

- Demonstrate foundational **Agentic AI principles**.

## ⚙️ System Workflow

User Input

↓

[AI Assistant Agent] → Processes query using Groq Llama 3.1

↓

Generates structured, intelligent response

yaml

Copy code

## 🧱 Project Structure

single_agent_project/

│

├── main.py # Core AI assistant logic

├── .env # Stores API key (not uploaded)

├── .gitignore # Protects secrets and cache

└── .venv/ # Virtual environment (ignored)

yaml

Copy code

## 💻 Technologies Used

| Tool / Library | Purpose |

|----------------|----------|

| **Python 3.13** | Programming language |

| **Groq API (Llama 3.1)** | Language model for reasoning |

| **python-dotenv** | Secure environment variable handling |

| **OOP (Object-Oriented Programming)** | Code modularity and agent design |

## 🚀 How to Run the Project

### 1️⃣ Clone the Repository


git clone https://github.com/shaiknawaz568/single-agent-ai-assistant.git

cd single-agent-ai-assistant

2️⃣ Create a Virtual Environment

bash

Copy code

python -m venv .venv

.\\.venv\\Scripts\\Activate.ps1

3️⃣ Install Dependencies

bash

Copy code

pip install groq python-dotenv

4️⃣ Add Your Groq API Key

Create a file named .env in your project root:



ini

Copy code

GROQ\_API\_KEY=gsk\_your\_new\_generated\_key\_here

5️⃣ Run the Assistant

bash

Copy code

python main.py

✅ Output Example:



pgsql

Copy code

🤖 AI Assistant is ready!

Ask me anything (or type 'exit' to quit): What is Agentic AI?



AI Assistant: Agentic AI refers to intelligent systems that act autonomously, reason about their environment, and collaborate to achieve defined goals.

🧩 Security \& Best Practices

All secrets are stored locally in .env.



.gitignore ensures sensitive files are never uploaded.



Followed AAIDC security recommendations.



🧠 Future Enhancements

Add voice input/output.



Build a simple Streamlit web interface.



Store chat history using LangChain or JSON logs.



Connect to a knowledge base for deeper reasoning.



🏁 Conclusion

This project represents the foundational stage of the Agentic AI journey — creating a single intelligent agent capable of reasoning and communication.

It fulfills all the objectives for AAIDC Module 1 – Single Agent Systems and serves as a base for more advanced multi-agent architectures.



👨‍💻 Author

Shaik Nawaz Shareef

AAIDC Certified Developer – Module 1 \& Module 2

GitHub: https://github.com/shaiknawaz568



🔗 Project Links

Code Repository: GitHub - Single Agent AI Assistant



AAIDC Certification Module: Module 1 – Single Agent Systems



Platform: Ready Tensor

# 🤖 Intelligent AI Assistant using Groq Llama 3

## 🧠 Overview

This project demonstrates a **single intelligent AI agent** that can reason, explain, and respond to user queries using **Groq’s Llama 3.1 model**.

Developed as part of the **AAIDC Module 1 – Single Agent Systems**, it serves as an introduction to **Agentic AI**, showing how a single autonomous agent performs reasoning and communication.

## 🎯 Objectives

- Build a **single AI agent** that interacts with users intelligently.

- Use **Groq’s Llama 3.1 API** for fast reasoning and responses.

- Securely manage API keys with .env and .gitignore.

- Demonstrate foundational **Agentic AI principles**.

## ⚙️ System Workflow

User Input

↓

[AI Assistant Agent] → Processes query using Groq Llama 3.1

↓

Generates structured, intelligent response

yaml

Copy code

## 🧱 Project Structure

single_agent_project/

│

├── main.py # Core AI assistant logic

├── .env # Stores API key (not uploaded)

├── .gitignore # Protects secrets and cache

└── .venv/ # Virtual environment (ignored)

yaml

Copy code

## 💻 Technologies Used

| Tool / Library | Purpose |

|----------------|----------|

| **Python 3.13** | Programming language |

| **Groq API (Llama 3.1)** | Language model for reasoning |

| **python-dotenv** | Secure environment variable handling |

| **OOP (Object-Oriented Programming)** | Code modularity and agent design |

## 🚀 How to Run the Project

### 1️⃣ Clone the Repository


git clone https://github.com/shaiknawaz568/single-agent-ai-assistant.git

cd single-agent-ai-assistant

2️⃣ Create a Virtual Environment

bash

Copy code

python -m venv .venv

.\\.venv\\Scripts\\Activate.ps1

3️⃣ Install Dependencies

bash

Copy code

pip install groq python-dotenv

4️⃣ Add Your Groq API Key

Create a file named .env in your project root:



ini

Copy code

GROQ\_API\_KEY=gsk\_your\_new\_generated\_key\_here

5️⃣ Run the Assistant

bash

Copy code

python main.py

✅ Output Example:



pgsql

Copy code

🤖 AI Assistant is ready!

Ask me anything (or type 'exit' to quit): What is Agentic AI?



AI Assistant: Agentic AI refers to intelligent systems that act autonomously, reason about their environment, and collaborate to achieve defined goals.

🧩 Security \& Best Practices

All secrets are stored locally in .env.



.gitignore ensures sensitive files are never uploaded.



Followed AAIDC security recommendations.



🧠 Future Enhancements

Add voice input/output.



Build a simple Streamlit web interface.



Store chat history using LangChain or JSON logs.



Connect to a knowledge base for deeper reasoning.



🏁 Conclusion

This project represents the foundational stage of the Agentic AI journey — creating a single intelligent agent capable of reasoning and communication.

It fulfills all the objectives for AAIDC Module 1 – Single Agent Systems and serves as a base for more advanced multi-agent architectures.



👨‍💻 Author

Shaik Nawaz Shareef

AAIDC Certified Developer – Module 1 \& Module 2

GitHub: https://github.com/shaiknawaz568



🔗 Project Links

Code Repository: GitHub - Single Agent AI Assistant



AAIDC Certification Module: Module 1 – Single Agent Systems



Platform: Ready Tensor