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🤖 Agentic AI Applications

A collection of AI agent implementations demonstrating multi-agent architectures, tool integration, and real-world applications using modern LLM frameworks.

Projects

Project Description Status
Financial AI Analyst Multi-agent system for stock analysis, market data, and financial news ✅ Complete

Tech Stack

  • Agent Framework: Phidata
  • LLM Provider: Groq (Llama 3.3 70B)
  • UI: Streamlit
  • Language: Python 3.10+

Setup

1. Clone the repository

git clone https://github.com/your-username/Agentic-AI-Applications.git
cd Agentic-AI-Applications

2. Create virtual environment

python -m venv .venv

3. Activate virtual environment

# Windows
.venv\Scripts\activate

# macOS/Linux
source .venv/bin/activate

4. Install dependencies

pip install -r requirements.txt

5. Configure environment variables

cp .env.example .env

Add your API keys to .env:

GROQ_API_KEY=your_groq_api_key
PHIDATA_KEY=your_phidata_key

API Keys

Key Source
GROQ_API_KEY console.groq.com/keys
PHIDATA_KEY phidata.app

License

MIT

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Collection of AI agent implementations

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