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🤖 Multi-Agent AI Solutions

This repository contains two innovative projects that demonstrate the power of multi-agent AI systems for different real-world applications. Each project leverages AI agents to collaborate and solve complex tasks efficiently.

📂 Project Structure

multi-agent/
├── financial-analysis/    # AI agents for financial analysis and trading
└── jobhunting-crew/      # AI agents for resume optimization and job hunting

🚀 Projects Overview

1. Financial Analysis Agents

AI Financial Crew Breakdown

A sophisticated multi-agent system designed for financial analysis and trading strategy development. The system employs four specialized agents working in collaboration:

  • Data Analyst Agent: Processes and analyzes financial data
  • Trading Strategy Agent: Develops market strategies
  • Trade Advisory Agent: Provides execution recommendations
  • Risk Advisor Agent: Manages risk assessment

Key Features:

  • Integration with Anthropic Claude and other LLMs
  • Extensible architecture for custom workflows
  • Comprehensive financial data analysis
  • Risk-aware trading recommendations

Learn more about Financial Analysis Agents

2. Job Hunting Crew

An AI-powered system that optimizes job applications and interview preparation using Amazon Bedrock and CrewAI. The system features four specialized agents:

AI Crew Intereview Prep Breakdown

  • Job Researcher: Analyzes job postings and requirements
  • Personal Profiler: Evaluates candidate's strengths
  • Resume Strategist: Tailors resumes to specific positions
  • Interview Coach: Prepares interview Q&A

Key Features:

  • Automated job requirement analysis
  • Personalized resume optimization
  • AI-driven interview preparation
  • Modular and extensible architecture

Learn more about Job Hunting Crew

🚀 Getting Started

  1. Clone the repository:
git clone https://github.com/your-username/multi-agent.git
cd multi-agent

📜 License

Both projects are licensed under the MIT License.

🤗 Contributing

Contributions are welcome! Feel free to open issues or submit pull requests to improve the solution.

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AI Multi-Agent Financial Solutions

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  • Jupyter Notebook 97.3%
  • Python 2.7%