FinEcho

Overview

FinEcho is a sophisticated AI-driven system designed to manage and interact with multiple agents for tasks such as financial data retrieval, summarization, and transcription. It leverages advanced language models and tools to provide insights and streamline workflows.

Features

• Supervisor Agent: Manages multiple agents and coordinates tasks.
• Scraper Agent: Downloads SEC filings and processes them.
• Retriever Agent: Retrieves relevant documents from a vector database.
• API Agent: Interacts with external APIs for financial data.
• Audio Transcription: Captures audio prompts and converts them to text using Groq Whisper.

Installation

1. Clone the repository:

   git clone <repository-url>
   cd FinEcho

2. Set up a virtual environment:

   python -m venv .venv
   source .venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Run the supervisor_agent.py script:

   python supervisor_agent.py

2. Speak into the microphone to provide a prompt. The system will transcribe your speech and pass it to the agents for processing.

Project Structure

• supervisor_agent.py: Main script to run the supervisor and agents.
• portfolio/: Contains downloaded SEC filings.
• extracts/: Contains extracted data from SEC filings.
• yahoo-finance-mcp/: Yahoo Finance MCP server.
• sec-edgar-mcp/: SEC Edgar MCP server.

Requirements

• Python 3.9+
• SpeechRecognition library for audio transcription.
• Groq Whisper API for transcription.
• LangChain for agent management.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

Contact

For questions or support, please contact [prajithr004@gmail.com].