QuakeCore AI Agent

QuakeCore is an AI-based seismic data processing agent framework. It allows users to upload various seismic data formats (MiniSEED, SAC, SEG-Y, HDF5) and interact with an AI via natural language to analyze file structures, get statistics, and perform phase picking.

Features

• Multi-Format Support: Reads SEGY, MiniSEED, SAC, HDF5, NumPy arrays.
• Smart Phase Picking: Built-in STA/LTA, AIC, and other traditional picking algorithms.
• Web UI: A GPT-like chat interface built with Streamlit.
• Local/Cloud AI Support: Integrates with local Ollama or cloud-based DeepSeek APIs.

Quick Start

1. Installation

git clone https://github.com/Chuan1937/QuakeCore.git
cd QuakeCore

# Create and activate a conda environment
conda create -n quakecore python=3.10 -y
conda activate quakecore

# Install dependencies
pip install -r requirements.txt

2. Run the App

streamlit run app.py

Open your browser to http://localhost:8501.

3. Setup LLM

• Local (Ollama): Install Ollama and pull a model (e.g., ollama pull qwen2.5:3b). Configure the model name in the app's sidebar.
• Cloud (DeepSeek API): Enter your DeepSeek API key and base URL in the app's sidebar settings.

Usage

1. Configure your LLM settings in the sidebar.
2. Upload a seismic data file (or use the examples in example_data/).
3. Chat with the AI! Try prompts like:
   • "Analyze this SEGY file's structure."
   • "What is the sampling rate of this file?"
   • "Perform phase picking on the loaded waveform."
   • "Convert this data to HDF5 format."