Martian Habitat Pathfinder

A comprehensive project for analyzing and simulating optimal habitat locations on Mars using reinforcement learning and data-driven approaches.

Project Overview

The Martian Habitat Pathfinder project aims to identify and evaluate potential habitat locations on Mars by analyzing topographical data, environmental conditions, and resource availability. The project leverages reinforcement learning algorithms integrated with large language models to optimize habitat placement decisions.

Features

• Data Processing Pipeline: Processes Mars topographical data (MOLA) and other environmental datasets
• Advanced Analytics: Terrain analysis and feature engineering for habitat suitability assessment
• Simulation Environment: Virtual testing environment for habitat placement scenarios
• RL-based Decision Making: Reinforcement learning models for optimizing habitat locations
• Interactive UI: User interface for visualizing and interacting with the analysis results
• LLM Integration: Large Language Model integration for enhanced decision support

Directory Structure

• analytics/: Data analysis scripts and visualization tools
• data/: Raw and processed Mars datasets, including MOLA topographical data
• docs/: Project documentation, user guides, and technical specifications
• models/: Reinforcement learning and decision-making models
• simulations/: Simulation environment for testing habitat scenarios
• ui/: User interface components
• ui_app/: Complete user interface application
• utils/: Utility functions and helper scripts
• validation/: Validation tools and test scripts

Getting Started

Please refer to the Quick Start Guide for installation and basic usage instructions.

For comprehensive information, see the User Guide.

LLM Integration

This project includes integration with Ollama for enhanced decision support. See the Ollama Usage Guide for details on setting up and using this feature.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• NASA for providing open-source Mars topographical data
• The open-source community for various tools and libraries used in this project