starthack
Oasis is an autonomous AI agent that manages a simulated Martian greenhouse across a full 450-sol mission, making real-time decisions about crop planting, energy allocation, water conservation, and crisis response without human intervention. The system combines physics-based simulation, LSTM weather forecasting, and specialist crisis agents to enable proactive planning rather than reactive firefighting. A live dashboard displays the agent's reasoning, greenhouse state, and mission metrics as it runs the complete scenario in real-time.
Oasis is an autonomous AI agent that manages a simulated Martian greenhouse across a 450-sol mission, making real-time decisions about crop management, resource allocation, and crisis response without human intervention. The system combines physics-based simulation, LSTM weather forecasting, and specialist crisis agents with a live dashboard for monitoring the agent's decision-making process.
- ✓Innovative integration of multiple AI components including LSTM weather forecasting, specialist crisis agents, and real-time autonomous decision-making for a highly complex simulation
- ✓Proactive planning approach using weather forecasts to make strategic decisions rather than purely reactive responses, demonstrating sophisticated AI reasoning
- ✓Real-time crisis injection capability allowing judges to test system adaptability with dynamic challenges like dust storms and equipment failures
- →Add comprehensive test coverage and error handling patterns, particularly for the critical interrupt detection and crisis response systems
- →Implement data persistence and mission analytics to track agent performance across multiple runs and enable more sophisticated learning from historical decisions