Hail Mary

Project Hail Mary

When all other options are exhausted, you still have one.

Submitted to the Cassini Hackathon: Proof of Conceptđ

Overview

Project Hail Mary is a satellite-powered decision support platform designed for emergency response to natural disasters, starting with flood events

It serves as both a prediction engine and a reaction toolkit: warning operators before a disaster strikes, and guiding responders through it when it does. The system is built to protect human life first, property second.

This repository contains the proof-of-concept submission developed for the Cassini Hackathon.

Who Is This For?

Project Hail Mary is built for the people on the front lines of disaster response:

• Governmental emergency management agencies such as civil protection bodies and state-level disaster response authorities;
• Independent rescue organizations Including NGOs such as the Red Cross and national mountain and wilderness rescue services such as GSS (Gorska Služba Spasavanja / Serbian Mountain Rescue)

The platform is designed to be operable under pressure, by trained responders who need clear, actionable information, not noise.

Core Capabilities

Prediction

Early detection and alerting based on satellite and environmental data. The goal is to give operators as much lead time as possible before a flood event materializes, enabling pre-positioning of resources and early public communication.

Reaction

When a disaster is underway, the platform shifts into active support mode providing real-time situational awareness and decision guidance to help responders prioritize actions, allocate resources, and protect lives.

Hackathon Scope

This submission is a proof of concept. It demonstrates the core architecture and key workflows within the context of flood response, chosen for its high frequency, geographic breadth across Europe, and the availability of relevant satellite data streams.

The PoC is intentionally scoped. Full capabilities, integrations, and deployment-readiness are part of the roadmap for the production version of a future software platform.