CrisisStream is a real-time emergency coordination system designed to improve response during disasters and critical situations. The project focuses on solving the problem of scattered and delayed emergency data by creating a single, live source of truth for emergency requests.
Users can submit emergency requests such as medical help, flood rescue, fire incidents, or shelter needs along with location details. These requests are stored in MongoDB Atlas, and using MongoDB Change Streams, every new request is pushed instantly to a live dashboard and map without page refresh or polling.
The system leverages geospatial data to visualize emergencies on a map and supports severity-based prioritization using MongoDB aggregation pipelines, ensuring that high-impact cases are visible first. MongoDB’s flexible schema allows the platform to easily support multiple emergency types and evolve without database redesign.
Built as a database-first, event-driven system, CrisisStream demonstrates how MongoDB Atlas can power scalable, real-time applications for time-critical use cases like disaster management. The project was developed during a 2.5-hour MongoDB Atlas Hack Day, focusing on core backend architecture rather than UI complexity.
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