# Saptarshi Mondal

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Saptarshi Mondal](https://cerebralvalley.ai/u/Saptarshi_Mondal)
- **GitHub:** https://github.com/Sap1x/Sentrix
- **Demo video:** https://drive.google.com/file/d/1STv5D__xnxTveZKuekU5b2L6Z8s7u_TC/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2996

SENTRIX :  See the cascade before it happens.

What if a flooded road could trigger a city-wide emergency? A blocked route can delay ambulances, disrupt access to critical facilities, compromise utility dependencies, and turn a localized incident into a cascading infrastructure failure.

Cities don't experience infrastructure failures in isolation. Their roads, utilities, emergency services, and critical facilities operate as interconnected systems. Yet most incident-response tools focus on individual events rather than understanding how one failure can trigger another.

SENTRIX is an AI-powered infrastructure resilience intelligence platform built to change that.

It transforms fragmented incident information into an actionable understanding of infrastructure risk through four integrated capabilities:

1. Understand the incident. Meta's Muse Spark Open interprets natural-language incident reports, extracts relevant entities, and generates structured hypotheses about potential infrastructure disruptions.

2. Model the city. A graph-based digital twin represents interconnected infrastructure assets and their dependencies, allowing SENTRIX to reason about how disruptions can propagate beyond the initial incident.

3. Simulate the cascade. A deterministic simulation engine models infrastructure state transitions and cascading failures, making potential consequences reproducible and independently verifiable.

4. Compare interventions. Counterfactual scenario analysis enables decision-makers to compare baseline conditions against mitigation strategies, understand changes in disruption and response delays, and identify potentially effective interventions.

The critical architectural decision is the separation of AI-generated hypotheses from verified infrastructure data and deterministic simulation results. Model outputs are validated against known digital-twin assets; the simulation engine, not the language model, calculates operational impact.

SENTRIX brings together AI-assisted incident understanding, graph-based systems modeling, deterministic simulation, and evidence-grounded decision support in one operational workflow.

Our vision: Move cities from reacting to infrastructure failures toward anticipating their consequences.

Because resilience is not just about knowing what failed. It is about understanding what could fail next — and acting before the cascade begins.

## More from Meta Global AI Developer Hackathon

- [ann](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2993)
- [PlayFellow Co-op](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2994)
- [La Esquina Shop Agent](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2995)
- [David Olutayo](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2997)
- [Little Adventures](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2998)
- [Uptrugime](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2999)

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