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Disaster AI AGENT

This template analyzes emergency call data to assess the situation and recommend actions. It accepts a call summary, transcript, status, and call ID as input, then returns a structured JSON analysis detailing severity, emergency category, risk assessment, recommended actions, and caller emotions.

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https://templates.buildship.com/template/GHbBxI8qRhd6/
By Anuj Kumar

Inputs

CallData

Editor
This is a static example using sample inputs. Remix the template to run it with your own values.

Output

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Sahara AI – Emergency Response Dashboard

Sahara AI is an AI-powered emergency response dashboard designed to revolutionize how emergency calls are managed, analyzed, and dispatched. Built for hackathons and real-world impact, Sahara AI leverages intelligent automation and serverless workflows to bridge the gap in critical moments—when every second counts.

Github REPO Link : https://github.com/anuj846k/BUILDSHIP-HACK

Problem

Emergency call centers are overwhelmed and understaffed, leading to:

  • Delayed response times
  • Overworked operators
  • Increased risk of critical errors

Sahara AI addresses these challenges with a modern, data-driven, and AI-augmented solution powered by serverless infrastructure.

Features

  • Live Emergency Dashboard: Visualize all active emergency calls and their locations on an interactive map.
  • AI-Powered Call Analysis: Each call is analyzed in real-time for severity, category, risk, and recommended actions using advanced AI through Buildship workflows.
  • Serverless AI Processing: Leverages Buildship's serverless platform for scalable, cost-effective emergency call analysis.
  • Incident Management: View, filter, and interact with incidents directly on the dashboard.
  • Live Transcript & Emotion Detection: See live transcripts of emergency calls and real-time caller emotion analysis.
  • Automated Dispatch: Instantly triage and dispatch resources based on AI recommendations.
  • Modern UI: Responsive, accessible, and visually engaging interface built with Next.js and Tailwind CSS.

Architecture

Sahara AI uses a hybrid architecture combining VAPI for call management and Buildship for AI processing:

  1. VAPI Integration: Handles incoming emergency calls and provides call data
  2. Buildship Workflow: Processes call data through serverless AI analysis
  3. Frontend Dashboard: Displays real-time analysis and emergency response interface

Buildship Workflow

Our serverless workflow includes:

  • REST API Trigger: Receives emergency call data
  • OpenAI Assistant: Analyzes call severity, category, and emotions
  • Location Extraction: Identifies emergency location from call transcripts
  • Structured Response: Returns formatted analysis for dashboard display

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