Project Deep Dive
ResQ
ResQ is a simulation platform for training emergency dispatchers using realistic call scenarios and automated scoring. It integrates live call infrastructure and generates feedback using conversation analysis to highlight strengths, mistakes, and improvement areas. The system is designed around real-time constraints like latency and transcript parsing.
Thesis
Emergency dispatcher training simulator that runs live call scenarios and generates automated coaching feedback from transcript analysis.
Key capabilities
- Runs realistic simulated emergency calls using live telephony infrastructure.
- Generates automated feedback and coaching insights from conversation transcripts.
- Implements scenario logic in a backend with a React (TypeScript) training UI.
- Designs around real-time constraints including latency and transcript parsing.
Stack
Python, Flask, React (TypeScript), Twilio, Retell, GPT-4
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