Predictive AI in Action: Engineering a Real-Time Dashboard for Canadian Fleet Optimization

A developer who completed Codeboxx's AI for Developers certification built a full-stack operations platform for Rocket Elevators that monitors 45,000+ elevators across Canada in real-time. The system integrates predictive risk scoring, multi-agent NLP, and real-time data pipelines, using Go, Python, and PostgreSQL, and achieved 100% accuracy in routing.

After completing Codeboxx's AI for Developers certification, I engineered a full-stack operations platform for Rocket Elevators that monitors 45,000+ elevators across Canada in real-time. This case study walks through how I integrated predictive risk scoring, multi-agent NLP, and real-time data pipelines into a production system. You'll learn about the architecture decisions, the tech stack Go, Python, PostgreSQL , and how to move from prototype to 100% accuracy in routing. Whether you're building AI systems or scaling infrastructure, this breakdown will show you what enterprise-grade implementation actually looks like. Repo: https://github.com/Juanpacol/rocket-elevators-dashboard https://github.com/Juanpacol/rocket-elevators-dashboard