SimuGuard: Autonomous Fleet Health Monitor

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  Simulation Guard

The Problem

As logistics and delivery companies scale their autonomous robot fleets, hardware failures become the #1 cost driver. A single robot overheating or dying in the field causes supply chain delays and requires expensive manual retrieval. Current monitoring tools only show raw data, requiring human operators to constantly watch screens.

The Solution

SimuGuard is an intelligent "Fleet Supervisor" that automates this monitoring. It is a simulation-first platform that streams telemetry data (battery, CPU temperature, location) from a fleet of autonomous agents.

How It Works

We built a custom simulation engine in Python that mimics real-world robot stress factors. This data is fed into a Streamlit dashboard where Google Gemini Pro acts as the central brain. Instead of just plotting graphs, Gemini analyzes the complex interplay of variables (e.g., "High Temp + Low Battery") and generates natural language directives like "Recall Robot-Beta immediately for cooling."

Business Value

By moving from reactive repairs to proactive AI-led maintenance, SimuGuard reduces fleet downtime by an estimated 40%. This project demonstrates a scalable architecture deployed on Vultr, ready for real-world robotics integration.

Built With

• analytics
• gemini
• generative-ai
• python
• streamlit