LuminaGrid OS: Proactive AI-Driven Grid Management
AI Agent & Fullstack Architecture
Year
2026
Context
Advanced System Architecture
Role
AI Software Engineer
Gemini 2.5 Flash
Node.js
MongoDBProject Overview
An enterprise-grade SCADA dashboard powered by a proactive Gemini 2.5 Flash AI Co-Pilot. Engineered as a Cloud-Native Monolithic application, the system utilizes a custom RAG pipeline to translate real-time grid telemetry into executable mitigation actions, ensuring operational stability across expanding solar fleets.
The Problem
As industrial control systems scale, operators face severe cognitive overload and alarm fatigue from noisy, high-volume IoT data. Monitoring expanding grid units manually forces maintenance teams into a reactive cycle, where identifying hardware faults or weather-induced degradation becomes time-consuming, prone to human error, and drives up operational costs during emergencies.
The Solution
I built a proactive AI Co-Pilot utilizing LangChain and Gemini 2.5 Flash to act as an intelligent intermediary between raw data and the operator. The system ingests Kaggle Solar Generation data via a zero-latency Server-Sent Events (SSE) pipeline, fortified with Last Known Good Value (LKGV) logic to eliminate UI flickering during sensor dropouts. The AI's diagnostic reasoning is instantly parsed into structured JSON payloads, presenting operators with interactive, batch-execution mitigation plans.
The Impact & Learning
Successfully deployed to Google Cloud Run, the system delivers a fault-tolerant, Human-in-the-Loop (HITL) interface where operators can execute complex AI-recommended mitigations instantly safely. The application eliminates alarm fatigue, drastically reduces mitigation response times, and strictly persists immutable transaction audit trails to MongoDB for enterprise compliance.
Live Demonstration