NIRVANAGNI F.L.A.M.E

The Problem

Traditional fire suppression systems rely on delayed human intervention, leading to catastrophic losses in industrial environments. There was no autonomous system capable of real-time detection and response at scale.

The Solution

Engineered an AI-powered autonomous fire suppression system leveraging 150k+ datasets for real-time threat detection. Integrated PLC controllers with cloud-based ML models for instantaneous response, reducing reaction time by 85%.