Real-time Disaster Detection.

Cloud-native AI on Kubernetes with GPU acceleration.

DeveloperWeek 2026 Akamai Track MIT Kubernetes PyTorch
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Core Capabilities

The Intelligence Pipeline

GPU-Accelerated

CUDA-enabled PyTorch models executing real-time tensor operations for immediate threat assessment.

Kubernetes-Native

Horizontal Pod Autoscaling deployed on LKE ensuring absolute zero-downtime scaling during critical scenarios.

Microservices Grid

FastAPI routing coupled with Redis event queues and PostgreSQL, orchestrated for sub-millisecond data handling.

Vector Analysis

Detected Anomalies

🌊

Hydro-Accumulation

Flood / Submerged Layer

🔥

Thermal Extraction

Fire / Smoke Plume

🏔️

Topographical Shift

Landslide / Debris

🌀

Atmospheric Vortex

Typhoon / Structural

Sensory & Architecture

Data Ingestion Matrix

Seamlessly connecting orbital satellites, autonomous drones, and localized IoT sensors directly into the Kubernetes inference engine for instantaneous assessment.

HELICOPTER_DRONE_APEX_9
ORBITAL_SATELLITE_GEO_L1
MUNICIPAL_CCTV_GRID_SEC_7
GROUND_IOT_SENSOR_M-32
NGINX Ingress
Laravel Admin Panel
FastAPI
Redis Queue
PyTorch GPU Workers
PostgreSQL