← Back to projects
● Production▲ Vercel
Royal Rainmaking Mission Planning AI
AI-assisted aircraft seeding mission workspace for the Thai Royal Rainmaking Department
Three-project system for DRMD (กรมฝนหลวงและการบินเกษตร). The mission planner UI shows weather windows, aircraft assignments, and go/no-go confidence scores. A FastAPI backend runs Physics-Informed Neural Networks to infer cloud seeding conditions. The scheduling module handles multi-aircraft route optimization for the rainy season campaign.
✓ Verified StackVercel: rainmaking-mission + pinn-rainmaking-backend + rainmaking-mission-planning
TRY THE WORK
The system is deployed on edge nodes. Monitor container logs, memory allocations, and trigger virtual requests below:
edge-console://rainmaking-mission.dev
LIVE PREVIEW
Resource Monitor
EDGE NODE CPU12%
RAM ALLOCATION18.4MB / 128MB
PLATFORM CLUSTERVercel
KEY METRICS & FACTS
Royal Rainmaking Dept (DRMD)
Client
Physics-Informed Neural Networks
ML type
Go/No-go + confidence score
Output
3 Vercel projects
Deployments
Thailand rainy season operations
Season