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Weather Prediction SystemArchitecture · 3 AI models · thunderstorm early warning
⚙️ Production-Grade → ◀ Hazard Predictor ← Suite Home

🏗️ System Architecture

sky-cam + sensors → station → cloud (3 AIs + satellite API) → mobile alert
Remote Site Weather Station Satellite API Cloud Server Early Warning
📷 Sky Camera
cloud images of the sky
🌡️Temperature
💧Humidity
🎚️Air Pressure
💨Wind
🌧️Rainfall
Lightning
🌦️ Weather Station
collects sensor readings & sky-cam images
⛔ no edge processing
🛰️ Satellite / Radar API
cloud calls with lat / long
→ returns satellite & radar images
☁️ Cloud Server
🗄️ Data Storagekeeps all readings & images
🖼️ Vision AIunderstands clouds from sky-cam
📈 Time-Series AIlearns patterns from sensor data
🛰️ Geospatial AIreads radar & satellite imagery
⊕ Fuse all 3 → ⛈️ Thunderstorm Prediction
🚨 Alert Engineearly warning
📱 Mobile App
early-warning alert
🖼️ Vision AI

Understands clouds from sky-camera images — spotting the tall, dark build-ups that mean storms.

📈 Time-Series AI

Learns patterns from the weather sensor data over time — how temp, pressure & humidity change before a storm.

🛰️ Geospatial AI

Uses radar & satellite imagery (fetched from the API by lat/long) to understand the regional weather.

💡

Three views, one forecast: the sky-camera and sensors go to the Weather Station (no computing there) and up to the cloud, which also calls a satellite/radar API using the station's lat/long to pull regional imagery. In the cloud, Vision AI reads the clouds, Time-Series AI reads the sensor trends, and Geospatial AI reads the satellite picture — the three are fused into one thunderstorm prediction, and an alert is pushed to the mobile app.

📊 Live Weather Dashboard

latest readings + the fused AI prediction
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Thunderstorm risk buildingupdated just now
ENHANCED

🤖 Ask the Weather Agent

ask about the weather in plain language, anytime
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Weather Q&A Agentanswers from the live station data