Analytics • Rizal

HeatWatch Rizal is an intelligent heat risk monitoring and early warning system powered by Machine Learning and Geographic Information Systems (GIS), designed to protect communities across Rizal Province from extreme heat dangers.

Real-Time Monitoring

HeatWatch continuously tracks temperature and humidity data from all 13 municipalities and 1 component city of Rizal Province, plus 3 nearby Metro Manila reference points, using the Open-Meteo weather API. The interactive GIS map visualizes heat risks in real-time, helping you identify danger zones instantly.

AI-Powered Temperature Forecasting

The system uses three trained machine learning models — Random Forest (95.6% R²), Decision Tree (93.3% R²), and K-Nearest Neighbors (91.9% R²) — to forecast temperature 6 hours ahead. These predictions are then classified into heat risk categories: Normal, Moderate, High, and Dangerous. Switch between models and compare their performance on the ML Models page.

Flexible Alert System

Send heat alerts your way — manually trigger instant email notifications with 6-hour ML forecasts to any recipient, or schedule automatic recurring alerts at your preferred time intervals. Select locations, set your time gap, and let HeatWatch handle the rest.

Data-Driven Insights

All weather readings, risk classifications, ML predictions, and alert logs are stored in a structured database. This continuously growing dataset of real historical weather data serves as a foundation for future model retraining, climate research, and policy-making.

Why It Matters

The Philippines faces increasing heat-related health risks due to climate change. HeatWatch empowers local governments, emergency responders, and communities with actionable data to make informed decisions, issue timely warnings, and ultimately save lives.

Built by Engr. Brian Ezekiel D. Batalon, ECE, ECT, SO2

Heat Risk Analytics

Live Monitoring

Total Readings (24h)

+12%

Average Temperature

Rizal Province

Average Humidity

24h Period

Maximum Temperature

Peak Value

Risk Distribution

Last 24 Hours

Hottest Locations

Top 5 Areas

Risk by Location

Cumulative Distribution

Temperature vs Humidity

Correlation Analysis

Detailed Location Statistics

Location	Avg Temp	Max Temp	Avg Humidity	Risk Distribution	Alert Count
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Welcome to HeatWatch Rizal

Real-Time Monitoring

AI-Powered Temperature Forecasting

Flexible Alert System

Data-Driven Insights

Why It Matters