Wildfire Watch Canada

Inspiration

Wildfires are becoming more frequent and destructive across Canada. Every year communities face evacuations, dangerous smoke conditions, and rapidly spreading fires that are difficult to monitor in real time.

Most people rely on delayed public alerts or scattered sources of information. Residents often don’t know their wildfire risk until it becomes an emergency.

We wanted to build a system that gives people earlier awareness, clearer information, and faster alerts so communities can respond before it is too late.

Wildfire Watch Canada was created to combine AI risk analysis, wildfire monitoring, emergency alerts, and public safety guidance into one accessible platform.

What it does

Wildfire Watch Canada is an AI-powered wildfire monitoring and early warning platform designed to help Canadians track wildfire risks and respond faster.

The platform provides:

🔥 Real-time wildfire risk monitoring Users can view wildfire risk levels across monitored zones such as national parks and forest regions.

🗺 Interactive wildfire intelligence map The map displays wildfire hotspots, satellite fire activity, vegetation data, and environmental indicators to visualize risk areas.

📷 Geotagged fire detection Field images can be captured and analyzed to help detect potential wildfire activity.

🚨 Personalized alerts Users receive notifications when wildfire threats appear near their saved locations.

🩺 Public safety guidance The system provides wildfire preparedness resources, smoke health precautions, and emergency safety information.

🚒 Fire department contacts Users can quickly access local emergency response departments.

🤖 AI wildfire assistant An AI assistant helps users ask questions about wildfire safety, smoke exposure, and emergency preparedness.

Together these tools transform scattered wildfire information into actionable intelligence for communities.

How we built it

Wildfire Watch Canada was built as a full-stack web platform combining AI services, mapping technology, and real-time data visualization.

Frontend
React / Next.js
Tailwind UI
Interactive dashboard interface
Mapping & Visualization
Leaflet map integration
Real-time wildfire hotspot visualization
Layered environmental data
AI Integration
Google Gemini API used to analyze environmental information and generate wildfire risk insights
Media & Image Processing
Cloudinary used to manage and analyze wildfire images captured from the field
Core Platform Features
Monitored wildfire zones with environmental indicators
Risk scoring system based on weather and environmental data
Alert and notification system
Fire safety and health guidance modules

The system architecture allows wildfire monitoring data, images, and AI insights to be presented through a single unified dashboard.

Challenges we ran into

One major challenge was integrating multiple types of wildfire information into one platform.

Wildfire intelligence involves combining:

Satellite hotspot data
Environmental indicators
Weather conditions
Geographic zones
Image-based fire detection

Another challenge was designing a clear user interface that could display complex wildfire information without overwhelming users.

We also had to ensure the system could scale beyond a simple demo by structuring the platform around modular components like monitoring zones, alerts, and mapping layers.

Accomplishments that we're proud of

We are proud that Wildfire Watch Canada became more than a simple prototype.

Our team successfully built:

A full wildfire intelligence dashboard
A real-time wildfire risk map
Monitored wildfire zones with dynamic risk scores
Geotagged field imaging for fire detection
Personalized wildfire alert system
Public safety and smoke health guidance modules
Integration with local fire department contact information
An AI wildfire assistant for user support

Most importantly, the system demonstrates how AI and real-time data can help communities prepare for wildfire emergencies.

What we learned

During this project we learned how complex wildfire monitoring systems are and how important it is to present environmental information clearly to users.

We also learned how AI tools like Google Gemini can transform raw environmental data into understandable insights.

Building the platform required combining AI, mapping technology, media processing, and real-time dashboards, which strengthened our experience designing full-stack AI-powered applications.

What's next for Wildfire Watch Canada

Wildfire Watch Canada was built as a working prototype during the hackathon, but the platform has the potential to evolve into a full wildfire intelligence and emergency response system.

AI Wildfire Prediction
Future versions will integrate additional environmental datasets including:
Government wildfire datasets (NRCan, CWFIS)
Historical wildfire records
Vegetation dryness indices
Weather forecasting models
Satellite hotspot feeds

Using these inputs, the AI system could generate predictive wildfire risk forecasts and warn communities days before a fire spreads.

Autonomous Drone Monitoring
In the future, Wildfire Watch could deploy autonomous drones to monitor high-risk wildfire areas.

These drones could:

Capture real-time wildfire images
Detect smoke and heat signatures
Map fire spread
Monitor remote forests
Provide live data to emergency teams

Drones could automatically be dispatched to zones where the AI system detects increasing wildfire risk levels.

Multilingual Emergency Voice Alerts
Using voice AI technologies, drones and emergency alert systems could broadcast real-time evacuation instructions in multiple languages.

Voice alerts could be delivered in:

English
French
Indigenous languages
Local community languages

This ensures critical emergency information is accessible to everyone.

Supporting First Nations and Remote Communities

Many First Nations and northern communities are among the most vulnerable to wildfire disasters.

These communities often face challenges such as:

Limited emergency infrastructure
Delayed evacuation alerts
Remote geographic locations
Limited wildfire monitoring resources

Wildfire Watch could support these communities by combining AI monitoring and drone communication systems.

Drones could:

Reach remote forest areas that are difficult for responders to access
Deliver evacuation warnings directly to communities
Broadcast alerts in local Indigenous languages
Provide situational awareness when emergency resources are limited
By integrating community-focused technologies, Wildfire Watch could help improve equitable wildfire protection across Canada.
Community Reporting Network
Another future feature would allow citizens to report potential wildfire sightings.

Users could submit:

Photos
Smoke sightings
GPS locations
AI could verify these reports and integrate them into the wildfire monitoring system to improve early detection.
Emergency Responder Dashboard

Future versions could include specialized tools for firefighters and emergency response teams, such as:

Real-time wildfire spread modeling
Evacuation planning tools
Resource coordination
Field team tracking
Emergency communication systems
Long-Term Vision

Our long-term vision is to transform Wildfire Watch Canada into a national wildfire intelligence platform that helps:

Communities prepare earlier
Emergency responders coordinate faster
Governments monitor wildfire risks more effectively
Vulnerable communities receive faster alerts

By combining AI, environmental data, and accessible communication systems, Wildfire Watch could help protect lives, ecosystems, and communities across Canada.