Potential User Stories for AI-driven Wildfire Prediction

As a parent/guardian, I want an AI system that can predict wildfire risks and provide early warnings so that I can take preventive actions to protect my family and ensure they stay safe in case of an approaching wildfire.
- Acceptance Criteria:
  - The AI system uses real-time data (weather patterns, forest conditions, historical wildfire data) to predict wildfire risks.
  - The system provides early warnings of potential wildfire threats in my area via push notifications or alerts.
  - The system has a visual map that highlights areas with high wildfire risk, showing safe evacuation routes and shelter locations.
  - The system can integrate with local emergency services to provide real-time updates and evacuation instructions.
  - The system is accessible through a mobile app, and notifications are sent instantly if the wildfire risk increases or a fire breaks out.

As someone without a driver’s license, I want an AI-powered wildfire prediction system that can alert me about nearby fires and help me find evacuation options so that I can evacuate quickly and safely without relying on personal transportation.
- Acceptance Criteria:
  - The AI system uses predictive models to identify areas at risk of wildfires based on environmental and weather conditions.
  - The system provides clear, easy-to-understand alerts indicating whether a wildfire is near or expected in the coming hours/days.
  - The system suggests safe evacuation routes and alternative transportation options (e.g., public transport, nearby shelters).
  - The system allows users to input their location and receives notifications about fire risks in that area, as well as evacuation recommendations.
  - The system can provide real-time updates on air quality and fire conditions, helping users make informed decisions about evacuation.

As an emergency services provider, I want an AI system that can predict wildfires and optimize resource allocation for firefighting and evacuations so that we can respond faster, prevent loss of life, and minimize the damage caused by wildfires.
- Acceptance Criteria:
  - The AI system uses historical data, weather forecasts, and satellite imagery to predict where wildfires are likely to occur and how they will spread.
  - The system can provide forecasts for the size, speed, and direction of wildfires, helping to allocate firefighting resources in advance.
  - The system integrates with fire department databases and emergency response systems to give real-time updates about fire progress, areas under threat, and areas needing immediate evacuation.
  - The system can suggest evacuation zones, shelter locations, and safe routes for both civilians and emergency responders.
  - The system has an API for emergency services to access predictive wildfire models, fire locations, and resource distribution information to aid in decision-making.

As a local government official, I want an AI-driven wildfire prediction and risk management system so that I can make informed policy decisions on wildfire prevention, allocate resources effectively, and ensure public safety.
- Acceptance Criteria:
  - The system provides long-term wildfire risk assessments based on climate data, land use patterns, and forest conditions.
  - The system offers recommendations for creating buffer zones, firebreaks, and controlled burns to mitigate wildfire risks.
  - The system tracks wildfire seasonality and trends, helping officials prepare better for peak wildfire seasons.
  - The system generates reports on the effectiveness of current prevention strategies and provides suggestions for future improvements.
  - The system includes an interactive dashboard for monitoring real-time wildfire predictions, active fires, and response strategies.

As an environmental researcher, I want an AI system that analyzes ecological data and predicts wildfire behavior so that I can study the impacts of wildfires on ecosystems and develop strategies for wildfire prevention and forest management.
- Acceptance Criteria:
  - The system integrates environmental data such as vegetation density, moisture levels, and soil conditions to assess wildfire risk.
  - The system uses AI models to simulate the spread of wildfires based on different environmental and weather conditions.
  - The system allows researchers to study past wildfire events and analyze their ecological impact, such as species loss and habitat destruction.
  - The system provides insights into the correlation between climate change, land use, and wildfire frequency.
  - The system allows researchers to propose and test different wildfire prevention strategies using AI simulations.