The disclosed systems and methods provide for generating real-time egress plans for users in a building, based on the users' current locations. As the users' current locations change, egress plans associated with the users can be dynamically modified in real-time. The egress plans can also be generated, modified, and/or trained based on inputted information about the user. The disclosed technology can include a mobile application for presenting, in a centralized interface, information about user-specific egress plans, training the user for different emergency scenarios, improving or changing features in the building to improve safety, and user profiles. The mobile application can include training simulation games to help prepare the users to safely egress during an emergency. The disclosed technology can also predict building component and structure emergency risk levels. The disclosed technology can also designate zones in the building based on possible egress routes.
Systems and methods for machine learning-based emergency egress and advisement