Create a system that uses AI to predict potential risks during events such as overcrowding, weather issues, or resource shortages, providing early alerts to organizers for proactive management.
Gather historical event data, including crowd patterns, weather, and incidents.
Design database schema for storing event risks, predictions, and preventive measures.
Implement AI models to predict risks based on real-time and historical data.
Develop frontend dashboards showing predicted risks, alerts, and recommended actions.
Integrate backend services for data collection, AI inference, and alert notifications.
Test prediction accuracy, system reliability, and user interface usability.
Deploy on cloud servers for scalable real-time risk management.
Document AI methodology, data sources, and deployment procedures.
