Use case on web-based integrated project-monitoring platform

Source summary

The PAIMANA use case asks for open-source predictive analysis of infrastructure cost/time overruns and implementation risk using OCMS history and current project records. Teams should compare AI/ML with conventional statistical methods and assess how much existing Common Upload Form fields explain versus missing variables. Risk scores, alerts, benchmarking, dashboards or an LLM assistant are indicative outputs, not all mandatory. Alternative justified methods are explicitly permitted.