 This research study has demonstrated the potential of artificial intelligence, AI, models such as artificial neural networks, ANS, and fuzzy logic systems, FLSs, to improve construction scheduling accuracy. The AI models were able to accurately predict the project's progress based on historical data, site-specific conditions, and other variables that traditional scheduling methods may not consider. These models can be used to optimize project performance and reduce costs. This article was authored by Jude Ilaobucio Bienio, Richard Chinini Udila, and George Uwadigu Aleneen.