Development of AI-Assisted Cost Optimization Algorithm for Single-Story Residential Buildings in Nigeria

1. Introduction 1.1 Background and Rationale 1.2 Objectives of the Study 1.3 Scope and Limitations 1.4 Structure of the Thesis 2. Literature Review 2.1 Cost Optimization in Construction 2.2 AI in Construction Industry 2.3 Current Practices in Nigeria 2.4 Algorithms in Cost Management 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Algorithm Development Process 3.4 Validation and Testing 4. AI-Assisted Cost Optimization 4.1 Conceptual Framework 4.2 Integration of AI Techniques 4.3 Key Features of the Algorithm 4.4 Benefits Over Traditional Methods 5. Application to Residential Buildings 5.1 Characteristics of Single-Story Houses 5.2 Affordability and Cost Factors 5.3 Implementing the Algorithm 5.4 Case Study Analysis 6. Results and Discussion 6.1 Performance Metrics 6.2 Comparison with Existing Solutions 6.3 Impact on Cost Efficiency 6.4 Implications for Nigerian Market 7. Challenges and Limitations 7.1 Technical Barriers 7.2 Data Availability Issues 7.3 Implementation Hindrances 7.4 Future Research Directions 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Policy Recommendations 8.3 Recommendations for Industry 8.4 Final Thoughts