Sabuncubeli stream was chosen as the research area for this study. The aim of the study is to identify areas prone to flooding and provide recommendations for mitigating the flooding in order to protect agricultural areas, residential areas, places of worship, industrial establishments, and tourist facilities along the Sabuncular Creek. Nature-inspired computing (NIC) is a novel field that aims to develop computing techniques by observing how natural phenomena solve complex problems in different environmental scenarios. Understanding the functioning and rationale behind these natural models not only provides insights into nature but also helps in comprehending the underlying relationships between familiar algorithms. These algorithms are effectively utilized in flood and inundation analysis to map the impact of natural factors and causes on flood occurrence and floodplain mapping. To assess the flood potential of Sabuncular Creek and model the current flood situation, a hydraulic model using HEC-RAS was developed. The model included sections with a maximum length of 20.00 and 50 m in meandering sections of the stream, critical locations upstream and downstream of artificial structures, and sections with a straight route where the stream cross-section remains unchanged and does not exceed 100.00 m. The hydraulic results for flood are calculated using flow inputs for 50 year, 100 year and 500 year floods. The current hydraulic model and the potential impact of floods resulting from the current hydraulic conditions on the Sabuncular stream route and the corresponding flood hazard areas for various frequencies were determined.