Real-world disasters such as forest fires frequently result in significant losses of life, property, and ecosystems. These are all seriously threatened by forest fires, which makes risk mapping an essential tool for preventive management and mitigation. This research investigates the forest-prone areas of Wayanad district in Kerala, India. The frequency ratio (FR) technique is used in this work to map the prone area of forest fires using a geographic information system (GIS). The FR technique is an analytical tool in spatial statistics that identifies high-risk locations by correlating fire incidence with different environmental and socioeconomic parameters. Environmental factors such as vegetation, terrain, land use, and climatic conditions were combined with data from past fire incidents to create a GIS framework. The association between these factors and the incidence of fire incidents was measured using the FR approach. The present study created a risk index that shows locations of highly prone areas of forest fires by figuring out the frequency ratio for each element. According to the study, the risk of fire is greatly influenced by elements including the density of vegetation, the slope, and the closeness to metropolitan areas. Targeted preventive and response tactics are made easier by the risk map that is produced using GIS technologies and gives a visual depiction of areas that are prone to fires. This approach helps policymakers and forest managers better allocate resources and prioritize areas for improvement. By combining the frequency ratio technique with GIS technology, forest fire risk assessment is demonstrated to be robustly approached, providing insightful information that can be used to improve overall forest management practices and lessen the effect of forest fires.