The primary objective of this research was to assess the efficiency of RS and GIS for predicting the flood risk using the Frequency ratio, Entropy index, and Weight of evidence-information Value models. Consequently, for spatial analyses fourteen flood conditioning variables are constructed. The research region is experiencing floods consequently in the past with moderate to high intensities. The assessment demonstrates that parameters such as elevation, LULC, rainfall, distance from rivers, and drainage density contributed significantly to the occurrence of floods. The validation of the results indicates that the success rate of the presently constructed models. Around 33 per cent to 47 per cent of the total area of each block in the subdivision is projected to be in danger of floods. The report's findings will aid planners in designing flood prevention measures as part of regional flood risk management programs and will serve as a platform for future research in the study area.