This research addresses the urgent challenge of increasing flood frequency and intensity by developing an evidence-based Risk-Integrated Resilience (RiR) framework. The study was conducted in the downstream region of the West Rapti River Basin (WRB) in the Nepal Himalaya, where disaster risks are rising due to extreme weather and unsustainable development. The RiR framework bridges scientific understanding of risk, focusing on hazard and vulnerability, with community-based resilience strategies across five key capitals: human, social, economic, physical, and natural. It also considers three resilience capacities: coping/recovery, adaptive, and transformative. To map flood risk zones, HEC-RAS 2D hydraulic modeling was used to simulate inundation levels from the extreme 2014 flood event, and results were validated with field data. The RiR index was calculated using data from 156 households and analyzed using a combined Shannon Entropy–AHP method across 60 statistically significant indicators. Here, Entropy and AHP are objective and subjective methods respectively. Results showed an overall resilience index of 0.44, with the moderate-risk zone having the highest resilience. The RiR framework offers a practical approach to integrate risk science with community realities, making it valuable for planning sustainable Disaster Risk Reduction (DRR) efforts aligned with the Sendai Framework for Disaster Risk Reduction.