This project utilizes GIS-based suitability modeling to identify potential hydropower sites in Dolakha and Sindhupalchowk districts of Nepal, regions characterized by steep terrain, major rivers like Tamakoshi, Bhote Koshi, and Sunkoshi, and proximity to Kathmandu, making them ideal for hydropower development. potential, The study relied on secondary data sources, including DEM for elevation, slope, stream order, and TWI, as well as data from OpenStreetMap, USGS, ICIMOD, and WorldPop, processed in QGIS to generate thematic layers for analysis. Using a combination of GIS and Analytical Hierarchy Process (AHP), factors such as stream order, slope, geology, LULC, TWI, road proximity, and population density were weighted, standardized, and combined into a suitability index map, which identified 120 high-potential dam sites covering areas over 100,000 square meters. The methodology effectively validated results against existing hydropower sites, but its reliance on subjective weight assignment and lack of dynamic environmental considerations posed limitations. Future advancements could incorporate hydrological models like HEC-RAS or SWAT and integrate machine learning for improved accuracy. The study demonstrates the effectiveness of AHP-GIS-based multi-criteria decision analysis for systematic and sustainable hydropower site selection in Nepal.