Real GIS problems · Real data · Real Nepal
Applied AHP-based multi-criteria decision analysis to identify optimal locations for solar-powered electric vehicle charging stations along Nepal's 158km BP Highway corridor. Integrated DEM, LULC, solar radiation, slope, bulk density, and road proximity layers in ArcGIS with a consistency ratio of 0.058.
Proposed a modular human-in-the-loop AI framework for Nepal's land registration system - integrating deep learning boundary detection, OCR-free document transformers, entity resolution, and anomaly detection aligned with LADM (ISO 19152) and fit-for-purpose land administration principles.
Google Earth Engine analysis of deforestation and urban growth using multispectral imagery, NDVI time-series and supervised classification.
ArcGIS hydrological modelling using digital elevation models to identify flood accumulation zones and high-risk corridors.
Field GNSS survey of KU campus, processed into contour maps and elevation models for urban planning coursework.