This study examines the impacts of Land Use Land Cover (LULC) and climate change on groundwater dynamics in the semi-arid Chitravathi River basin in Southern India. Using GIS, it identifies suitable sites for artificial recharge structures. GCMs are ranked for precipitation and temperatures using the Taylor Skill Score (TSS). Rating Metric (RM) was preferred to establish the final rank of the GCMs. An ensemble of projections from the top four ranked GCMs (MPI-ESM1-2-LR, EC-Earth3, MPI-ESM1-2-HR, and INM-CM5-0) were used. Six extreme precipitation indices, namely, consecutive dry days (CDD), consecutive wet days (CWD), total wet-day precipitation (PRCPTOT), R10mm (days), R95p (very wet days in mm), RX1day (maximum 1-day precipitation in mm) were calculated as per ETCCDI recommendations. Trend analysis of all the above parameters was calculated using Mann-Kendall (MK) and Spearman's rho tests.  Future LULC maps were produced with CA-ANN, and SWAT model simulations evaluated the impacts on groundwater recharge. The SWAT model, calibrated and validated with monthly discharge data (R2=0.83, NSE=0.81), estimated recharge for baseline (1985-2014), near-future (2015-2030), mid-future (2031-2060), and far-future (2061-2100) under SSP2-4.5 and SSP5-8.5 scenarios. The MODFLOW model, calibrated with 2014-2022 groundwater level data and validated with 2020-2022 data (R2=0.96, 0.94), predicted future groundwater levels. Recharge under constant LULC conditions ranged from 135-215 mm/year (SSP2-4.5) and 149-316 mm/year (SSP5-8.5), showing increases from the baseline (116.4 mm). However, groundwater levels are projected to decrease by 54 m (SSP2-4.5) and 62 m (SSP5-8.5) by 2060, indicating poor resiliency. In response, a study was conducted to identify favourable sites for artificial recharge using Weighted Overlay Analysis (WOA) and Analytical Hierarchy Process (AHP) in GIS. The resultant map provides valuable guidance for sustainable groundwater management in the basin.