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The increasing demand for electricity has pushed power systems to operate close to their stability limits, often leading to blackouts and disruptions. This project focuses on optimizing voltage stability analysis to predict blackout risks using the Voltage Collapse Proximity Index (VCPI). The primary objective is to identify the weakest load buses within an electricity system and evaluate their stability under varying conditions. An IEEE 57-bus test system is employed to simulate and analyze voltage magnitudes, identifying unstable buses based on standard thresholds. Results demonstrate that buses with voltage magnitudes outside the range of 0.95 to 1.05 per unit are prone to instability, while VCPI values nearing 1 indicate an imminent risk of system collapse. This analysis highlights Bus 18 as the weakest load bus, requiring immediate intervention to mitigate blackout risks. As a future recommendation, integrating solar photovoltaic systems at critical load points is proposed to enhance stability and ensure a reliable electricity supply. This study provides valuable insights into voltage stability assessment and serves as a predictive tool for preventing large-scale blackouts.