Personality Analysis for Leadership Role using NLP

Leadership assessment requires analyzing traits such as decision-making, emotional balance, and moral judgment—key indicators of suitability for civil and defense roles. This paper presents a Natural Language Processing (NLP)-based system for automated personality analysis through standardized psychological tests: Word Association Test (WAT), Situation Reaction Test (SRT), and Thematic Apperception Test (TAT). Responses are evaluated using fine-tuned BERT models for classification and regression, while narrative data is interpreted through a large language model for cognitive and emotional inference. Experimental results demonstrate 72% average accuracy and consistent trait prediction. The proposed framework enables scalable, unbiased, and explainable leadership profiling, bridging psychological evaluation and artificial intelligence.