This project extracts sentiment from earnings call transcripts using fine-tuned NLP models like BERT. The system scores sentiment by topic (financial metrics, macro trends, regulation) and time, helping institutional investors interpret qualitative insights to support financial decisions. A custom dashboard enables visualization and drill-down analysis of paragraph- and keyword-level sentiment trends.