This NLP project delivered a comprehensive pipeline that processes unscripted video files, transforming raw video content into actionable insights. The process begins with automatic transcription, where speech is converted into text, followed by real-time translation using transformer-based models. To add depth, emotion classification is applied to the transcription, utilizing advanced transformers to identify emotional tone and sentiment, offering a nuanced understanding of the video’s content.