Portrait of Emotions is an interactive, dual-language portrait generator that uses facial emotion recognition to create a text-based image reflecting a user's emotional journey over the span of one minute. By capturing subtle shifts in expression, the system builds a visual representation composed of all detected emotions in real time. The experience allows users to witness how their emotional states evolve and shape the portrait as it forms and all text will collapse upon releasing. The project is developed using P5.js and the ML5 emotion recognition library.