Our team improved our web application and emotional analysis capabilities this week. We enhanced the web app by adding a dedicated audio window, substantially improving transcript accuracy. We also introduced key moments detection and an emotional state timeline, providing users with a more comprehensive analysis of emotional patterns over time. The audio team tested various weighting approaches in our audio models and integrated the best-performing version into the web application. Our transcript analysis received a big upgrade as we expanded from our seven core emotions to utilize all 24 emotions available in the model, resulting in more nuanced emotional detection.

Next week, we’ll continue refining our system with several planned enhancements. The audio team will incorporate Silero for improved voice detection, while the transcript team will integrate the detailed emotion spectrum into our summary generation. We’ll evaluate the current Huggingface model in our web app against our best-performing custom models. Additionally, we’ll update our poster and promotional video based on the feedback received and begin work on our Final Design Review draft.