One-of-a-kind music experience that is tailored to preferences of the crowd with the assistance of AI and an array of sensors.
The goal is to deliver a truly unique performance for the attendees, which is why I collect data from various sensors, such as thermal cameras and seismographs, prior to the show. Following the regular DJ performances, the AI-assisted set will begins based on the data collected.
After the event, I present the dataset, which will be free for all to access and will not include personal information. Dataset includes music features, track collections, and crowd attributes, such as the average coefficient of movement per person. Additionally, dataset includes thermal camera recordings, with blurred faces, of the event for analysis.
This personalized approach to music events is a new and innovative concept that has not been widely implemented before. Additionally, the presentation of the dataset after the event for public access promotes transparency and allows for further analysis and understanding of the relationship between music and crowd behavior.