TechSmith’s mission enables users to communicate and share their message through media capture and editing software. Founded in 1987, based in East Lansing, Michigan, TechSmith’s products, notably Snagit and Camtasia, are employed by over 80 million users worldwide and within all Fortune 500 companies.

In the modern day, it is essential that videos cater to individual user’s preferences to keep watchers consistently engaged. Unfortunately, on most video platforms, the video shown to the viewers is the final edited version from the creator. The video watcher is unable to express any live feedback as they watch the video and are limited to the small interaction interface underneath the video playback.

Our Watcher of Attuned Video Experiences (WAVE) web application enhances the video watching experience by editing videos according to the viewer’s needs.

WAVE gives users a pre video questionnaire to declare their viewing intention. The user’s preferences and viewing intention are used to determine which parts of the video the user may want to skip. Skipped sections may be added back later if the user requests additional context. Additionally, a chatbot is available next to the video player to enable users to ask questions or make requests. Over time, WAVE gains more insight into a user’s preferences, enabling WAVE to tailor a better viewing experience after every video.

By continuously adapting to the viewer’s behavior and feedback, WAVE ensures an increasingly personalized experience. The system not only improves viewer satisfaction but also increases video retention and engagement across diverse audiences.

WAVE consists of a React Typescript front end and a Python Flask back end. The application is hosted on an Azure web server and uses an Azure SQL server and Blob storage. In addition, WAVE leverages Open AI’s Whisper, ChatGPT-4o, and FFmpeg.