Problem Statement
Grading public speeches isn't easy. Over the recent years, class sizes have increased, yet speech professors haven't been provided extra support to manage the load. This makes it difficult for instructors to give personalized, timely, and consistent feedback to every student. At the same time, students often struggle to understand exactly how to improve their delivery, posture, pacing, or vocal tone without in-depth personal feedback. The current process lacks efficiency and clarity, leaving both instructors and students overwhelmed.
Our Solution
This application addresses the problem by providing automated, insightful analysis of student speeches, breaking down elements like eye contact, filler words, word choice, speech tempo, pausing, and improper body language. It supports instructors in evaluating performance with more efficiency, while also empowering students to reflect on their progress and actively improve their public speaking skills.
Teachers have the ability to create classes, where students can join, allowing them to upload their practice speeches and supplemental information about their speech. Upon upload, Toast! will analyze their body language, highlighting moments where students may look nervous/unconfident. Simultaneously, the application also analyzes the audio, breaking down what emotions are used, the speed of their speech, moments where users take pauses, and filler words used. This data is then evaluated against the speech's context. Valuable insights are provided to the user after processing, showcasing a visual breakdown of their speech structure, highlighting key places of improvement in their physical and verbal delivery.
After students have submitted their videos to a class, teachers are then able to review the video analysis'. Teachers will be given metrics on student performances, sharing suggestions on where improvements can be made, streamlining the grading process. Teachers will additionally have the ability to provide their own feedback with inline comments of videos, allowing for a more meaningful feedback process.