Prezp

I led the project “Prezp,” which aimed to analyze speech and train users to speak eloquently and develop their rhetorical skills.

The main objectives of the project included developing training software capable of analyzing users’ speech using artificial intelligence technologies. We aimed to provide users with tools for self-analysis and training in various aspects of communication, including language skills, audience understanding, the use of rhetorical devices, and overall confidence in public speaking.

During the project development, we implemented functionality that allowed users to record their speeches, after which the software would analyze and provide feedback on the effectiveness and quality of their performance. We used machine learning and natural language processing technologies to detect pronunciation errors, word repetitions, the use of jargon, and other aspects that could be improved.

As the project manager, I led a team of developers and designers, collaborated with rhetoric experts and artificial intelligence specialists. We conducted user testing and gathered feedback to improve the functionality and meet the needs of our clients.

The result of the “Prezp” project was the creation of an innovative tool for learning and developing rhetorical skills. We received positive feedback from users who noted improvements in their communication skills and confidence in public speaking. This project became an important part of my portfolio, showcasing my ability to lead projects and create useful and innovative solutions in the field of communication.