Virtual public speaking coaches
TEXT_INPUT:Ask the user to input their speech topic.;;CHATGPT:Ask ChatGPT to generate an outline for the speech with the provided topic.;;TEXT_INPUT:Ask the user to input their speech content.;;CHATGPT:Ask ChatGPT to provide suggestions and improvements for the speech content.;;DISPLAY_OUTPUT:Display the final speech outline and content with the suggested improvements for the user to review.
Generative AI models such as Language Models (LLMs) like ChatGPT and image generators can be integral to virtual public speaking coaches. Firstly, LLMs can be used to provide instant feedback on speech content, suggesting edits for clarity, coherence, and impact. They can simulate Q&A sessions allowing users to prepare for all possible scenarios. Secondly, image generators can create realistic audience reactions based on speaker performance, helping individuals to adjust their delivery style.
Furthermore, using AI's ability to process large data sets, a public speaking simulator can be developed. It can analyze real-world speeches, learn the patterns conducive to effective speaking, and provide tailored suggestions for improvement. Similarly, AI can be used for real-time speech-to-text transcriptions to give live feedback during practice sessions. Combining neuroscience insights, AI can also be built to guide on pacing, inflection, and other vital parts of public speaking.
How to build with Clevis
This is an example of an application that you can build using a tool called Clevis. The application, named 'Virtual Public Speaking Coaches', assists users with improving their public speaking skills. In the same vein, Clevis allows you to build similar AI-powered apps to advance user capabilities.
Here’s a high-level working model rundown:
The process begins by prompting the user to enter their speech topic. This is achieved through the Text Input step. Seatbelts on, we then move to the ChatGPT stage where OpenAI's language model, ChatGPT, is engaged to help generate a creative and effective speech outline using the provided topic.
Moving forward from the outline, the app then requires the user to input their speech content, following the Text Input step again. The ball then bounces back to ChatGPT’s court, where it scrutinizes the speech content provided by the user and furnishes recommendations for enhancement. This forms the second ChatGPT stride.
Falling into the home stretch, the final step Display Output acts to present the user with the final speech outline and content, refined with ChatGPT's suggestions. The clear interface allows the user to review and learn from the modifications made by the AI. This valuable insight can act as a stepping stone for their public speaking journey.