The PLS -Preferred Learning Style GenAI Application
The PLS is a Python-based application utilizing Google's Generative AI (gemini-1.5-flash model) to generate customized speeches. Targeted applications include educational materials, Toastmasters-style public speaking, and business communication. By integrating user inputs and leveraging cuttingedge AI, PLS demonstrates the potential of generative AI to revolutionize public speaking, accessibility, and professional communication. PLS stands out for its versatility, enabling users to specify topics, desired elements, and preferred delivery styles, including text, voice scripts, and video scripts. Designed to engage both the logical and creative hemispheres of the brain, the system produces content that educates, informs, entertains, inspires, and challenges. The core innovation of PLS lies in its ability to precisely tailor speeches on real-time user inputs, generating content that aligns not only with the subject content but also with the emotional and logical intent of the speaker. Furthermore, PLS’s ability to seamlessly switch between multiple formats (text, voice, and video scripts) differentiates it from existing solutions, ensuring adaptability for various professional and educational use cases. This paper presents an in-depth evaluation of PLS, demonstrating its superiority over conventional speech generation tools through performance metrics, case studies, and user feedback.
Authors
- Madhumita Mishra (ORCID: https://orcid.org/0000-0002-1866-1144)
- Ronak
- Manjit Singh Sodhi (ORCID: https://orcid.org/0009-0004-8352-472X)
- Sanjana Ramesh
- Parvathy Rajeev
- Abhilasha Mangal
- Tarun U Rathod
Institutions
- Gujarat Matikam Kalakari & Rural Technology Institute (IN)
- IBM (India) (IN)
- REVA University (IN)
Publication Details
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1109/icmlt65785.2025.11193173
- Primary Topic
- Educational Technology and Assessment
- Type
- article
- Field-Weighted Citation Impact
- 0.00