Online meeting summarizer and report generation using GenAI
Sanika Ingle, Kshitij Todkar, Sunit Kapure, Govardhan Yadav, Vidyashree Kokane · 2024
In the contemporary digital milieu, online meetings have seamlessly woven into the intricate tapestry of communication & collaboration, underscored by the exponential growth of virtual platforms being used today. This surge has engendered a rich exchange of information & knowledge, albeit presenting formidable challenges in today&s;s comprehension and documentation. Leveraging the advancements in generative AI technologies & LLMs, the realm of automated summarization and report generation from online meeting transcripts has burgeoned. This survey meticulously navigates this landscape, dissecting the methodologies, algorithms, and practical applications underpinning insights and synthesizing discussions from these transcripts. Through a discerning lens, the survey examines an array of approaches, encompassing sophisticated LLM models, intricate deep learning architectures, and generative AI, while highlighting endeavors to refine accuracy through context awareness, face recognition, voice modulation & sentiment analysis. Furthermore, the paper probes the labyrinthine challenges posed by linguistic ambiguities and the intricate management of multifaceted data streams, illuminating ongoing research pursuits aimed at overcoming these barriers, thus paving the way for a more streamlined and effective framework for online communication and collaboration in this fast-growing technological world.