Page No:
9817-9821
The rapid growth of online education has resulted in an overwhelming amount of digital lecture content. Efficiently ex- tracting and understanding key information from lengthy lectures remains a significant challenge for students and professionals alike. This paper examines an AI-based lecture summariza- tion system that integrates OpenAI’s Whisper for speech-to- text transcription and advanced natural language processing (NLP) techniques to generate structured summaries. The system’s potential to enhance learning efficiency, reduce cognitive load, and support multilingual education is explored. Additionally, the paper addresses key challenges such as transcription accuracy, summarization quality, and implementation constraints.
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