Summarization and Translation of NPTEL Videos into Regional Indian Languages

In order to improve educational content accessibility for a variety of audiences, this study proposes a system for summarizing, translating, and turning NPTEL lecture transcripts into audio in regional Indian languages. Transcripts are preprocessed, succinct summaries are produced using sophisticated models like DistilBART, BART, T5, Google Pegasus, and BERT-sum, and they are assessed using BLEU and ROUGE metrics. DistilBART outperformed the others with the highest BLEU score 45.13, ROUGE 1 F1, score of 74.31, and ROUGE 2 F1 score of 68.29 thereby showing competency in summarizing educational content. Technical words were kept in English for consistency while summaries were translated into Tamil, Telugu, Malayalam, Kannada, and Hindi using the Google API. Google Text-to-Speech (TTS) was used to turn the translated summaries into audio, resulting in outputs that were clear and natural and evaluated by native speakers and subject matter experts. By bridging linguistic and technological divides, this scalable multi-modal solution makes excellent educational materials accessible to audiences that do not speak English.