• Sayali Belhe
• Soham Mhetre
• Meghraj Bahir
• Abhijeet Jadhav
• Ayush Mane

This research project aims to create a robust video transcript summarization tool leveraging advanced Natural Language Processing (NLP) techniques. The proposed methodology encompasses key stages, starting with comprehensive data collection, preprocessing, and tokenization of video transcripts. Through in-depth text analysis, the system identifies essential entities, sentiments, and phrases, employing techniques like keyword extraction and sentence ranking to prioritize critical content. The choice between extractive or abstractive summarization algorithms is made based on suitability, and the selected algorithm is implemented using appropriate tools and technologies. Rigorous testing and evaluation, incorporating metrics such as ROUGE, ensure the quality of generated summaries. An iterative refinement process is employed to address any algorithmic shortcomings, enhancing accuracy and overall effectiveness. Additionally, the research emphasizes user-friendliness with the optional design of a user interface for ease of interaction. The summarization tool is then deployed in a relevant environment, with continuous monitoring, maintenance, and user feedback contributing to ongoing improvements. Importantly, the project places a strong emphasis on ethical considerations and adherence to legal standards, especially in handling sensitive content. This abstract outlines a comprehensive plan for the development and deployment of a sophisticated video transcript summarization tool, addressing various aspects of the process and ensuring its robustness, accuracy, and ethical soundness.

"ContentCraft: Tailored Video Summarization With NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.e558-e562, April-2024, Available :http://www.jetir.org/papers/JETIR2404460.pdf

"ContentCraft: Tailored Video Summarization With NLP", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppe558-e562, April-2024, Available at : http://www.jetir.org/papers/JETIR2404460.pdf