STM Journals Peer-reviewed research from Consortium e-Learning Network

2 publications

  • Published Subscription Review Article

    Transcript Summarizer of YouTube Videos Using Deep Learning

    By Jayesh Chavan, Smita Palnitkar, Ajinkya Kaje, Chaitanya Bhopnikar

    Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …

    Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article

  • Published Subscription Review Article

    Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images

    By Sakshi Londhe, Smita Palnitkar, Vishnupriya Kannadkar, Shubhangi Magar

    Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …

    Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article

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