PHYSICIAN MEDICAL REPORT SUMMARIZATION USING A FINE-TUNED GOOGLE FLAN-T5 MODEL
Research paper by H Y Vani and collaborators, published 2025 in ICTACT Journal on Data Science and Machine Learning. Research area: Topic Modeling.
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Research paper by H Y Vani and collaborators, published 2025 in ICTACT Journal on Data Science and Machine Learning. Research area: Topic Modeling.
Content creators face a persistent gap between spotting a trend and producing something usable from it: trendtracking tools such as Google Trends report what is popular but do not generate content, while generic AI writing and image tools generate content without any awareness of what is currently trending. We present TrendMorph, a system that connects the two by combining real-time trend collection from YouTube, X (Twitter), Reddit, and Pinterest with a multimodal generative pipeline for captions, hashtags, and images. Captions are produced by pairing BLIP image understanding with a fine-tuned T5-small text generator; images are produced wit
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