Building An End-To-End Video Summarizer Using Agentic AI And Langflow
Abstract
With the exponential growth of video content,
extracting key insights
efficientlyhasbecomeacritical challenge. This
project aims to develop an end-to-end video
summarizer leveraging AgenticAIandLangflow.
Agentic AI enables autonomous decision-making
in processing videos, identifying crucial
segments,and generating concise summaries.
Langflow, a low-code AI workflow tool, facilitates
seamless integrationofAI models, optimizing the
summarization process. The system employs
advanced natural languageprocessing(NLP) and
computer vision techniques to analyze video
content, extract meaningful highlights,
andgeneratetext-based or visual summaries. This
approach significantly reduces manual effort in
content analysis,benefiting applications such as
education, media, and surveillance. The project
demonstrates ascalable,efficient, and intelligent
solution for video summarization, enhancing
accessibility and content consumption.
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References
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