Crime Scene Analysis for News Headline Generation

The news headline generation of crime is a tedious task in journalism reporting that requires analysis and creative skills. Often, human observation and reasoning is subject to error or fallacies, and it is a time-consuming task. Hence an automated headline generation mechanism would greatly benefit media teams. The traditional approach of news headline generation primarily relies on textual data and not on images, which may not always provide a comprehensive understanding of the story. Generating headlines from images requires a deep understanding of the visual content and the ability to extract relevant information. Thus, there is a need for a system that can leverage the power of image detection to automatically generate news headlines that accurately reflect the visual content of an image. This research, which has been proposed by this paper could potentially revolutionize the way news headlines and articles are generated, as it would allow for a more nuanced and accurate representation of the crime scene.