  With the increase in video-sharing platforms across the internet, it is
difficult for humans to moderate the data for explicit content. Hence, an
automated pipeline to scan through video data for explicit content has become
the need of the hour. We propose a novel pipeline that uses multi-modal deep
learning to first extract the explicit segments of input videos and then
summarize their content using text to determine its age appropriateness and age
rating. We also evaluate our pipeline's effectiveness in the end using standard
metrics.
