With the rapid growth of movies and over-the-top (OTT) streaming platforms, managing and identifying video clips efficiently has become a challenging task. Traditional video identification systems rely on manual tagging and metadata-based search techniques, which are time-consuming and often inaccurate. This paper presents an AI-based video clip identifier that automatically recognizes and identifies video clips from movies and streaming platforms using machine learning and deep learning techniques. The proposed system extracts video frames, analyzes audio-visual features, and applies convolutional neural networks to accurately match and identify video clips.