Currently, streaming video content is evaluated by smartphone manufacturers subjectively to indicate possible perceived flaws in receiving the content. However, many flaws are not noticed and can have unpleasant effects on the end user if they are not addressed. This article proposes to use Artificial Intelligence (AI) techniques to align the user's visual demands with an objective assessment. The methodology applied consists of combining the Video Quality Metric (VQM) and Structural Similarity Index (SSIM) algorithms using AI techniques, in order to provide an indication of degradation of multimedia content without the interference of possible transmission noise on the network. data. The results obtained show a level of accuracy in the similarity analysis of static multimedia structure at 99.42% and 99.10% for dynamic media, consumed during testing time. The main contribution of this work is to the computing society, which will be able to apply an objective tool in the evaluation of multimedia content