AI-DRIVEN DATA MODELING AUTOMATION

A self-learning system for monitoring and removing toxic content is proposed in this paper for retail industries.Due to the use of NLP, CNNs, transformers, and a continuous learning loop, the system detects harmful information found in both texts and images.Accuracy and efficiency in spotting toxic comments are high in different circumstances when using the toxicity detector.