AI-DRIVEN DATA MODELING AUTOMATION
DOI:
https://doi.org/10.34218/IJCET_16_03_030Keywords:
Automation, AI, Modelling, DataAbstract
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.
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Copyright (c) 2025 Balaji Conda Shankar (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
