Scientific research continuously illustrates that aging can be delayed, treated, or even avoided and, as a result, health can be maintained by consuming health-promoting antioxidants. Food, nutrition, nutrients, and the health advantages linked with them are becoming more important to consumers. As a result, a nutrition industry based on natural foods and antioxidants is emerging, with consumer decisions driving economic growth. Information technology, especially artificial intelligence (AI), is set to dramatically extend the field of skin aging therapies accessible to consumers by systematically finding and characterizing natural, effective, and safe bioactive compounds (bioactives) that address aging. A literature search was conducted using the keywords in PubMed: "deep learning antioxidant", "algorithms antioxidant", "neural networks antioxidant", "support vector machine antioxidant", "natural language processing antioxidant", "computer vision antioxidant", "artificial intelligence antioxidant", and "machine learning antioxidant". There were a total of 146 papers chosen for evaluation. This research only looked at full-text papers that were available for free. The relevance of the abstracts was determined, and 29 publications were judged to be relevant to the current study. To summarize, AI has the potential to help in a variety of antioxidant identification discovery fields. As with any concept, it is unlikely to be a panacea, but its use should be expanded to help scientists in their various roles and specialties throughout the process.