Transformer architectures and pre-training have facilitated building higher-capacity models and effectively utilizing this capacity for a wide variety of tasks. Various libraries consist of carefully engineered state-of-the-art Transformer architectures under a unified API. But still, there exists no such system which detects the chemicals present in the Beauty products reviews on online e-commerce websites. On the market, there are thousands of different cosmetic products, all with different combinations of ingredients. Methods such as token identification and entity recognition transformer model advancing in both model architecture and model pre-training are implemented to identify and categorize the named entities.