Toxicity Detection in Soap using Deep Learning

One of the most generic skincare products used by the majority of the masses is soap, which is availablein a variety of colors, shapes and fragrances. People generally tend to purchase soaps based on appearances and brand but unfortunately are unaware of the harmful chemical substances which are used in the process of manufacturing which deteriorates the skin causing long term damages. Furthermore, the popular brands in the market are endorsing soaps that predominantly contain carcinogens and the consumers are not aware of the health-hazards. Deep learning principles included in the suggested technique can be utilized to forecast soap’s toxicity based on the presence of dangerous ingredients. A deep learning model is created using the previous dataset which is the most essential part of deep learning. Machine learning is used to create a categorization model once the data has been displayed to aid in characteristic analysis. The precision, recall, and F1 score performance indicators are used to assess some algorithms.