Deep learning for life cycle assessment (LCA) score prediction on plastic bottle packaging products

Plastic waste is one of the problems that must be considered because it can negatively impact the environment. These problems can be above using the Life Cycle Assessment (LCA) approach to increase awareness regarding the environmental impact caused by plastic products. However, the LCA method is quite complex. So as to facilitate the work of users can be done by implementing LCA on plastic packaging products using a user-friendly system. In this study, the creation of a deep learning model algorithm to predict the LCA score of plastic bottle packaging products. The
results obtained are that deep learning programs can be used in predicting LCA scores, even if there is a difference between the actual and predicted values.