Given a model, a sensitive attribute and a balanced dataset, this service provides the user with some approaches that can mitigate the bias. First, the Bias Assessment tools will be used to evaluate the bias of the model. Then it provides guidelines on how to perform in-processing bias mitigation. Each proposed approach will be illustrated by commented-out code so that the user can reproduce it on their use case seamlessly.