Algorithmic bias is a major concern in models predicting outcomes for people such as loan approval, hiring, committing crime in the future etc. Algorithmic Bias needs to be detected and corrected to ensure that historically disadvantaged groups are not being discriminated against. The solution utilizes bias metrics at different levels of strictness to identify demographic and statistical disparities in groups results.