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Abstract
Fetal distress refers to signs before childbirth indicating that if the fetus is under Distress or Normal condition due to various factors. Fetal distress is an uncommon complication of labour. It typically occurs when the fetus has not been receiving enough oxygen.We are using Machine Learning Model (Random Forest Classification) to predict the Fetal Distress condition. Dataset of Fetal Heart Distress Classifier based on monitored values of pregnant women in her intrapartum period has been used. We are using Fetal Heart Rate and Uterine Contraction values to predict the result. According to the values of these two parameters, the distress condition of fetus will be predicted as Normal or Distress Condition.