A woman's journey to motherhood is one of great importance, and becoming a parent is the biggest event of her life. Maternal diabetes is becoming more common every day. This disorder, which can affect both the mother and the unborn child, is usually transitory and goes away after birth. It usually manifests itself as elevated blood sugar levels during the second or third trimester. Inadequate management of gestational diabetes might result in issues like: For the infant: respiratory distress syndrome, high birth weight, preterm delivery, and a higher chance of type 2 diabetes in future. For the mother: elevated blood pressure, pre-eclampsia, and a higher chance of type 2 diabetes down the road. This work aims to present a framework for gestational diabetes designed to explain the consequences of being exposed to a diabetic population in India. A dataset on gestational diabetes is analyzed using different factors, such as glucose levels, blood pressure, and body mass index. The given regression function is optimized with the help of a genetic algorithm. The findings are consistent with actual situations involving gestational diabetes.