In Today’s daily life people are facing diverse health issues, Hypertension is one of serious health issues which may cause heart problems. This paper is focus on prediction of hypertension by means of Artificial Neural Networks, which is a sub field of Artificial intelligence. Hypertension is one of the genetic problems which people are facing it is a sickness that ends in an excessive at the same time dangerous disease which includes coronary heart failure, inspissation of heart muscle, coronary artery disease, and other extreme situations.This paper is for identifying the occurrence of hypertension in various categories of persons, like people with or without hypertension, pregnant lady with or without hypertension, people with chronic kidney disease, adrenal and thyroid disorders. This is used to recognize the best solutions, challenges and chances in detecting hypertension. In upcoming it is used as a primary recognition system for hypertension. Artificial neural network, a subclass of Artificial intelligence, which is used to predict the solution, which is a best prediction algorithm to identify hypertension. Results of the proposed method compared with existing solutions. In This intern one can increase the accuracy of the system. In machine learning genetic algorithms and neural networks plays vital role for prediction. To predict hypertension logistic regression and boosting classifiers are used. Artificial neural networks result best accuracy for human biology system prediction. To assess the proposed model performance measurements are included to calculate precision, recall Accuracy and F1- Score. The proposed method results and exhibit superior results, when compared to the existing machine learning algorithms. Neurons within the brain bypass the indicators to carry out actions. So, artificial neurons are connected with neural networks to carry out duties. concept of artificial neural network was inspired by human biology and the way neurons of the human brain function together to understand inputs from human senses. The end results can be either patient with hypertension or without hypertension