Goal setting is a fundamental and transformative process that plays a pivotal role in personal and professional development. It serves a multitude of purposes, each of which contributes to individual growth, organizational success, and the realization of dreams and aspirations. Goal setting directly impacts health and financial stability. Several parameters like measurable progress and clarity of focus are associated with goal setting and in turn Health and Financial stability. We predict health and financial status using 15 parameters related to goal setting. The research is useful because it equips human beings with different parameters’ and measures that are necessary to have satisfied health and financial situations. SVM and KNN classifiers were implemented on the dataset. The training-to-testing dataset ratio is 80: 20. Both of the classifiers are implemented on varied-size datasets and the precision of the algorithms is compared. SVm proved to be better as it gives consistently better accuracy of prediction for the dataset varied from 50 to 250 with a minimum accuracy of 0.7 and maximum accuracy of 0.9.