Abstract: Gold holds critical esteem because it is commonly utilized to back exchange exchanges. In nations such as India, China, Indonesia, and others, gold isn't as it were cherished as gems but is additionally traded as blessings or utilized in marriage settlements. Furthermore, nations with significant gold saves are regularly seen as financially affluent. Within the show period, gold rises above its conventional part as unimportant decorations and is recognized as a important speculation. Central banks around the world hold gold as collateral for outside credits and as a implies to control swelling. The worldwide economy's status essentially impacts gold costs, given the rising request and supply of this valuable metal. Thus, numerous financial specialists are turning to gold ventures, propelled by the vacillations in its advertise esteem. Be that as it may, the instability in gold costs postures dangers for financial specialists. Subsequently, the objective of "Gold Cost Prediction" is to utilize different machine learning procedures to figure gold costs. This includes analyzing the complicated relationship between economic variables affecting gold rates. Utilized machine learning calculations incorporate Irregular Timberland Relapse, Choice Tree (DT), Back Vect or Relapse (SVR), Direct Relapse, and Fake Neural Arrange (ANN).