• Sai Neha
• Dr. Shashidhar Kini K

We predict gold prices using machine learning models by analyzing historical and financial data. Algorithms like Linear Regression, Random Forest, and LSTM are evaluated using MAE, RMSE, and R² scores. The results show improved prediction accuracy, providing valuable insights for investors and financial analysts. This approach helps in risk assessment, market analysis, and financial decision-making, making it a reliable tool for forecasting gold price movements in dynamic economic conditions.

Gold Price Prediction, Regression Models, Random Forest, LSTM

"Gold Price Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.1040-1043, July-2025, Available :http://www.jetir.org/papers/JETIRGX06195.pdf

"Gold Price Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp1040-1043, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06195.pdf