This research aimed to predict a country's economic growth using non-economic data by creating computer models based on artificial neural networks. The models were fed information like education levels, research activities, and innovation rates. These models successfully predicted a country's Gross Domestic Product per person with a very high accuracy of 96%. This means that factors like education level, research efforts, and innovation activities can help forecast a country's economic performance, beyond just traditional economic factors.