This document presents a study that uses an artificial neural network technique to compare the lifecycle assessment of regular concrete to recycled aggregate concrete. Experimental testing was conducted on concrete mixes with different percentages of recycled coarse aggregate replacement. An artificial neural network was trained on literature data to predict the compressive strength of mixes. An "every possible combination" matrix was generated to find a normal concrete mix with equivalent predicted strength to the experimental recycled aggregate mixes. Lifecycle parameters like embodied energy, emissions, waste etc. were then compared between the equivalent mixes to analyze the environmental impacts. The results showed better performance for recycled aggregate concrete, suggesting its increased usage could support more sustainable construction practices. The study demonstrated a viable method for composition analysis but noted further validation was