This study presents an analytical investigation of compressive strength of seaweed gel modified concrete, with gel content varying from 1% to 5% with 1% increment. The experimental results obtained from the laboratory are cross verified with two different statistical tools to evaluate the predictions of the compressive strength with RSM and ANN method. The regression analysis using RSM method with SWS gel gave high predictive accuracy of 91.57%. In the comparative analysis, ANN showed a sin curve trend with initially linear growth at 1% addition then steep slope at 2% of SWS gel which is the same result for all the methods except python. There was a slight growth in the strength at 3% then it was drastically reduced at 4% and 5% for achieving compressive strength of 28 and 60 days. These findings underline the efficacy of the analytical and statistical tools in optimizing concrete mix design and offer a sustainable approach for enhancing compressive strength in civil engineering applications.