<ul><li>Worked on a project titled<b> “Compressive Strength Prediction of Self-Compacting Concreteâ€</b> by integrating <b>Artificial Intelligence (AI), Machine Learning (ML)</b>, and <b>Data Science</b> concepts.</li><li>Collected and analyzed experimental data on <b>compressive strength parameters</b> of self-compacting concrete.</li><li>Trained and validated <b>machine learning models</b> to predict compressive strength based on mix design parameters and test data.</li><li>Collaborated with the <b>Project Mentor</b> to interpret model outcomes and improve prediction accuracy.</li><li>Developed understanding of <b>AI/ML algorithms</b> such as regression, data preprocessing, and correlation analysis for civil engineering applications.</li><li>Enhanced knowledge in applying <b>data-driven approaches</b> to solve real-world material strength prediction problems.</li></ul>