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