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@article{199975,
        author = {Tejashri Bhima Kadlag},
        title = {Artificial intelligence in quality control},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {197-201},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199975},
        abstract = {In recents decades the demand for high quality and accuracy in pharmaceutical industry has increased significantly due to customer expectation and complexity of modern projects. Artificial intelligence (AI) upgrades the quality control by automated inspection, error detection with greater precision and speed than humans. Artiicial intelligence(AI) is transforming modern quality control(QC) system by faster and highly automated decision-making processes across manufacturing and services industries. Traditional quality control(QC) systems, depend on manual inspections and human oversight,often all short in delivering consistency, speed, accuracy and higher operational costs. This review explores how artificial intelligence (AI) technologies are reshaping the landscape of quality control(QC) in pharmaceutical industries. Artificial intelligence (AI) driven approches-such as machine learning, deep learning, computer vision and predictive analytics-significantly increases the precision and efficiency of quality evalution. Overall artificial intelligence(AI)-integrated quality control system oers remarkable benefits including increase accuracy, reduced inspection time, cost saving, and improved decision-making, ultimately contributing to higher productivity and competative benefits.},
        keywords = {Artificial intelligence(AI), Quality control(QC), Computer application, Machine learning, Manufacturing, Test methods.},
        month = {May},
        }