• Rasheed Ahmed Muhammad Rafiq

This study investigates the impact of AI-driven services on the progress and efficiency of library operations, focusing particularly on how these technologies enhance user engagement and resource accessibility. Through a mixed-methods approach, which encompasses both qualitative data obtained from user satisfaction surveys and focus group discussions, and quantitative data derived from library usage statistics and service uptake rates, the research reveals a significant improvement in user interaction and resource dissemination facilitated by AI implementation. Key findings indicate that libraries employing AI technologies experienced an increase in user satisfaction scores by 30% and a 25% rise in resource accessibility metrics. The implications of these findings extend beyond the library context, suggesting a transformative potential for healthcare information services wherein the integration of AI could optimise patient engagement and enhance the accessibility of medical resources. By demonstrating the efficacy of AI in fostering improved service delivery, this study not only contributes to the literature on library science but also offers valuable insights for the healthcare sector, encouraging the adoption of similar technologies to enhance the efficiency and effectiveness of health information services. Ultimately, this research underscores the necessity for libraries and healthcare institutions to evolve alongside technological advancements, ensuring that user needs are met through innovative service solutions.

Library Management, Library services, Emerging Technologies, Library and Information Science, Social Science, Library Progress.

"Evaluating Library Progress Through AI-Driven Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.a364-a370, February-2025, Available :http://www.jetir.org/papers/JETIR2502045.pdf

"Evaluating Library Progress Through AI-Driven Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppa364-a370, February-2025, Available at : http://www.jetir.org/papers/JETIR2502045.pdf