Examines AI and ML effects on library management efficiency in colleges, highlighting technological advancements.
The integration of Artificial Intelligence (AI) and Machine Learning (ML) into college library management marks a major transformation in handling information resources, user services, and efficiency. In India, this aligns with the vision of Viksit Bharat 2047, which emphasizes technological advancement, inclusive education, and knowledge-driven growth. Earlier, libraries depended on manual systems such as card catalogs and physical records, which were slow and error-prone. Later, basic automation through Integrated Library Management Systems (ILMS) like Koha improved operations but lacked intelligence. AI and ML applications were minimal and mostly theoretical. In India, factors like limited resources, linguistic diversity, and infrastructure gaps slowed adoption. Today, AI and ML are actively transforming libraries. Automated cataloging and metadata generation use machine learning and OCR to manage large digital collections. Intelligent search systems powered by Natural Language Processing (NLP) enable semantic search, chatbots, and personalized recommendations. Circulation management uses predictive analytics and RFID for efficient inventory control. AI also enhances user services through personalized learning support and data-driven decision-making. In Indian higher education, adoption is growing due to the National Education Policy (NEP) 2020, which promotes digital and multilingual access. Libraries now use AI for plagiarism detection, bibliometric analysis, and virtual assistance, improving service quality and reducing manual workload. However, challenges such as data privacy, high costs, algorithmic bias, and the need for staff training still remain. Looking ahead, AI and ML will further evolve libraries into intelligent knowledge systems. Technologies like generative AI, virtual reality, and multilingual translation will enhance research access and learning experiences. Predictive systems will anticipate user needs and support personalized education, helping bridge the urban-rural gap. For Viksit Bharat 2047, AI-driven libraries play a key role in building a knowledge-based society. They improve access to information, support skill development, and promote research and innovation. Despite challenges, proper policies, infrastructure, and training can ensure effective implementation. In conclusion, the shift from manual to AI-enabled library systems improves efficiency, accessibility, and user satisfaction. In Indian colleges, this transformation supports the vision of a developed India by creating advanced, knowledge-driven institutions.
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Mr. Jagtap Akshay Malhari (2026) studied this question.
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