Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Yogi, Kottala Sri; Dankan Gowda, V.; Roshani, Puja; Shankar, Ch; Kumar, G L N Sravan; Murthy, C. Ravindra Title A name given to the resource A Novel Framework for Integrating Machine Learning in CSR to Accelerate Sustainability in the Indian Automobile Sector Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings of the 7th International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2025;pp.836-843 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIDCA66325.2025.11280471" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIDCA66325.2025.11280471</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031444553?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031444553?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Yogi K.S., Symbiosis Institute of Business Management Hyderabad Symbiosis International University, Department of Operations, Pune, India; Dankan Gowda V., Bms Institute of Technology and Management, Department of Electronics and Communication Engineering, Karnataka, Bangalore, India; Roshani P., Christ University, Department of Commerce, Karnataka, Bangalore, India; Shankar C., Gitam (Deemed to Be) University, Gitam School of Business, Hyderabad, India; Kumar G.L.N.S., Malla Reddy College of Engineering and Technology [ M R C e T], Department of Mba, Telangana, Hyderabad, India; Murthy C.R., Mohan Babu University, School of Engineering, Department of Ece, Andrapradesh, Tirupati, India Description An account of the resource This paper aims at determining the suitability of using machine learning in CSR in enhancing sustainability of the Indian automobile industry. Prominent automobile companies are known to be major sources of environmental pollution together with wastage of various natural resources. There is a challenge of incorporating sustainability policies in the sector due to the rising regulation and consumers' awareness. Machine learning contains new approaches to managing resources more effectively, minimizing emissions and providing transparency of goods to clients. This study scrutinizes the previous literature, outlines the machine learning-based framework system of CSR activities, and validates the applicability of the system using case studies and qualitative data. The results show that learning from data can improve sustainability at an extensive scale and that the changes are sustainable and financially advantageous. 2025 IEEE. Subject The topic of the resource Corporate Social Responsibility (CSR); Environmental Impact; Green Technology; Indian Automobile Sector; Machine Learning; Resource Optimization; Supply Chain Transparency; Sustainability Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151414-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online