The Role of Human Resource Development in Ensuring Social Security in the Northern Midlands and Mountainous Region
DOI:
https://doi.org/10.36676/jrps.v14.i5.1444Keywords:
Human resource development, social security, Northern Midlands and MountainsAbstract
The Northern Midlands and Mountains are one of the 6 economic regions of the country. The country's renovation has brought many important economic and social achievements, including strengthening the social security policy system. However, over the past, the social security policy system has also revealed many shortcomings that need improvement. The paper focuses on the analysis of the workforce in the Northern Midlands and Mountains and offers solutions and recommendations for human resource development to meet social security goals. The author proposes two main groups of solutions based on the current situation.
References
Kaur, J., Choppadandi, A., Chenchala, P. K., Nakra, V., & Pandian, P. K. G. (2019). Case Studies on Improving User Interaction and Satisfaction using AI-Enabled Chatbots for Customer Service. International Journal of Transcontinental Discoveries, 6(1), 29-34. https://internationaljournals.org/index.php/ijtd/article/view/98
Choppadandi, A., Kaur, J., Chenchala, P. K., Kanungo, S., & Pandian, P. K. K. G. (2019). AI-Driven Customer Relationship Management in PK Salon Management System. International Journal of Open Publication and Exploration, 7(2), 28-35. https://ijope.com/index.php/home/article/view/128
Ashok Choppadandi, Jagbir Kaur, Pradeep Kumar Chenchala, Akshay Agarwal, Varun Nakra, Pandi Kirupa Gopalakrishna Pandian, 2021. "Anomaly Detection in Cybersecurity: Leveraging Machine Learning Algorithms" ESP Journal of Engineering & Technology Advancements 1(2): 34-41.
Ashok Choppadandi et al, International Journal of Computer Science and Mobile Computing, Vol.9 Issue.12, December- 2020, pg. 103-112. ( Google scholar indexed)
Choppadandi, A., Kaur, J., Chenchala, P. K., Nakra, V., & Pandian, P. K. K. G. (2020). Automating ERP Applications for Taxation Compliance using Machine Learning at SAP Labs. International Journal of Computer Science and Mobile Computing, 9(12), 103-112. https://doi.org/10.47760/ijcsmc.2020.v09i12.014 DOI: https://doi.org/10.47760/ijcsmc.2020.v09i12.014
Chenchala, P. K., Choppadandi, A., Kaur, J., Nakra, V., & Pandian, P. K. G. (2020). Predictive Maintenance and Resource Optimization in Inventory Identification Tool Using ML. International Journal of Open Publication and Exploration, 8(2), 43-50. https://ijope.com/index.php/home/article/view/127]
AI-Driven Customer Relationship Management in PK Salon Management System. (2019). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 7(2), 28-35. https://ijope.com/index.php/home/article/view/128
Pradeep Kumar Chenchala. (2023). Social Media Sentiment Analysis for Enhancing Demand Forecasting Models Using Machine Learning Models. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6), 595–601. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10762 DOI: https://doi.org/10.17762/ijritcc.v11i9s.7467
Tilala, Mitul, Saigurudatta Pamulaparthyvenkata, Abhip Dilip Chawda, and Abhishek Pandurang Benke. "Explore the Technologies and Architectures Enabling Real-Time Data Processing within Healthcare Data Lakes, and How They Facilitate Immediate Clinical Decision-Making and Patient Care Interventions." European Chemical Bulletin 11, no. 12 (2022): 4537-4542. https://doi.org/10.53555/ecb/2022.11.12.425.
Mitul Tilala, Abhip Dilip Chawda, Abhishek Pandurang Benke, Akshay Agarwal. (2022). Regulatory Intelligence: Leveraging Data Analytics for Regulatory Decision-Making. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 1(1), 78–83. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/77
Mitul Tilala. (2023). Real-Time Data Processing in Healthcare: Architectures and Applications for Immediate Clinical Insights. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11), 1119–1125. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10629
Tilala, Mitul, and Abhip Dilip Chawda. "Evaluation of Compliance Requirements for Annual Reports in Pharmaceutical Industries." NeuroQuantology 18, no. 11 (November 2020): 138-145. https://doi.org/10.48047/nq.2020.18.11.NQ20244.
Dodda, Suresh, Navin Kamuni, Venkata Sai Mahesh Vuppalapati, Jyothi Swaroop Arlagadda Narasimharaju, and Preetham Vemasani. "AI-driven Personalized Recommendations: Algorithms and Evaluation." Propulsion Tech Journal 44, no. 6 (December 1, 2023). https://propulsiontechjournal.com/index.php/journal/article/view/5587
Kamuni, Navin, Suresh Dodda, Venkata Sai Mahesh Vuppalapati, Jyothi Swaroop Arlagadda, and Preetham Vemasani. "Advancements in Reinforcement Learning Techniques for Robotics." Journal of Basic Science and Engineering 19, no. 1 (2022): 101-111. ISSN: 1005-0930.
Dodda, Suresh, Navin Kamuni, Jyothi Swaroop Arlagadda, Venkata Sai Mahesh Vuppalapati, and Preetham Vemasani. "A Survey of Deep Learning Approaches for Natural Language Processing Tasks." International Journal on Recent and Innovation Trends in Computing and Communication 9, no. 12 (December 2021): 27-36. ISSN: 2321-8169. http://www.ijritcc.org
Jigar Shah , Joel lopes , Nitin Prasad , Narendra Narukulla , Venudhar Rao Hajari , Lohith Paripati. (2023). Optimizing Resource Allocation And Scalability In Cloud-Based Machine Learning Models. Migration Letters, 20(S12), 1823–1832. Retrieved from https://migrationletters.com/index.php/ml/article/view/10652
Joel lopes, Arth Dave, Hemanth Swamy, Varun Nakra, & Akshay Agarwal. (2023). Machine Learning Techniques And Predictive Modeling For Retail Inventory Management Systems. Educational Administration: Theory and Practice, 29(4), 698–706. https://doi.org/10.53555/kuey.v29i4.5645
Narukulla, Narendra, Joel Lopes, Venudhar Rao Hajari, Nitin Prasad, and Hemanth Swamy. "Real-Time Data Processing and Predictive Analytics Using Cloud-Based Machine Learning." Tuijin Jishu/Journal of Propulsion Technology 42, no. 4 (2021): 91-102. DOI: https://doi.org/10.52783/tjjpt.v42.i4.6757
Nitin Prasad. (2022). Security Challenges and Solutions in Cloud-Based Artificial Intelligence and Machine Learning Systems. International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 286–292. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10750
Varun Nakra, Arth Dave, Savitha Nuguri, Pradeep Kumar Chenchala, Akshay Agarwal. (2023). Robo-Advisors in Wealth Management: Exploring the Role of AI and ML in Financial Planning. European Economic Letters (EEL), 13(5), 2028–2039. Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1514
Varun Nakra. (2023). Enhancing Software Project Management and Task Allocation with AI and Machine Learning. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11), 1171–1178. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10684
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