Keywords: Intelligent Attendance Management System, Automated Academic Report Generation, Multilingual Header Detection, Educational Data Processing, Excel-Based Attendance Analytics, Higher Education Information Systems, Course-Centric Framework, Academic Workflow Automation, Document Generation, Data Normalization, Attendance Analytics, Smart Educational Administration.

[1] Khan, N.A., Siddiqi, A.M.U., Mohammad, M.A., Ahmad, D., Hameed, S.A., & Al Omari, O.M. (2019). Prevention of web-form spamming for cloud-based applications: A proposed model. In 2019 Amity International Conference on Artificial Intelligence (AICAI), Pages 249–254.

[2] Alanezi, R., Alanezi, M.A., & Khan, N.A. (2018). Development of web-based e-cooperative training system. In 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE), Pages 1–6.

[3] Khan, N.A., Siddiqi, A.M.U., & Ahmad, M. (2021). Development of intelligent alumni management system for universities. Asian Journal of Basic Science & Research, 3(2): 51–60.

[4] Khan, N.A., Ahamad, D., Alam, S., Siddiqi, A.M.U., Khalid, M.N., & Nasimuddin, M.A.M. (2021). Development of Mubadarah system-an intelligent system for proposals at a university. In 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Pages 413–417.

[5] Khan, N.A., & Albatein, J. (2021). COVIBOT-An intelligent WhatsApp based advising bot for Covid-19. In 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Pages 418–422.

[6] Khan, N.A., Ahmad, M., Alam, S., Siddiqi, A.M.U., Ahamad, D., & Khalid, M.N. (2021). Development of Medidrone: A drone-based emergency service system for Saudi Arabian healthcare. In 2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Pages 407–412.

[7] Khan, N.A., Mahafdah, R.F., Nasimuddin, M.A.M., Alomari, O.M., Siddiqi, A.M.U., & Ahamad, D. (2019). Intrusion management to avoid web-form spamming in cloud-based architecture. In 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Pages 437–442.

[8] Khan, N.A., Khalid, M.N., Ahmad, M., Siddiqi, A.M.U., & Shukla, V.K. (2021). An empirical analysis on users’ acceptance and usage of BYOD-technology for Saudi universities: A case study of Shaqra University. In 2021 International Conference on Technological Advancements and Innovations (ICTAI), Pages 57–62.

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[10] Alangari, S., & Khan, N.A. (2021). Artificially intelligent warehouse management system. Asian Journal of Basic Science & Research, 3(3): 16–24.

[11] Khan, N.A., Mahafdah, R.F., Al-Omari, O.M., Dardouri, S., Siddiqi, A.M.U., & Nasimuddin, M.A.M. (2020). Internet of Things (IoT) based educational data mining (EDM) system. J. Mech. Cont. & Math. Sci., 15(3): 271–284.

[12] Khan, N.A. (2019). Wireless requirements and benefits in the academic’s domain. Middle East Journal of Applied Science & Technology (MEJAST), 2(3): 45–49.

[13] Alsulami, M.H., Atkins, A.S., Alaboudi, A.A., & Khan, N.A. (2021). Zigbee technology provides elderly people with well-being at home. International Journal of Sensors Wireless Communications and Control, 11(9): 921–927.

[14] Alsulami, M.H., Alotaibi, S., & Khan, N. (2021). Smart university model for Saudi Arabian universities. Design Engineering: 162–181.

[15] Mahafdah, R.F., Al-Omari, O.M., & Khan, N.A. (2018). Learning modal adaptability to improve reading and writing skills of students.

[16] Khan, N.A. (2024). Development of intelligent pick and drop service manager for small cities. Asian Journal of Basic Science & Research, 6(3): 20–27.

[17] Khan, N.A. (2024). Development of intelligent help system for small cities. Asian Journal of Applied Science and Technology, 8(3): 112–119.

[18] Akram, F., Aziz, S., Khan, N.A., Faizi, S.A., & Raza, K. (2024). Integrating artificial bee colony algorithms for deep learning model optimization: A comprehensive review. In Solving Bees: Transformative Applications of Artificial Bee Colony Algorithm, Pages 73–102.

[19] Khan, N.A. (2025). Development of intelligent student information system. Arabian Journal of Basic Science and Research, 7(1).

[20] Hassan, M.A.A., Khan, N.A., & Nasim, M.A.M. (2017). Managing data replication in mobile ad-hoc network databases using content-based energy optimization. Mediterranean Journal of Basic and Applied Sciences, 1(1): 142–154.

[21] Khan, N.A. (2018). Cloud applications development and deployment: The future of cost-effective programming and a step ahead. Middle East Journal of Applied Science & Technology, 1(1): 30–36.

[22] Al Omari, O.M.A., Khan, N.A., & Mahafdah, R. (2017). Ranking and reputation-based resource allocation in P2P system. Mediterranean Journal of Basic and Applied Sciences, 1(1): 293–301.

[23] Khan, N.A., Rajeyyagari, S., & Khan, A.R. (2025). Development of intelligent library services for university students. Mediterranean Journal of Basic and Applied Sciences, 9(1): 142–147.

[24] Alshalaan, M., & Khan, N.A. (2025). Complexities and challenges for securing digital assets and infrastructure in academia: A review on digital asset security. In Complexities and Challenges for Securing Digital Assets and Infrastructure, Pages 225–244.

[25] Zamani, A.S., Akhtar, M.M., & Khan, N.A. (2025). An application of machine learning, big data and IoT of enterprise architecture: Challenges, solutions and open issues. Quality Control-Artificial Intelligence, Big Data, and New Trends.

[26] Khan, N.A., Akhtar, M.M., Siddiqi, A.M.U., Rashid, K.A., Rajeyyagari, S., Khalid, M.N., & Ahmad, M. (2024). An IoMT enabled iterative artificial bee colony approach using federated learning for detection of heart disease. In Solving with Bees: Transformative Applications of Artificial Bee Colony Algorithm, Pages 103–116.

[27] Khan, N.A., Khan, A.R., & Rajeyyagari, S. (2025). Innovation in teaching and learning with the use of modern computational tools: Post Covid experience. Middle East Journal of Applied Science & Technology, 8(2): 74–82.

[28] Khan, N.A., & Ahamad, D. (2025). Living smart: AI-based urban assistance systems for sustainable wellbeing in small cities. Middle East Journal of Applied Science & Technology, 3(2): 89–99.

[29] Ahmad, M., Hamdoui, R., Khan, N.A., Siddiqi, A.M.U., & Khan, A.R. (2025). Learning three-dimensional face recognition from sparse views for robust identity verification. Available at SSRN 5428214.

[30] Alotaibi, R., Khan, N.A., & Akhtar, M.M. (2025). Statistical probability prediction model for e-learning and realtime proctoring using IoT devices. Journal of King Saud University-Science, 37.

[31] Khan, N.A., Akhtar, M.M., Siddiqi, A.M.U., Rajeyyagari, S., Ahmad, M., & Khalid, N. (2025). Network intrusion management of web form spamming using blockchain. Irish Interdisciplinary Journal of Science & Research, 9(03): 10–46759.

[32] Khan, N.A., Ahmad, M., Akhtar, M.M., Rajeyyagari, S., & Siddiqi, A.M.U. (2025). Transformative impact of artificial intelligence on higher education: A comprehensive analysis of pedagogical innovation, institutional transformation, and future learning ecosystems. Asian Journal of Applied Science and Technology (AJAST), 9(4): 57–76.

[33] Alshalaan, M., & Khan, N.A. (2025). Blockchain-enabled federated learning framework for secure and collaborative drug discovery: Integrating AI, molecular docking, and distributed ledger technology.

[34] Khan, N.A., & Alshalaan, M. (2025). AI-driven blockchain framework for digital transformation of academic accreditation process: A Saudi Arabian perspective.

[35] Haidar, S.W., Chaubey, S.K., Mishra, A.D., Akhtar, M.M., Khan, N.A., & Usmani, T.A. (2025). Deep learning driven automated system for speech emotion recognition. In 2025 IEEE 7th International Conference on Computing, Communication and Automation (ICCCA), Pages 1–6.

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[37] Haidar, S.W., Chaubey, S.K., Mishra, A.D., Akhtar, M.M., Khan, N.A., & Meraj, M. (2025). Enhancing problem-solving skills through modelling-based AI and generative flow networks (GFN). In 2025 2nd Global AI Summit-International Conference on Artificial Intelligence and Emerging Technology (AI Summit), Pages 1003–1008.

[38] Khan, N.A., Akhtar, M.M., Zamani, A.S., Siddiqi, A.M.U., Khan, A.R., & Rajeyyagari, S. (2026). Revolutionizing drug design: The convergence of AI and quantum computing-A systematic review. In Artificial Intelligence in Precision Drug Design, Volume 2, Pages 317–326.

[39] Khan, N.A., Khan, A.R., Rajeyyagari, S., Akhtar, M., Siddiqi, A.M.U., & Ahmad, M. (2026). Serverless absence management: A Google-native playbook for rapid, auditable university leaves workflows.

[40] Ren, M., Gangwar, S., Sharma, S., Khan, N.A., & Raza, K. (2026). Explainable AI for structure-based drug design: Concepts and case studies. In Artificial Intelligence in Precision Drug Design, Volume 2, Pages 433–455.

[41] Khan, N.A., Khan, A.R., Rajeyyagari, S., Akhtar, M., Siddiqi, A.M.U., & Ahmad, M. (2026). A cloud-based multi-tier approval system for academic course registration: Design, implementation, and evaluations.

Source of Funding:

This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Competing Interests Statement:

The authors declare that they have no competing interests related to this work.

Consent for publication:

The authors declare that they consented to the publication of this study.

Authors' contributions:

All the authors made an equal contribution in the Conception and design of the work, Data collection, Drafting the article, and Critical revision of the article.

Availability of data and materials:

Authors are willing to share data and material on request.

Ethical Approval:

Not applicable for this study.

Institutional Review Board Statement:

Not applicable for this study.

Informed Consent:

Not applicable for this study.

Acknowledgement:

Authors acknowledge the support and hard work from all those who helped in this study.