Review of Smart Office Assistant


Authors : Anju Prabha; Aiswarya Binoy; Akshay E; Althaf Ameer; Alvin Joy

Volume/Issue : Volume 9 - 2024, Issue 10 - October

Google Scholar : https://tinyurl.com/vzmtxs9p

Scribd : https://tinyurl.com/2xz9dzub

DOI : https://doi.org/10.38124/ijisrt/IJISRT24OCT1777

Abstract : AI is playing major role in every field now a days and have become widely accepted in our society than traditional methods. The Smart Office Assistant is an intelligent system made to automate office environment in which employee attendance tracking and visitor management in offices can be done. Using web cam face recognition is done for people entering the office, for employees greeting is done by calling the name also their check in time and attendance is marked. For unrecognized faces it acts as a smart receptionist, which can handle appointment bookings and provide general office information for unfamiliar visitors through a chatbot interface. The Smart Office Assistant is for offices of all sizes and of various fields. Automating the office enhances the overall workplace experience, ensuring secure and efficient interactions for both employees and visitors. It takes more time for employees to manually sign in. Also visitors can easily book meetings or get information without anyone’s help using this technology. It helps to reduce administrative workload and staff can focus on more important tasks. To conduct this literature review of papers, we narrowed down the following areas relating AI-driven Smart Office Assistants; face recognition for attendance, Chatbot systems for visitor, integration of Artificial Intelligence in offices. The following databases were used: IEEE Xplore and Google Scholar; keywords included “AI office automation,” “face recognition attendance,” and “chatbot visitor management.”

Keywords : Automate, Employee Attendance Tracking, Visitor Management, Facial Recognition, Appointment Booking, Chatbot Interface, Personalized Interaction.

References :

  1. Mamun, K.A., Nabid, R.A., Pranto, S.I., Lamim, S.M., Rahman, M.M., Mahammed, N., Huda, M.N., Sarker, F. and Khan, R.R., 2024. Smart reception: An artificial intelligence driven bangla language based re- ceptionist system employing speech, speaker, and face recognition for automating reception services. Engineering Applications of Artificial Intelligence, 136, p.108923.
  2. Cai, Z., Wen, L., Cao, D., Lei, Z., Yi, D. and Li, S.Z., 2013, April. Person-specific face tracking with online recognition. In 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) (pp. 1-6). IEEE.
  3. Jihua, Y., Guomiao, X. and Dan, H., 2013, May. Research and imple- mentation of of multi-modal face recognition algorithm. In 2013 25th Chinese Control and Decision Conference (CCDC) (pp. 2086-2090). IEEE.
  4. Anitha, R., Gupta, R., Manoj, V. and Bhargav, M., 2021. Person Iden- tification Using Face and Speech Recognition for Visually Challenged with Mask Detection. In Advances in Parallel Computing Technologies and Applications (pp. 71-79). IOS Press.
  5. Smitha, P. S. Hegde, Afshin . Face Recognition based Attendance Man- agement System. Department of Computer Science and Engineering, Yenepoya Institute of Technology, Moodbidri, India.
  6. Vadakkepat, P., Lim, P., De Silva, L.C., Jing, L. and Ling, L.L., 2008. Multimodal approach to human-face detection and tracking. IEEE transactions on industrial electronics, 55(3), pp.1385-1393.
  7. Cui, L., Huang, S., Wei, F., Tan, C., Duan, C. and Zhou, M., 2017, July. Superagent: A customer service chatbot for e-commerce websites. In Proceedings of ACL 2017, system demonstrations (pp. 97-102).
  8. Koundinya, Hrushikesh, Ajay Krishna Palakurthi, Vaishnavi Putnala, and Ashok Kumar. ”Smart college chatbot using ML and python.” In 2020 International Conference on System, Computation, Automation and Networking (ICSCAN), pp. 1-5. IEEE, 2020.
  9. Velmurugan, K., Vijay, K., Vishnuvardhan, B. S and Bharath Raj, S. (2024). Chatbot for Mental Health Treatment using Face Detection. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)
  10. Ngai, E.W., Lee, M.C., Luo, M., Chan, P.S. and Liang, T., 2021. An intelligent knowledge-based chatbot for customer service. Electronic Commerce Research and Applications, 50, p.101098.
  11. Kharitonov, E., Vincent, D., Borsos, Z., Marinier, R., Girgin, S., Pietquin, O., Sharifi, M., Tagliasacchi, M. and Zeghidour, N., 2023. Speak, read and prompt: High-fidelity text-to-speech with minimal supervision. Transactions of the Association for Computational Linguis- tics, 11, pp.1703-1718.
  12. Gumah, W., 2018. Zer0Clock: An online appointment booking system.
  13. Attigeri, G., Agrawal, A. and Kolekar, S., 2024. Advanced NLP Models for Technical University Information Chatbots: Development and Com- parative Analysis. IEEE Access

AI is playing major role in every field now a days and have become widely accepted in our society than traditional methods. The Smart Office Assistant is an intelligent system made to automate office environment in which employee attendance tracking and visitor management in offices can be done. Using web cam face recognition is done for people entering the office, for employees greeting is done by calling the name also their check in time and attendance is marked. For unrecognized faces it acts as a smart receptionist, which can handle appointment bookings and provide general office information for unfamiliar visitors through a chatbot interface. The Smart Office Assistant is for offices of all sizes and of various fields. Automating the office enhances the overall workplace experience, ensuring secure and efficient interactions for both employees and visitors. It takes more time for employees to manually sign in. Also visitors can easily book meetings or get information without anyone’s help using this technology. It helps to reduce administrative workload and staff can focus on more important tasks. To conduct this literature review of papers, we narrowed down the following areas relating AI-driven Smart Office Assistants; face recognition for attendance, Chatbot systems for visitor, integration of Artificial Intelligence in offices. The following databases were used: IEEE Xplore and Google Scholar; keywords included “AI office automation,” “face recognition attendance,” and “chatbot visitor management.”

Keywords : Automate, Employee Attendance Tracking, Visitor Management, Facial Recognition, Appointment Booking, Chatbot Interface, Personalized Interaction.

Video Explanation for Published paper

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