Journal of Control & Instrumentation

Journal of Control & Instrumentation Original Research

Revolutionizing School Schedules: An Arduino-Based Automatic Class Bell System with Real-Time Precision

  1. Dhyvarkonda Udaykiran Tulshidas Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur
  2. Pranit Sunil Paul Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur
  3. Gone Yashasvi Prakash Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur
  4. IR. Kazi Kutubuddin Sayyad Liyakat Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur

Abstract

A sound that evokes nostalgia, signals transitions, and dictates the rhythm of academic life. However,the traditional reliance on manual bell ringing is prone to human error, inconsistencies, and inflexibility. This work explores the design and implementation of an Arduino-based automatic class bell system leveraging a Real-Time Clock (RTC) module to provide accurate and reliable bell timing. This system offers a significant upgrade over manual systems, streamlining school schedules and improving overall efficiency. Traditional methods of ringing the school bell often involve a designated individual manually activating the bell at scheduled times. This project presents the development of an Arduino-based automatic class bell system incorporating a DS3231 Real-Time Clock (RTC) module.The system aims to replace manual bell ringing, offering improved accuracy, consistency, and flexibility in managing school schedules. The RTC module provides precise timekeeping, while the Arduino microcontroller compares the current time with a pre-programmed schedule to trigger the bell. This automated system reduces human error, ensures timely bell ringing, and facilitates easy schedule modifications. The design, implementation, and potential benefits of this system are discussed,highlighting its potential for widespread adoption in educational institutions.

Keywords

  • Arduino
  • Buzzer
  • Ringing bell
  • real time clock
  • school

References (55)

  1. Raut A, Mali M, TM, KKS. Bagasse Level Monitoring System. International Journal of Trend in Scientific Research and Development (IJTSRD). 2018 Apr 30; 2(3): 1657–9.
  2. Shinde VB, Wandre SS. Solar photovoltaic water pumping system for irrigation: A review. Afr J Agric Res. 2015 May 28; 10(22): 2267–73.
  3. Mulani AO, Bang AV, Birajadar GB, Deshmukh AB, Jadhav HM, Liyakat KK. IoT Based Air, Water, and Soil Monitoring System for Pomegranate Farming. Ann Agri-Bio Res. 2024; 29(2): 71–86.
  4. Parihar B, Kiran A, Valaboju S, Rashid SZ, Liyakat KK, DR AS. Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques. In ITM Web of Conferences, EDP Sciences. 2025; 76: 02010.blockchain
  5. Liu H, Crespo RG, Martínez OS. Enhancing Privacy and Data Security across Healthcare Applications Using Blockchain and Distributed Ledger Concepts. Healthcare. 2020;8(3):243. doi:10.3390/healthcare8030243
  6. Liyakat KK, Khadake SB, Tamboli DA, Sawant VA, HM M, Sathe S. AI-Driven-IoT (AIIoT) Based Decision-Making-KSK Approach in Drones for Climate Change Study. In 2024 IEEE 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS). 2024 Dec 12; 1735–1744.
  7. Prasad KR, Karanam SR, Ganesh D, Liyakat KK, Talasila V, Purushotham P. AI in public-private partnership for IT infrastructure development. J High Technol Manag Res. 2024 May 1; 35(1):100496.
  8. Liyakat KK. Detecting malicious nodes in IoT networks using machine learning and artificial neural networks. In 2023 IEEE International Conference on Emerging Smart Computing and Informatics (ESCI). 2023 Mar 1; 1–5.
  9. Kasat K, Shaikh N, Rayabharapu VK, Nayak M, Liyakat KK. Implementation and recognition of waste management system with mobility solution in smart cities using Internet of Things. In 2023IEEE Second International Conference on Augmented Intelligence and Sustainable Systems(ICAISS). 2023 Aug 23; 1661–1665.
  10. Liyakat KK. Smart Grid Energy Saving Technique Using Machine Learning. Journal of Instrumentation Technology & Innovation (JoITI). 2022; 16(3): 1–10.
  11. Kazi K. AI-Driven IoT (AIIoT) in Healthcare Monitoring. Advances in Media, Entertainment, and the Arts. 2024:77-101. doi:10.4018/979-8-3693-0639-0.ch003
  12. Kazi K. Modelling and simulation of electric vehicle for performance analysis: BEV and HEV electrical vehicle implementation using Simulink for E-mobility ecosystems. In: L D, Nagpal N, Kassarwani N, Varthanan G V, Siano P, editors. E-Mobility in Electrical Energy Systems for Sustainability. Pennsylvania, United States: IGI Global; 2024. p. 295–320. doi:10.4018/979-8 3693-2611-4.ch014.
  13. Kazi KSL, Shinde SS, Nerkar PM, Kazi SS, Kazi VS. Machine Learning for Brand Protection. Advances in Marketing, Customer Relationship Management, and E-Services. 2025:175-220. doi:10.4018/979-8-3693-7041-4.ch007
  14. Tarnanidis TK, Papachristou E, Karypidis M, Manda VK, editors. Sustainable Practices in the Fashion and Retail Industry. Pennsylvania, United States: IGI Global; 2025.
  15. Kazi KSL. AI-Driven IoT (AIIoT)-Based Decision-Making System for High BP Patient Healthcare Monitoring. Advances in Computational Intelligence and Robotics. 2025:71-102. doi:10.4018/979-8-3693-7352-1.ch003
  16. Kazi KSL. Advancing Towards Sustainable Energy With Hydrogen Solutions. Advances in Environmental Engineering and Green Technologies. 2025:357-394. doi:10.4018/979-8-3693-8814-3.ch013
  17. Kazi KSL. Machine Learning-Based Pomegranate Disease Detection and Treatment. Advances in Environmental Engineering and Green Technologies. 2024:469-498. doi:10.4018/979-8-3693-3061-6.ch019
  18. Garcia MB, de Almeida RP, editors. Transformative Approaches to Patient Literacy and Healthcare Innovation. Pennsylvania, United States: IGI Global; 2024.
  19. Kazi KSL. IoT Driven by Machine Learning (MLIoT) for the Retail Apparel Sector. Advances in Marketing, Customer Relationship Management, and E-Services. 2024:63-81. doi:10.4018/979-8-3693-3049-4.ch004
  20. Kazi KSL. Artificial Intelligence (AI)-Driven IoT (AIIoT)-Based Agriculture Automation. Advances in Business Information Systems and Analytics. 2024:72-94. doi:10.4018/979-8-3693-3583-3.ch005
  21. Kazi KSL. Machine Learning (ML)-Based Braille Lippi Characters and Numbers Detection and Announcement System for Blind Children in Learning. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2024:16-39. doi:10.4018/979-8-3693-3033-3.ch002
  22. Kazi KSL. Machine Learning-Driven Internet of Medical Things (ML-IoMT)-Based Healthcare Monitoring System. In: Soufiene BO, Chakraborty C, editors. Responsible AI for Digital Health and Medical Analytics. Pennsylvania, United States: IGI Global; 2024. p. 49–86. doi:10.4018/979 8-3693-6294-5.ch003.
  23. Kazi KSL. Transformation of Agriculture Effectuated by Artificial Intelligence-Driven Internet of Things (AIIoT). Advances in Marketing, Customer Relationship Management, and E-Services. 2024:449-484. doi:10.4018/979-8-3693-6468-0.ch015
  24. Sayyad Liyakat KK, Konnur RG. Vehicle Health Monitoring System (VHMS) by Employing IoT and Sensors. Grenze International Journal of Engineering & Technology (GIJET). 2024 Jun 15; 10:5367–5374.
  25. Liyakat KK, Kutubuddin K. A Novel Approach on ML based Palmistry. In15th International Conference on Advances in Computing, Control, ad Telecommunication Technologies, ACT 2024. 2024 Jun 15; 2.
  26. Liyakat KK, Kutubuddin K. IoT based boiler health monitoring for sugar industries. In 15th International Conference on Advances in Computing, Control, ad Telecommunication Technologies, ACT 2024. 2024 Jun 15; 2: 5178–5185.
  27. Keerthana R, Bhagyalakshmi K, Papinaidu M, Liyakat KK. Machine Learning Based Risk Assessment for Financial Management in Big Data IoT Credit. Machine Learning Based Risk Assessment for Financial Management in Big Data IoT Credit (November 15, 2024). 2024 Nov 15.
  28. Saraswat D, Bhattacharya P, Verma A, Prasad VK, Tanwar S, Sharma G, et al. Explainable AI for Healthcare 5.0: Opportunities and Challenges. IEEE Access. 2022;10:84486-84517. doi:10.1109/access.2022.3197671
  29. Kazi KSL. Machine Learning (ML)-Based Braille Lippi Characters and Numbers Detection and Announcement System for Blind Children in Learning. Advances in Systems Analysis, Software Engineering, and High Performance Computing. 2024:16-39. doi:10.4018/979-8-3693-3033-3.ch002
  30. Liyakat KK. Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks. In International Conference on Machine Learning, IoT and Big Data. Singapore: Springer Nature Singapore; 2023 Mar 10; 123–134.
  31. Kazi Wohiduzzaman, Rahmot Ullah, Ashit Sharkar. Design and Development of a Low Cost Smart Electronic School Bell. International Journal of Latest Technology in Engineering Management & Applied Science. 2024;13(10):7-11. doi:10.51583/ijltemas.2024.131002
  32. Kazi KSL. IoT Technologies for the Intelligent Dairy Industry: A New Challenge. In: Thandekkattu SG, Vajjhala NR, editors. Designing Sustainable Internet of Things Solutions for Smart Industries.Pennsylvania, United States: IGI Global; 2024. p. 321–350. doi:10.4018/979-8-3693-5498 8.ch012.
  33. Liyakat KKS. Heart Health Monitoring Using IoT and Machine Learning Methods. Advances in Medical Technologies and Clinical Practice. 2024:257-282. doi:10.4018/979-8-3693-3212-2.ch010
  34. Kazi KSL. AI-Driven-IoT(AIIoT)-Based Decision Making in Kidney Diseases Patient Healthcare Monitoring. Advances in Healthcare Information Systems and Administration. 2024:277-306. doi:10.4018/979-8-3693-7277-7.ch009
  35. Liyakat KK. Machine learning approach using artificial neural networks to detect malicious nodes in IoT networks. In International Conference on Machine Learning, IoT and Big Data. Singapore: Springer Nature Singapore; 2023 Mar 10; 123–134.
  36. Biradar PK, Pardeshi YS, Bagwan IA, Kazi TI, Ganji SS. Remotely Operated Video Enhanced Receiver. Int Adv Res Sci Commun Technol. 2025 Jan; 5(2): 696–707.
  37. Kazi KSL, Mahant MA. Machine Learning-Driven Internet of Things (MLIoT)-Based Healthcare Monitoring System. In: Wickramasinghe N, editor. Digitalization and the Transformation of the Healthcare Sector. Pennsylvania, United States: IGI Global; 2024. p. 205–236. doi:10.4018/979-83693-9641-4.ch007.
  38. Mulani AO, Liyakat KK, Warade NS, Patil A, Kolte MT, Kinage K, Rana M, Salunkhe SS,Jadhav VS, Nagrale M. WITHDRAWL–Administrative Duplicate Publication: ML-powered Internet of Medical Things Structure for Heart Disease Prediction. J Pharmacol Pharmacother.2025; 16(2): 243.
  39. Odnala S, Shanthy R, Bharathi B, Pandey C, Rachapalli A, Liyakat KK. Artificial Intelligence and Cloud-Enabled E-Vehicle Design with Wireless Sensor Integration. Available at SSRN 5107242.2024 Nov 15.
  40. Neeraja P, Kumar RG, Kumar MS, Liyakat KK, Vani MS. DL-based somnolence detection for improved driver safety and alertness monitoring. In 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT). 2024 Feb 9; 5: 589–594.
  41. Sayyad Liyakat KK, Magadum PK. Machine Learning for Predicting Wind Turbine Output Power in Wind Energy Conversion Systems. Grenze International Journal of Engineering & Technology(GIJET). 2024 Jan 22; 10: 2074–2080.
  42. Nerkar PM, Dhaware BU, Liyakat KS. Predictive data analytics framework based on heart healthcare system (HHS) using machine learning. J Adv Zool. 2023; 44(2): 3673–3686.
  43. Kutubuddin KA, Nerkar PR, Sultanabanu KA. IoT-based skin health monitoring system. Int J Biol Pharm Allied Sci. 2024; 13(11): 5937–50.
  44. Liyakat KK, Khadake SB, Chounde AB, Suryagan AA, HM M, Khadatare MR. AI-Driven-IoT(AIIoT) Based Decision Making System for High-Blood Pressure Patient Healthcare Monitoring.In 2024 IEEE International Conference on Sustainable Communication Networks and Application(ICSCNA). 2024 Dec 11; 96–102.
  45. Zoha A, Qadir J, Abbasi QH. AI-Powered IoT for Intelligent Systems and Smart Applications. Front Commun Netw. 2022 Jul 7; 3: 959303.
  46. Spagnolo P. Advancements in Precision Agriculture: Integrating AI and IoT for Smart Crop Monitoring and Management. European Journal of Crop Science and Technology. 2025 Mar 6;1(01): 21–9. P-ISSN 3051–0139 en E-ISSN 3051-0147.
  47. Kazi KSL. KK Approach to Increase Resilience in Internet of Things. Advances in Information Security, Privacy, and Ethics. 2024:87-120. doi:10.4018/979-8-3693-9491-5.ch005
  48. Uprety A, Rawat DB, Sadler B. Human Immune System Inspired Security for Federated Learning Empowered Internet of Things. ACM Trans Internet Things. 2025; 6(2): 11(18p).
  49. Kazi KSL. Healthcare Monitoring System Driven by Machine Learning and Internet of Medical Things (MLIoMT). Advances in Healthcare Information Systems and Administration. 2025:385-416. doi:10.4018/979-8-3693-6180-1.ch016
  50. Poudel YK, Pudasaini RK, Kandel A, Karki NR. Battery, Super Capacitor-Based Hybrid Energy Storage with PV for Islanded DC Microgrid. Arch Adv Eng Sci. 2025; 3(2): 100–110.
  51. Polythecnic of Leiria, Leiria, Portugal, Ribeiro C, Gil J, Twevo, Lda., Coimbra, Portugal, Bento X, Twevo, Lda., Coimbra, Portugal, et al. VIEXPAND – Industrial Video for Expanded Vision in Remote Operations. International Journal of Industrial Engineering and Management. 2024;15(4):291-303. doi:10.24867/ijiem-2024-4-364
  52. Liyakat Kazi KS. ChatGPT. Advances in Computational Intelligence and Robotics. 2024:1-20. doi:10.4018/979-8-3693-4268-8.ch001
  53. Gulzar B, Ahmad Sofi S, Sholla S. Cognitive transformation in personal IoT: Pioneering intelligent automation. Cyber-Physical Systems (CPS). 2025 Apr 3; 11(2): 183–240.
  54. Chandane ER, Patil A, Bokephode P, Shete A, Kulkarni A, Rajwani D. Landmine Detecting Robot.Int Adv Res Sci Commun Technol. 2025 Jan; 5(1): 208–219.
  55. Kazi KS. Transformation of Agriculture Effectuated by Artificial Intelligence-Driven Internet of Things (AIIoT). In: Integrating Agriculture, Green Marketing Strategies, and Artificial Intelligence.IGI Global Scientific Publishing; 2025; 449–484.
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