Research on an Application Based Internal Student Grade Reporting System
DOI:
https://doi.org/10.53469/jerp.2024.06(07).13Keywords:
WhatsApp API, Admin interface, WhatsApp integrationAbstract
In recent years, digital platforms have significantly transformed various aspects of communication and information sharing. This project proposes the development of a WhatsApp-based student internal marks reporting system aimed at providing parents with convenient and timely access to their child's CIE performance.
References
Set up a backend system: You can use programming languages like Python, PHP, or Node.js with frameworks like Django or Flask.
Obtain WhatsApp Business API: Visit the official WhatsApp Business API documentation (https://developers.facebook.com/docs/whatsapp/gettin g-started/) to understand the process of setting up and using the API.
Integrate WhatsApp API with your backend: Utilize the WhatsApp API to send and receive messages. You can use the Twilio API for WhatsApp (https://www.twilio.com/whatsapp) or similar services to simplify the integration.
Develop the internal marks reporting system: Design a system that allows parents to receive their child's internal marks via WhatsApp. Implement features such as user authentication, retrieving and processing marks data, and sending automated messages to parents.
M. Managuli, A. Deshpande and S. H. Ayatti, "Emergent vehicle tracking system using IR sensor," 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), Mysuru, India, 2017, pp. 71-74, doi: 10.1109/ICEECCOT.2017.8284579.
V. J. Pandurangi, M. Managuli, S. Salakhe, S. Bangarshetti and P. N. Kunchur, "Detection & Classification of Electronic Nose System," 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2021, pp. 1- 4, doi: 10.1109/ICICCS51141.2021.9432248.
Managuli, Manjunath, and Abhay Deshpande. "Robotized Food Quality Technique utilizing Electronic Nose System." Test Engineering and Management 82.13 (2020): 11852-11856.
Managuli, M., & Deshpande, A. (2020). Robotized Food Quality Technique utilizing Electronic Nose System. Test Engineering and Management, 82(13), 11852- 11856.
Managuli, Manjunath, and Abhay Deshpande. "Robotized Food Quality Technique utilizing Electronic Nose System." Test Engineering and Management 82, no. 13 (2020): 11852-11856.
Managuli, M. and Deshpande, A., 2020. Robotized Food Quality Technique utilizing Electronic Nose System. Test Engineering and Management, 82(13), pp.11852- 11856.
Managuli M, Deshpande A. Robotized Food Quality Technique utilizing Electronic Nose System. Test Engineering and Management. 2020 Feb;82(13):11852- 6.
G. S. Navale, R. Madala, M. Managuli, N. Jayalakshmi, G. Kadiravan and R. Rawat, "Research and Innovation in Next Generation Security and Privacy In Industry 5.0 Iot," 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Gautam Buddha Nagar, India, 2023, pp. 1384-1390, doi: 10.1109/IC3I59117.2023.10397984.
K. T. Krishnamurthy, M. Managuli, R. S, K. R. Niranjan, D. Kumar and S. B. Malipatil, "Development of Overflow Prediction And Wall Supervision System for Flood Forecasting," 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), Bengaluru, India, 2022, pp. 121- 125, doi: 10.1109/IIHC55949.2022.10060205.
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Copyright (c) 2024 Prodpran Charis Suranaowarat, Thita Chanthaphaso
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