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Sahil Waje,
V. S. Baste,
Onkar Shende,
Abhijeet Rupnawar,
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, SPPU, Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, SPPU, Pune, Maharashtra, India
- Student, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, SPPU, Pune, Maharashtra, India
- Assistant Professor, Department of Electronics & Telecommunication Engineering, Smt. Kashibai Navale College of Engineering, Vadgaon, SPPU, Pune, Maharashtra, India
Abstract document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_110597’);});Edit Abstract & Keyword
The proposed system aids to control malpractices which are present in ration shops by replacing manual work with automatic systems based on machine learning. The ration distribution system is automated by using machine learning algorithms. Once consumer is validated by password, the system will provide the customer information like how many people’s rations is permitted to their account, how much ration will be provided, on which day the ration would be available to distribute etc. IoT-based ration system with dispenser unit using microcontroller, ESP-CAM, keypad, LCD, RFID card, RFID reader, motor driver, and motor for dispenser is a system that can be used to distribute rations to people in a controlled and efficient manner. The system can be used in a variety of settings, such as refugee camps, disaster relief areas, and schools. The system can be configured to dispense different types of rations based on the person’s needs. For example, the system can be configured to dispense different amounts of food to children and adults. The system can also be configured to dispense different types of food based on the person’s dietary needs. The system can be integrated with a cloud-based database to store data on the ration transactions. This data can be used to track the distribution of the ration and to identify areas where there is a shortage of rations.
Keywords: Machine learning, RFID, IOT, ESP-CAM, DC Motor, LCD display
[This article belongs to Research & Reviews: A Journal of Embedded System & Applications (rrjoesa)]
Sahil Waje, V. S. Baste, Onkar Shende, Abhijeet Rupnawar. Innovative Secure Public Ration Distribution using Machine Learning. Research & Reviews: A Journal of Embedded System & Applications. 2024; 12(03):-.
Sahil Waje, V. S. Baste, Onkar Shende, Abhijeet Rupnawar. Innovative Secure Public Ration Distribution using Machine Learning. Research & Reviews: A Journal of Embedded System & Applications. 2024; 12(03):-. Available from: https://journals.stmjournals.com/rrjoesa/article=2024/view=0
References
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Research & Reviews: A Journal of Embedded System & Applications
| Volume | 12 |
| Issue | 03 |
| Received | 08/09/2024 |
| Accepted | 13/09/2024 |
| Published | 25/09/2024 |
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