Innovative Secure Public Ration Distribution Using Machine Learning


Year : 2024 | Volume : 12 | Issue : 03 | Page : 25-30
    By

    Sahil Waje,

  • V.S. Baste,

  • Onkar Shende,

  • Abhijeet Rupnawar,

  1. Student, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India
  2. Student, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India
  3. Student, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India
  4. Assistant Professor, Department of Electronics and Telecommunication Engineering, Smt. Kashibai Navale College of Engineering (affiliated to Savitribai Phule Pune University), Pune, Maharashtra, India

Abstract

The proposed system aids in controlling malpractices that 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 the consumer is validated by password, the system will provide the customer information like how many people’s rations are permitted to their account, how many rations will be provided, and on which day the ration would be available to distribute. IoT-based ration system with a dispenser unit using a microcontroller, ESP-CAM, keypad, LCD, Radio Frequency Identification (RFID) card, RFID reader, motor driver, and motor for the 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 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

[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]

How to cite this article:
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):25-30.
How to cite this URL:
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):25-30. Available from: https://journals.stmjournals.com/rrjoesa/article=2024/view=180684


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Regular Issue Subscription Review Article
Volume 12
Issue 03
Received 08/09/2024
Accepted 13/09/2024
Published 25/09/2024
Total Visits: 96


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