This paper presents a novel approach to modernizing the ration distribution system (RDS) by integrating mobile technology, aiming to tackle challenges related to efficiency, accessibility, and transparency. Leveraging mobile applications, SMS notifications, and real-time data analytics, the system facilitates seamless communication between beneficiaries, government agencies, and distribution centers. Key features include biometric authentication, real-time information updates, and secure payment options. The innovative hardware setup, utilizing microcontroller technology and load cells, enhances accuracy and efficiency in ration distribution. Pilot testing has demonstrated the system's effectiveness and garnered positive user feedback, indicating significant improvements over existing systems. Future research could focus on scalability, additional features such as multilingual support, and integration with government databases. Further advancements, including machine learning and blockchain technologies, hold potential for enhancing system functionality and security, ultimately contributing to improved social welfare and equitable access to essential resources.

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Modernized Ration Distribution System with Integrated Mobile Accessibility

  • V. Prabhu,
  • R. Dharshini,
  • T. Janani,
  • V. Jyothi Priya,
  • D. Ruban Thomas

摘要

This paper presents a novel approach to modernizing the ration distribution system (RDS) by integrating mobile technology, aiming to tackle challenges related to efficiency, accessibility, and transparency. Leveraging mobile applications, SMS notifications, and real-time data analytics, the system facilitates seamless communication between beneficiaries, government agencies, and distribution centers. Key features include biometric authentication, real-time information updates, and secure payment options. The innovative hardware setup, utilizing microcontroller technology and load cells, enhances accuracy and efficiency in ration distribution. Pilot testing has demonstrated the system's effectiveness and garnered positive user feedback, indicating significant improvements over existing systems. Future research could focus on scalability, additional features such as multilingual support, and integration with government databases. Further advancements, including machine learning and blockchain technologies, hold potential for enhancing system functionality and security, ultimately contributing to improved social welfare and equitable access to essential resources.