Smart E-Ration Booking with Score-Based Access

Mamidi Dhanush Reddy

Computer science and engineering Hyderabad Institute Of Technology And Management

Hyderabad, India 22e51a0571@hitam.org

Patcha Namatha Priya

Computer science and engineering Hyderabad Institute Of Technology And Management

Hyderabad, India 22e51a0592@hitam.org

Koti Reddy

Computer science and engineering Hyderabad Institute Of Technology And Management

Hyderabad, India hitam123@hitam.org

Uppu Sai Vivek

Computer science and engineering Hyderabad Institute Of Technology And Management

Hyderabad, India 22e51a05c1@hitam.org

Padala Karthik

Computer science and engineering Hyderabad Institute Of Technology And Management

Hyderabad, India 22e51a0590@hitam.org

V A Shriya

Computer science and engineering Hyderabad Institute Of Technology And Management

Hyderabad, India 22e51a05c2@hitam.org

Abstract - The traditional Public Distribution System (PDS) is frequently hindered by manual record-keeping errors, lack of transparency, and inequitable resource allocation. This paper proposes the Smart e-Ration Booking System, a web-based platform designed to modernize ration delivery through a dynamic score-based prioritization mechanism. Developed using the Flask framework and Tailwind CSS, the system categorizes households based on socio-economic indicators, ensuring that essential commodities are allocated to the most vulnerable populations first. The architecture facilitates a seamless interface between users, administrators, and distributors, featuring secure authentication and a centralized digital ledger for transaction transparency. A core innovation of the system is its Demand Forecasting module, which utilizes historical data to predict inventory needs. Evaluated against a dataset of 250 ration-card records, the system achieved a Mean Absolute Error (MAE) of 2.5, demonstrating high predictive accuracy. By automating slot booking and user activity tracking, the platform mitigates overcrowding and administrative overhead. This research confirms that a data-driven, automated approach significantly enhances the efficiency, fairness, and scalability of public distribution infrastructures.Keyword: Ration distribution, Public Distribution System (PDS), web application, score-based prioritization, Flask, Tailwind CSS, demand forecasting, Mean Absolute Error (MAE), automated resource allocation, user activity tracking, e-governance, social equity, predictive analytics, data-driven logistics, and slot booking system.