Viksit Bharat: An AI-Enhanced Offline-First Smart Civic Assistance Platform

TLDR

Vksit Bharat is presented, an AI-enhanced offline-first smart civic assistance platform designed to modernize digital governance through an integrated and scalable architecture and contributes toward smart governance by integrating artificial intelligence, offline-first architecture, emergency response support, and intelligent welfare scheme assistance.

Abstract

Efficient civic service delivery remains a major challenge in many regions due to fragmented complaint systems,

limited awareness of government welfare schemes, delayed emergency response mechanisms, and poor accessibility in lowconnectivity areas. Existing civic platforms primarily focus on isolated functionalities and lack intelligent assistance, offline

accessibility, and unified citizen-government interaction. This paper presents Viksit Bharat, an AI-enhanced offline-first smart

civic assistance platform designed to modernize digital governance through an integrated and scalable architecture. The

proposed system combines a Smart Complaint Management Module, an Emergency SOS System, an AI-powered Civic

Assistance Module, and a Government Scheme Eligibility Engine within a Progressive Web Application (PWA). The complaint

management module enables structured issue reporting and real-time status tracking, while the emergency module supports

rapid alert generation with location-aware assistance. A key component of the platform is the Scheme Eligibility Engine, which

analyzes user-provided demographic and socioeconomic information to identify eligible government welfare schemes and assist

citizens in the application process. The AI assistance layer further enhances accessibility by providing conversational civic

guidance and support for user queries. The platform utilizes React.js, Node.js, Express.js, MongoDB, IndexedDB, Service

Workers, and Geolocation APIs to ensure scalability, responsiveness, and offline-first functionality. Interactive analytics

dashboards provide authorities with complaint trend visualization and data-driven governance insights. Experimental

evaluation demonstrates improved accessibility, reliable offline synchronization, enhanced scheme awareness, faster complaint

handling, and increased citizen engagement. The proposed system contributes toward smart governance by integrating artificial

intelligence, offline-first architecture, emergency response support, and intelligent welfare scheme assistance into a unified

civic technology platform suitable for modern digital governance initiatives