Poverty Tracker System for Real-Time Poverty Analysis

Abstract

This paper presents Poverty Tracker, an intelligent and interactive web-based framework designed to monitor, predict, and visualize poverty-related data in real time. Traditional poverty-tracking methods rely on manual surveys and static reports, resulting in delayed and error-prone outcomes. The proposed system leverages React, Vite, and AI-based image analysis to provide dynamic poverty visualization, predictive insights, and personalized recommendations. Modules such as Dashboard, Calculator, Compare, Stories, Schemes, and Scan collectively enhance analytical depth. By integrating Recharts for data visualization and React-Leaflet for geographical mapping, the system enables users and policymakers to analyze poverty trends efficiently. The Poverty Tracker promotes data transparency, community engagement, and intelligent poverty assessment, bridging the gap between socioeconomic data and actionable insights.