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Realtime Election Data Processing and Analytics Platform

yalantis

Government

Information technology

Business Challenges

Manual data processing requiring 600 hours for 64,000 ballots, scalability limitations during peak election periods, vulnerability to data manipulation, outdated technology stack, and poor user experience with static visualization tools

About the Client

Realtime election data processing platform providing structured charts and analytics

Key Project Goals

Automate manual data processing workflows
Ensure system scalability for 100,000+ RPS during elections
Implement fraud detection mechanisms
Modernize technology stack for performance optimization
Deliver interactive visualization tools for election data

Core System Capabilities

Automated ballot chart generation via rule-based scripts
GraphQL API for multi-object data interactions
Interactive SVG map filtering with React integration
Role-based access control for election commissioners
Real-time data logging and audit trail system
Chart customization and preview functionality

Technology Stack Requirements

GraphQL API

AWS Lambda

AWS AppSync

Aurora MySQL

React.js

Serverless architecture

System Integration Needs

AWS Cloud infrastructure
Admin panel role management system
Election machine data upload interface

Operational Requirements

Horizontal scalability to 100,000 requests/second
Sub-2 second response time for 450 concurrent users
99.99% system availability during election periods
Data integrity verification mechanisms
Load-balanced server configuration

Business Value Projections

Reduction of ballot processing time from 600 hours to 3 hours per electoral area, 200x improvement in chart generation speed, 25% development time savings through optimized database architecture, and guaranteed system stability during critical election periods with automated server scaling