Surveillance & Elections

Centralized Monitoring System

Centralized video management & surveillance dashboard for election monitoring with real-time analytics, device health tracking, and multi-camera views across polling stations.

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Strategic Overview

Centralized video management & surveillance dashboard for election monitoring with real-time analytics, device health tracking, and multi-camera views across polling stations.

Project StatusProduction Ready

Lead Technical Stack

ReactViteNode.jsWebSocketsREST API

Project Showcase

Objectives & Outcomes

End-to-end front-end development with React + Vite

Real-time surveillance command center

Device lifecycle management & health monitoring

Zone-based queue analytics & alert systems

Command Center

High-availability monitoring UI

Live Analytics

Real-time data visualization

Device Health Monitor

Automated status reporting

Multi Camera View

Low-latency stream tiling

Full-Stack Engineering

Lead System Architect

Karthik

Technical Area	Responsibilities & Impact
Product Architecture	Engineered dual-layer User Panel for live feed monitoring and a comprehensive Admin Panel for dynamic branding and visibility controls.
Azure Cloud Infrastructure	Designed and managed the full Azure ecosystem including Blob storage for feed archiving, high-performance VMs for streaming, and primary database orchestration.
Scalability Ops	Conducted rigorous load testing to optimize VM allocation, ensuring stable real-time monitoring for up to 100,000+ (lakhs) concurrent devices.
Full-Stack Guidance	Provided unified technical leadership across Front End, Cloud Deployment, and Backend API layers to align development with rigorous design requirements.

Team Collaboration

Akash

Backend Developer

End-to-end development of all backend modules and infrastructure logic.

Bhanu

Integration Lead

Managed specialized SDK integrations and high-latency Queue Management System (QMS) modules.

Explore Future Engineering

2026 ROADMAP OVERVIEW

Technical plans for Operator Management & Enterprise AI scaling.

Current Performance

LEAD QUICK STATS

Portfolio-wide technical impact analysis & fleet overview.

Expertise & Mastery

TECHNOLOGIES WORKED

Web:

ReactNext.jsTypeScriptTailwindReduxNodeFastAPI

Core:

JSPythonMongoDBPostgreSQLRedisREST APIs

Infra:

AWSAzureGCPDockerMobile (RN)