Case Studies

Technical details behind the products we have built — challenges, architecture decisions, and results.

AnzanPro — Multi-Platform Digital Abacus

AnzanPro (Internal Product)

Traditional abacus learning relies on physical soroban manipulation, making remote instruction difficult. The core engineering challenge was replicating realistic bead physics and multi-touch gesture recognition across Android, iOS, and Web from a single codebase — while maintaining sub-100ms touch response to feel tactile rather than laggy.

FlutterFirebaseNode.jsMongoDBCloud Functions

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EdTech3 months•5 engineers

PYQBank — Adaptive Exam Prep Platform

PYQBank (Internal Product)

NEET and JEE aspirants need structured access to 22,000+ previous year questions organized by chapter, topic, and difficulty — with a study system that adapts to individual retention patterns. Existing platforms offered static question banks without intelligent review scheduling or exam pattern analysis.

Next.jsTypeScriptPostgreSQLRedisTailwind CSS

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E-Commerce5 months•8 engineers

VegPick — Three-App Grocery Delivery

VegPick (Internal Product)

Building a grocery delivery platform requires three distinct applications — customer storefront, vendor inventory management, and rider delivery tracking — that must operate in real-time coordination. The challenge was maintaining shared business logic across apps while handling concurrent order state transitions, live GPS tracking, and payment reconciliation.

FlutterNode.jsMongoDBFirebaseRazorpay SDK

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Transportation4 months•6 engineers

CabPool — Dual-Role Ride Sharing

CabPool (Internal Product)

Unlike traditional ride-hailing apps with separate driver and passenger apps, CabPool allows any user to switch between driving and riding within the same application. This dual-role model requires real-time matching algorithms that consider both route overlap and schedule compatibility, along with a fare calculation engine that handles pooled ride splitting.

FlutterNode.jsMongoDBGoogle Maps APIFirebase

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