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Real Apps. Real Problems. Real Results.

Every product started with a real-world observation — proof that Lagariya Labs ships production software.

Featured Enterprise B2B Architecture
GCC & Global Operations

High-Volume Travel & Visa Operations Engine

Zero-touch passport MRZ extraction via Gemini Vision OCR, multi-desk WhatsApp lead routing, and sub-second dynamic PDF travel voucher dispatch for travel agencies and corporate tour operators.

Gemini Vision OCRWhatsApp Cloud WebhooksMRZ Checksum ParseriText7 PDFPostgreSQLRedis Queue
< 2s

Intake Speed

95%

Error Cut

Read Architecture Blueprint →
enterprise.travel.pipeline

High-Volume Travel & Visa Operations Engine — Reference Architecture

Reference Architecture: Autonomous Optical Intake, Multi-Desk Routing & Sub-2s PDF Voucher Engine

TravelTechGemini Vision OCRWhatsApp WebhooksDynamic PDFEnterprise Architecture

Problem

High-volume UAE and GCC travel desks handling tourist visas, holiday itineraries, and flight bookings lost 15+ hours weekly to manual passport data entry, transcription typos in airline portals, and chaotic WhatsApp unassigned lead drop-offs.

Research & Fieldwork

Audited back-office workflows across prominent travel operators. Found that 88% of incoming client documents arrive as camera photos of passports on WhatsApp. Typing errors in passport numbers or passenger names led to denied boarding or visa rejection costs exceeding thousands of dollars monthly.

Engineering Solution

Engineered a high-concurrency operations pipeline: zero-touch Gemini Flash Vision document parser extracting passport MRZ and visa details with deterministic checksum algorithms, official WhatsApp Cloud API webhook router classifying intent across desks, and sub-second dynamic PDF compiler generating branded travel itineraries and booking slips with QR verification.

Architecture Stack

Gemini Vision APIWhatsApp Cloud WebhooksMRZ Checksum ParseriText7 PDF EnginePostgreSQL / SupabaseRedis Queue (BullMQ)AES-256 PII Vault

AI & Tooling Workflow

Multimodal Gemini Flash Vision with strict JSON schema constraints for sub-2s optical extraction from phone photos. RegEx heuristics cross-verifying MRZ Type 3 checksum digits against OCR output to achieve 99.8% field extraction precision with automated glare/blur detection.

Quantified Production Result

Reference architecture with lab-verified targets: sub-2s optical intake, 95% fewer manual entry errors vs. hand typing in testing, under 30-second multi-desk lead dispatch, and zero-touch branded PDF voucher generation in client WhatsApp chats. Client production results will vary — verified per deployment.

com.expiryalertpro

Distributed Vision-Based Retail Inventory & Loss-Prevention System

10,000+ Play Store Downloads • Sub-Second Barcode & Expiry OCR • AES-256 Offline-First Room Architecture

Distributed Vision-Based Retail Inventory & Loss-Prevention System showcase
Computer VisionRetail AutomationGemini VisionRoom DBEdge AIOffline-First

Problem

High-SKU retail pharmacies and supermarket chains suffer heavy financial write-offs and compliance fines from unsellable expired inventory. Manual batch inspections fail to scale across hundreds of product shelves.

Research & Fieldwork

Discovered that warehouse staff and store managers abandoned traditional inventory software because manual keystroke logging was too slow during shelf stocking. Optical ingestion was required to capture brand, SKU, price, and expiry in under 3 seconds.

Engineering Solution

Architected a distributed edge vision system combining Google Gemini 2.0 Flash Vision and ML Kit CameraX pipeline with an offline-first Room database. Engineered tiered risk scoring (Safe, Upcoming, Critical, Expired) and automated waste prevention analytics.

Architecture Stack

Gemini 2.0 Flash VisionCameraX ML KitKotlin Clean ArchitectureRoom DB (KSP)Firebase Sync QueueAES-256 Android KeyStoreWorkManager Daemon

AI & Tooling Workflow

Custom vision parsing pipeline with temperature constraints and JSON schema validation extracting messy pharmaceutical labels and expiry codes. Client-side rate-limiters and background offline sync queue guaranteeing zero data loss during network blackouts.

Quantified Production Result

10,000+ Play Store downloads (public bracket) with a 4.8★ rating. In-store pilots reported up to 35% lower retail stock spoilage — measured per deployment, not a guaranteed outcome.

com.tractorpro

Industrial Equipment Telematics & Financial Session Engine

Multi-Tenant Ledger Architecture • Sub-Second Geofence Calculations • Zero-Latency Offline Sync

Industrial Equipment Telematics & Financial Session Engine showcase
Industrial IoTFleet TelematicsGoogle TinkOffline-FirstEnterprise LedgerRoom Paging

Problem

Heavy machinery leasing fleets and rural agricultural contractors faced massive revenue leakage from lost paper hisaab diaries, unverified machinery runtime, and disputed seasonal billing calculations.

Research & Fieldwork

Field trials across machinery operators revealed that operations occur in remote excavation and farm zones with zero cellular connectivity. Fleets require multi-unit operational tracking (Hours, Bigha, Acre, Trolley trips) and immutable cryptographic financial ledgers.

Engineering Solution

Built an industrial equipment telematics and session ledger with 18 distinct use cases. Engineered offline session logging, Google Tink cryptographic data stores, automated WorkManager payment scheduling, and one-tap UTF-8 BOM CSV exports compatible with enterprise ERPs.

Architecture Stack

Domain-Driven Architecture (18 Use Cases)Google Tink CryptographyRoom Paging 3Bi-Directional SyncCoordinatorWorkManager DaemonTrilingual EngineUTF-8 BOM CSV

AI & Tooling Workflow

Algorithmic unit conversion engine supporting dynamic mathematical implement formulas. AI-verified transactional sync queue ensuring deterministic reconciliation when field devices reconnect to cellular networks.

Quantified Production Result

5,000+ Play Store downloads (public bracket) with a 4.7★ rating. Operators using it report faster payment collection and fewer billing disputes thanks to verifiable digital dispatch receipts.

com.card.mint.cardbuilder

Taksal: Business & Design Hub

Native 300 DPI Skia Vector Engine • Thermal ESC/POS POS Driver • KeyStore TEE Security

Taksal: Business & Design Hub showcase
Vector EngineESC/POS ThermalJetpack ComposeKeyStore TEEOffline-First

Problem

Commercial print shops and micro-merchants were locked into expensive desktop CAD/design suites and separate POS terminals that failed completely in connectivity-constrained retail environments.

Research & Fieldwork

Interviewed 40+ print press operators and merchants. Confirmed that offset print shops require sub-pixel 300 DPI vector PDF exports and direct Bluetooth thermal ESC/POS slip generation on mobile.

Engineering Solution

Architected an 8-module native Android suite uniting a custom Skia 300 DPI vector engine with an offline commerce backend: GST calculation, dynamic UPI QR generation, and hardware-backed KeyStore AES-256 encryption.

Architecture Stack

Kotlin Multi-Module (8 Modules)Jetpack Compose & Skia ShadersRoom Database (KSP)Android KeyStore TEE (AES-256)iText7 Vector PDF EngineESC/POS Thermal Driver

AI & Tooling Workflow

Designed computer vision heuristic segmentation ('Magic Layers') that decomposes flat raster graphics into editable vector paths with zero external cloud dependencies.

Quantified Production Result

5,000+ Play Store downloads (public bracket) with a 4.8★ rating. Lets retail merchants design offset print assets and print thermal receipt slips 100% offline.

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