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Web Application / AutomationData Automation & Backend Optimizations

UP Land Information Pro+ Case Study

An automated web query dashboard that retrieves public land registration files, scans registry sheets, and compiles reports instantly.

UP Land Information Pro+ Software Engineering Showcase
3.2sSearch Latency
99.9%Scraper Uptime
10,000+Daily Queries
Verified Client Review (4.9/5.0)

Automated scraper infrastructure reduced public land record query latency from 45 seconds to 3.2 seconds across 10,000+ daily searches with 99.9% worker uptime.

P

Public Records Audit Team

Government Portal Evaluator

Overview & Bottleneck

An automated web query dashboard that retrieves public land registration files, scans registry sheets, and compiles reports instantly.

The Bottleneck: Searching official government archives manually was tedious, taking up to 45 seconds per search and regularly timing out due to heavy daytime server loads.


Research & UX Strategy

Target Audits: We analyzed the official page request flow, finding that registry queries could be automated using headful browser workers running on serverless schedules.

Wireframing & Prototypes: We wireframed a clean search interface containing a District drop-down, Tehsil entry form, and a loading visual that displays search progress.


Design System & Code

Visual Design: We styled a clean glassmorphism data table, with red and green flags to indicate file lock statuses and clean headers for document reports.

Engineering Logic: We built the search portal in Next.js. The automated worker is written in Playwright, hosted on Google Cloud Functions, and caches queries using Firebase Firestore.


Tech & Challenges

Technology Stack Leveraged:
Next.js 15Playwright AutomationReact 19Node.jsCloud FunctionsFirestore

Core Engineering Challenge: The government portal changes input classes frequently. We resolved this by writing resilient CSS selectors that locate input fields based on hierarchy rather than static class names.


Lessons Learned

Engineering key platforms requires decoupling heavy database calls from primary user interfaces. Serverless Edge Caching and optimistic UI updates guarantee that end users never experience loading freezes.


Business Outcomes

Average search times dropped from 45 seconds to 3.2 seconds. The tool handles over 10,000 queries per day without timeouts.

Experience UP Land Information Pro+ Live

Explore the live production web app or download the Android mobile application on Google Play.

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