Greentag: Real Estate Technology

buzznog is the result of mobile and web app development services by ropstam solutions

Industry

PropTech / Real Estate Technology

Features

  • AI-based defect detection from captured photos
  • Property and room-level inspection and reporting
  • Dynamic report generation (PDF and Excel)
  • Ask Dena (AI chatbot using RAG for property-specific answers)
  • Tier-based subscription management and one-time purchases
  • Offline scan storage and background image upload

Technology Stack

React Native
Node JS
AWS
MongoDB
UI UX design of buzznog by ropstam solutions

About GreenTag

Reinventing Property Inspections with AI GreenTag is an AI-powered property inspection platform designed to help home buyers make informed decisions. The application enables users to scan property interiors, detect structural and cosmetic issues using computer vision and large language models, estimate localized repair costs, and interact with an intelligent assistant for deeper insights.
Ropstam initially delivered the complete UI/UX design for GreenTag. The client later partnered with another development team to build the product; however, the delivered system fell short of expectations. The client re-engaged Ropstam to audit, stabilize, and fully deliver the platform.
Ropstam conducted a comprehensive QA and technical audit, identified critical gaps, and executed a structured recovery plan. The team then assumed full ownership of development, stabilizing the system, integrating AI capabilities, implementing subscriptions and offline functionality, and successfully launching the product.

Deliverables

  • End-to-end UI/UX Design System
  • QA Audit & Technical Assessment
  • UI/UX Corrections & Enhancements
  • Cross-Platform Mobile Apps (iOS & Android)
  • RESTful Backend (Node.js / TypeScript)
  • AI Image Processing Pipeline (YOLO + GPT Vision)
  • AI Chat Assistant (“Dena”) using LangChain
  • Subscription & Monetization System (RevenueCat)
  • Multi-Currency & Multi-Region Support
  • Offline Capture & Sync System
  • PDF & Excel Report Generation
  • Push Notification System (Firebase FCM)
  • Post-Launch Support & Maintenance

Team Composition

  • Duration: May 2025 – Ongoing
  • Total Effort: ~395 Engineering Hours
  • Team Size: 4 Specialists

Team Composition

  • UI/UX Designer
  • QA Engineer / Technical Auditor
  • Mobile Developer (React Native / Expo)
  • Backend Developer (Node.js / TypeScript)

The Challenge

Product Challenges

Traditional property inspection methods are often:

  • Expensive and time-intensive
  • Static and document-heavy
  • Lacking interactivity and real-time insights
  • Limited in cost transparency
  • Difficult to compare across multiple properties

Buyers required a modern solution that could provide:

  • Instant defect detection
  • Accurate, localized repair cost estimates
  • Actionable negotiation insights
  • Multi-property comparison
  • Offline functionality for low-connectivity environments

Delivery Challenges

After initial design delivery, the product built by another team presented several issues:

  • Critical functional defects
  • Missing core features
  • Inconsistent UI/UX implementation
  • Incomplete AI integration
  • Weak architectural foundations

Ropstam needed to recover and enhance the product without restarting development from scratch.

user interface of buzznog by ropstam solutions

The Solution

Structured Recovery Strategy
Ropstam adopted a phased recovery approach to restore and deliver the product efficiently:

developer working at ropstam solutions

Phase 1: Audit & Gap Analysis

  • Functional validation against design specifications
  • Codebase and architecture assessment
  • Identification of missing and incomplete features
  • Cross-platform consistency checks

Phase 2: Stabilization & Alignment

  • UI corrections to match approved designs
  • Backend optimization and API fixes
  • Architectural restructuring
  • Completion of critical features

Phase 3: Feature Completion & Enhancement

  • AI detection pipeline integration
  • Subscription and billing system
  • Offline inspection capability
  • Multi-currency and localization support
  • AI-based issue grouping

This approach enabled Ropstam to salvage usable components while resolving major deficiencies, avoiding a full rebuild and saving both time and cost.

To achieve the outcome, the following three-faceted approach was followed:
Comprehending
the Design
App
Development
Testing &
Launching
Ropstam adopts a development approach characterized by collaboration, openness, and careful consideration.

Key Features

AI-Powered Defect Detection

The platform uses a hybrid AI pipeline:

  • YOLO-based object detection
  • GPT Vision for classification
  • Severity and confidence scoring

This enables automated detection of property defects directly from images.

Localized Cost Estimation

Each detected issue includes:

  • The estimated repair cost ranges
  • Region-specific calibration
  • Multi-currency support (USD, CAD, GBP, AUD, NZD)

AI Issue Grouping

The system intelligently consolidates related defects across multiple images into unified insights, reducing duplication and improving report clarity.

Inspection Reports

Two levels of reporting:

  • Room-Level Reports: Detailed defect analysis
  • Property-Level Reports: Aggregated insights and cost summaries

Available in:

  • In-app view
  • PDF export
  • Excel export

Dena – AI Chat Assistant

Built with LangChain and GPT models, Dena enables users to:

  • Ask contextual questions about defects
  • Upload images for analysis
  • Receive region-specific insights
  • Maintain conversational continuity

Offline Inspection Mode

Designed for real-world usability:

  • Local data storage
  • Automatic sync on reconnection
  • Background processing and retry handling

Subscription & Monetization

Implemented via RevenueCat:

  • Multiple pricing tiers
  • Cross-platform validation
  • Server-side subscription enforcement

Notifications & Authentication

  • Firebase Cloud Messaging for real-time alerts
  • Apple Sign-In, Google OAuth, and email authentication
  • Fully compliant with platform policies

Tech Stack

Frontend

  • React Native (Expo)
  • TypeScript
  • Zustand

Backend

  • Node.js (v20+)
  • Express
  • MongoDB
  • PostgreSQL (pgvector)
  • LangChain
designer working at ropstam solutions
ui ux designer working at ropstam solutions

Infrastructure

  • AWS S3
  • Docker
  • Heroku
  • OpenAI GPT
  • Roboflow YOLO
  • Firebase FCM
  • RevenueCat

Project Timeline Highlights

  • May – June 2025: UI/UX Design
  • August 2025: QA Audit of Existing System
  • Aug – Sept 2025: Stabilization & Feature Completion
  • September 2025: Subscription & Offline System Implementation
  • Nov – Dec 2025: Post-Launch Enhancements
  • Nov 2025 – Ongoing: Support & Maintenance

Results

final results of buzznog by ropstam solutions
What Was Delivered?
android application developed by ropstam solutions

Android Application

ios application developed by ropstam solutions

iOS Application

Ropstam successfully transformed an unstable, partially developed product into a production-ready platform.

Key Outcomes

  • Successful iOS and Android launch
  • ~395 hours of focused engineering effort
  • Full AI pipeline implementation
  • Live subscription system
  • Offline-first inspection capability
  • Multi-country scalability from a unified backend
  • Recovery of the inherited system without a full rebuild

Business Impact

GreenTag delivers significant value to modern property buyers:

  • Enables independent, AI-assisted inspections
  • Provides transparent and localized repair costs
  • Strengthens buyer negotiation strategies
  • Supports comparison across multiple properties
  • Establishes a scalable, subscription-based revenue model
  • Positions the platform for global PropTech expansion 

Client’s Testimonial

The team communicates very well. It’s very refreshing Ropstam suggested innovated that we haven’t thought about. Overall outcome is highly appreciated.

Founder - Greentag

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