Real Estate SaaS

PropTech Property Valuation Engine

Impact
50,000+ App Downloads in 3 Months
Impact
4.7-Star User Rating
Impact
Instant Valuation Responses (< 200ms)

Executive Summary

  • The Challenge: A real estate startup wanted to disrupt the local market with a Zillow-style platform that offered instant property v...
  • The Solution: We developed a robust full-stack application (MongoDB, Express, React, Node) integrated with a custom data pipeline.
  • The Impact: Significant reduction in operational overhead and measurable ROI.

The Challenge

A real estate startup wanted to disrupt the local market with a Zillow-style platform that offered instant property valuations. However, local tax records and property data were notoriously unstructured and fragmented. They needed a high-performance MVP that could aggregate massive datasets, run valuation models, and serve the results instantly to a mobile app.

Market Context: According to Gartner research, over 80% of enterprises will have deployed Generative AI by 2026, making secure, compliance-ready architectures critical for competitive advantage.

The Solution Architecture

We developed a robust full-stack application (MongoDB, Express, React, Node) integrated with a custom data pipeline. We wrote Python scraping microservices to aggregate daily municipal property records. A TensorFlow-based regression model was trained to predict property values based on historical trends and local amenities, served via a fast REST API. **System Architecture:** Frontend: React.js | Mobile: Flutter | Backend: Node.js (Express), Python (FastAPI) | Database: MongoDB | Cloud: AWS ECS, S3.

The Impact & Key Results

  • 50,000+ App Downloads in 3 Months
  • 4.7-Star User Rating
  • Instant Valuation Responses (< 200ms)
  • Successfully Disrupted Regional Real Estate Market

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