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Development of a Smart Shared Housing Matching Platform with Advanced Compatibility Algorithm

dashbouquet.com

Real estate

Information technology

Consumer products & services

Urban Housing Affordability and Roommate Compatibility Challenges

Rising urban housing prices have created high demand for shared flats among young professionals, but poor information and compatibility mismatches lead to inefficient decision-making and wasted time for both flat seekers and providers.

About the Client

Real estate technology platform connecting young professionals with compatible shared housing opportunities

Platform Goals

Develop a web application with intelligent matching capabilities
Create standardized personality and preference assessment tools
Implement location-based housing search functionality
Establish secure user communication channels
Ensure scalable cloud deployment architecture

Core System Capabilities

Multi-dimensional personality questionnaire
Dynamic compatibility scoring algorithm
Location-aware housing inventory system
Gender preference filtering mechanism
Real-time messaging interface
Match percentage visualization dashboard

Technology Stack Requirements

Node.js with Nest.js framework

TypeScript

PostgreSQL

Docker with Docker Compose

Heroku cloud platform

Cloudinary media management

React with Redux architecture

REST API and Apollo Client

External System Integrations

Cloudinary image processing
Heroku deployment pipeline
Geolocation API integration

System Quality Attributes

Horizontal scalability for growing user base
Sub-second response time for match calculations
End-to-end data encryption
High-availability cloud architecture
Cross-browser compatibility

Enhanced Shared Housing Matching Efficiency and User Satisfaction

The platform will reduce housing search time by 40-60%, increase roommate compatibility rates through data-driven matching, and create a more transparent market for shared housing arrangements while maintaining 99.9% system uptime through cloud-native architecture.