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Development of Enhanced Real Estate Platform with AI-Powered Property Recommendations
  1. case
  2. Development of Enhanced Real Estate Platform with AI-Powered Property Recommendations

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Development of Enhanced Real Estate Platform with AI-Powered Property Recommendations

globaldev.tech
Real estate

Challenges with Existing Real Estate Platforms

Existing real estate platforms in Dubai suffer from a lack of transparency, inaccurate listings, and a primary focus on property inventory rather than user-centric decision-making. Users struggle to find suitable properties and gain comprehensive community insights, leading to inefficient search processes and potential risks.

About the Client

A technology-driven real estate platform focused on providing users with data-driven insights for smarter property buying and renting decisions in the UAE.

Project Goals

  • Enhance user experience through data visualization and personalized property recommendations.
  • Increase user engagement and platform usage.
  • Improve the accuracy and reliability of property listings.
  • Establish Sakani as the leading real estate platform in Dubai.
  • Drive conversions and facilitate smoother property transactions.

Functional Requirements

  • Advanced property search with detailed filtering options (furnished/unfurnished, amenities, location, price range, etc.).
  • Interactive community profiles with data visualization (vibrancy, sports, healthcare, parks, education, entertainment).
  • AI-powered property recommendation engine suggesting the two most suitable properties based on user preferences.
  • Community comparison tool evaluating communities based on price, walkability, proximity to metro, and infrastructure.
  • Detailed property profiles including images, descriptions, amenities, and agency contact information.
  • Interactive heat map visualization for targeted analysis of search results and community clusters.

Preferred Technologies

Web platform (React, Angular, or Vue.js)
Backend framework (Node.js, Python/Django, or Ruby on Rails)
Database (PostgreSQL or MongoDB)
Mapping library (Leaflet or Mapbox)
Cloud platform (AWS, Azure, or Google Cloud)

Integrations Required

  • Real estate agency APIs for property listing data
  • Payment gateway APIs for secure transactions
  • Mapping APIs for location data

Key Non-Functional Requirements

  • Scalability to handle a large number of users and properties.
  • High performance and fast loading times.
  • Secure data storage and user authentication.
  • Mobile responsiveness for seamless access on all devices.
  • Accessibility compliance (WCAG guidelines).

Expected Business Impact

This project is expected to significantly increase Sakani's market share in Dubai's real estate sector by providing a superior user experience, driving higher user engagement, and facilitating faster property transactions. The AI-powered recommendations and data-driven insights will empower users to make more informed decisions, leading to increased customer satisfaction and loyalty. The platform will position Sakani as an innovator and leader in the real estate technology space.

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