Page 717 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

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Category Smart home/cities
Technology AI, RPA (Robotic Process Automation), predictive analytics, system integration,
Keywords APIs, e-government, data interoperability, digital identity cities 4.8: Smart home/
Data Availabil- Public / Private (MBRHE internal data, stakeholder APIs, anonymized customer
ity feedback datasets)

Metadata Text (forms, documents), Visual (design templates), Structured (application and
(Type of Data) eligibility data), Temporal (timelines, service stages)

Model Train- AI models were trained using MBRHE historical customer applications, feed-
ing an d back logs, and partner data. Fine-tuning involved supervised learning for
Fine-Tuning eligibility scoring, predictive modeling for urgency detection, and integration
optimization for APIs.
Testbeds or Pilot phase completed with select customers and partners in 2023; full deploy-
Pilot Deploy- ment started in 2024. Stakeholder feedback and usage data continuously
ments enhance the model.

Code Reposi- Not publicly available; proprietary solution developed in collaboration with
tories private tech vendors.

2 Use Case Description

2�1 Description

The Smart Housing Experience is an end-to-end AI-powered digital transformation initiative
led by the Mohammed Bin Rashid Housing Establishment (MBRHE) in Dubai. The initiative
addresses the challenge of fragmented and delayed housing services by offering a unified,
intelligent, and predictive system that connects beneficiaries with land grants, loans,
construction, maintenance, and support services in one seamless journey.

The pipeline begins with document digitalization, followed by automated AI evaluation, and
concludes with citizen interface modules through a digital dashboard and mobile services. This
modular design enables efficient data intake, real-time eligibility assessment, and seamless
interaction with stakeholders and customers.

Main Features:

• Real-time AI-driven service recommendations
• Automated loan and grant approvals within minutes
• Pre-approved housing designs to speed up construction
• End-to-end API integration with Dubai Land Department, DEWA, Dubai Municipality,
Emirates Islamic Bank, and others
• Customer dashboard for service progress, alerts, and communication

AI Models Trained:
• Eligibility Scoring Models: Classify customers based on financial, social, and historical
data
• Urgency Detection Models: Identify priority social cases using sentiment and profile
analytics

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