SMART QS HACKATHON 2026

(1) Applicants shall submit their applications with documents listed below by email to smartqs@cyberport.hk on or before 14 August 2026.

• A completed Application Form
• A signed Non-Disclosure Agreement (“NDA”)
• A copy of Certificate of Incorporation and Business Registration, or equivalent document (if applicable)
• A copy of student card issued by the Hong Kong local institution, or equivalent document of each team member (if applicable)

An acknowledgement email, including the application reference code, will be sent to the applicant within 5 working days of receiving the completed application.

(2) Applicants must submit the Initial Proposal by email to smartqs@cyberport.hk on or before 21 August 2026.

Application Form	Download >
Guide and Notes for Applicants	Download >
Non-Disclosure Agreement	Download >
Proposal Template & Writing Guide	Download >
Briefing Materials	Download >

Solve QS pain points: Apply data and problem-solving skills to master real-life challenges.

Get Expert Mentorship: Level up your skills with direct feedback and guidance from tech and industry experts.

Expand Your Network: Engage with industry leaders, tech innovators and peers to build high-value professional connections.

Build a Standout Portfolio: Showcase your expertise, build your professional profile, and create a real-world project that validates your strategic and analytical capabilities.

Get FREE GPU resources: Participants can access GPU to accelerate innovation and solution development.

Workshop 1: Construction Contract: Handling of Discrepancies and Ambiguities

Date: 10 Sep 2026 (Thu)
Time: 19:00 – 20:30
Venue: Online (Zoom Webinar)
Audience: Open to all applicant teams (limited seats; priority will be given to shortlisted teams).
Speaker: Sr Jacqueline LEUNG
BSc (Hons), MHKIS, R.P.S.(QS), Accredited NEC4 ECC Project Manager, DBOC & TSC Service Manager
Registration Link (Register by 8 Sep 2026): https://forms.cloud.microsoft/r/59BtkdM5hP

Workshop 2: Mentor-Mentee Meetup + Cyberport GPU Platform Introduction and Hands-on Experience

Date: 15 Sep 2026 (Tue)
Time: 10:00 – 11:30
Venue: Function Room, 3/F, Core E, Cyberport 3
Audience: Shortlisted Teams
Speakers:
Mr Danny Hu, Senior Manager, Corporate Development, Cyberport
Mr Tian Yang, Manager, Corporate Development, Cyberport
Remarks: Participants are required to bring their own laptop

Workshop 3: Technical Consultation

Date: 15 Sep 2026(Tue)
Time: 11:30 – 17:30 (30 mins per consultation session, pre-registration is required)
Venue: ABC Service Centre, 3/F, Core B, Cyberport 3
Audience: Shortlisted Teams
Advisors:
Mr Danny Hu, Senior Manager, Corporate Development, Cyberport
Mr Tian Yang, Manager, Corporate Development, Cyberport

Workshop 4:  AI-Enabled Image Processing and Computer Vision

Date: 16 Sep 2026 (Wed)
Time: 14:30 – 17:30
Venue: KB528, 5/F, Knowles Building, HKU
Audience: Shortlisted Teams
Speaker: Professor Junjie Chen, Assistant Professor, Department of Real Estate and Construction, HKU
Tutor: Dr. Junping Zhong, Post-doctoral Fellow, Department of Real Estate and Construction, HKU
Remarks: Participants are required to bring their own laptop

Workshop 5: From Dumb Points to Smart As-Built Quantities

Date: 24 Sep 2026 (Thu)
Time: 10:00 – 13:00
Venue: KB528, 5/F, Knowles Building, HKU
Audience: Shortlisted Teams
Speaker: Prof. Frank Xue, Associate Head (Research) and Associate Professor, Department of Real Estate and Construction, HKU
Remarks: Participants are required to bring their own laptop

Workshop 6: Basic Principles of Payment Valuation

Date: 9 Oct 2026 (Fri)
Time: 19:00 – 20:30
Venue: Online (Zoom Webinar)
Audience: Open to all applicant teams (limited seats; priority will be given to shortlisted teams).
Speakers:
Sr Rico Wah
BSc (Hons), MHKIS, R.P.S.(QS)
Registration Link (Register by 8 Sep 2026): https://forms.cloud.microsoft/r/59BtkdM5hP

Workshop 7: Train Smarter, Scale Faster: The Playbook for AI Model Training

Date: 13 Oct 2026 (Tue)
Time: 14:30 – 16:00
Venue: ABC Service Centre, 3/F, Core B, Cyberport 3
Audience: Shortlisted Teams

Date: 19 Sep 2026 (Sat)
Time: 9:00 – 12:00
Venue: To be provided to the shortlisted teams for the “Assigned Challenge - Payment Valuation”
Audience: Shortlisted Teams for the “Assigned Challenge - Payment Valuation”

Assigned Challenges

Criteria

Weighting

Problem Understanding & Scope Alignment Demonstrates a clear understanding of the problem statement and QS workflows/pain points. Shows strong alignment with the intended scope, with clearly defined assumptions, deliverables and use cases	30%
Technical Feasibility Presents a practical and robust technical approach (e.g. data inputs, model/architecture, integration and security considerations) that can be delivered within the Programme timeline. Demonstrates the ability to leverage relevant AI tools and AISC computing resources effectively, with a clear implementation plan and risk mitigation measures.	30%
Innovation & Creativity Integrates existing technologies in a unique and innovative manner to improve QS processes, accuracy and/or productivity. Demonstrates differentiated value versus current practices/solutions and potential for scalable adoption or broader application.	25%
Team Structure & Capability Establishes an appropriate team structure with clearly defined roles and relevant competencies. Demonstrates capability and commitment to execute the proposed plan, including collaboration effectiveness and delivery readiness.	15%

Open Challenges

Criteria

Weighting

Relevance & Impact Demonstrates strong relevance to QS industry needs and clear alignment with the Programme objectives/use cases. Articulates expected impact (e.g. efficiency gains, accuracy improvements, risk reduction and/or user experience enhancement) with measurable outcomes where practicable.	30%
Innovation & Creativity Integrates existing technologies in a unique and innovative manner to improve QS processes, accuracy and/or productivity. Demonstrates differentiated value versus current practices/solutions and potential for scalable adoption or broader application.	30%
Technical Feasibility Presents a practical and robust technical approach (e.g. data inputs, model/architecture, integration and security considerations) that can be delivered within the Programme timeline. Demonstrates the ability to leverage relevant AI tools and AISC computing resources effectively, with a clear implementation plan and risk mitigation measures.	25%
Team Structure & Capability Establishes an appropriate team structure with clearly defined roles and relevant competencies. Demonstrates capability and commitment to execute the proposed plan, including collaboration effectiveness and delivery readiness.	15%

The top 3 teams (i.e. Champion, 1st Runner-up and 2nd Runner-up) in each challenge stream will receive cash prizes as set out in the table below, and may also have the opportunity to further develop their solutions with the organisers.

Challenges

Winners

Cash Prize (HK$)

Resources to help you dive into QS — see below for reference.

• The Hong Kong Institute of Surveyors (HKIS)

For any enquiries about the Programme, please email smartqs@cyberport.hk