The RealTech Hackathon 2026

​👉 Registration Form 👈

​Join us for an exciting weekend at the RealTech Hackathon 2026 — where property meets AI and innovation meets impact.

​Powered by PGIM and hosted by UCL’s Centre for Sustainability & RealTech Innovation (CSRI) in collaboration with the UCL Computer Science Society and Scansan, this hackathon brings together ambitious students and early-career professionals to build, predict, and transform the future of real estate technology.

​💡 What’s it about?

​Over one high-energy weekend, participants will design and prototype digital solutions that shape the future of sustainable property, finance, and data-driven living. This is your chance to combine cutting-edge AI with real-world challenges in real estate and ESG.

​⚡ Challenge Tracks

​1️⃣ AI-Powered Property Trend Forecasting
Predict emerging trends and market shifts using advanced AI models.

​2️⃣ Predicting Property Prices with Confidence
Develop robust, data-driven pricing models for real-world applications.

​3️⃣ Visualising & Explaining Predictions for Real Users
Create intuitive, transparent tools that make complex insights accessible.

​Plus: Additional briefs from PGIM exploring data, ESG, and digital finance.

​👥 Who should join?

• ​Students and early-career innovators passionate about AI and real estate

• ​Developers, data scientists, and ML enthusiasts

• ​Designers and UX thinkers ready to make tech human-friendly

• ​Teams of 3–5 members (form or join teams on-site)

​🏆 Prizes & Opportunities

• ​Cash awards and mentorship from industry leaders

• ​Direct access to Scansan’s innovation teams

• ​Showcase your work to potential employers and investors

​📍 When & Where: 31st January - 1st February 2026 | UCL Campus
📝 Register by: 24 January 2026

​The RealTech Hackathon - Registration Form – Fill out form

​🚀 Why attend?

• ​Collaborate with brilliant minds across academia and industry

• ​Learn from experts in AI, sustainability, and property tech

• ​Prototype and pitch your ideas to judges and investors

• ​Shape the next wave of responsible, data-driven real estate innovation