野狼社区

Buying or selling a home can be one of life鈥檚 biggest financial decisions, yet property valuations are often inconsistent and hard to understand. Now, researchers at The University of 野狼社区 are using artificial intelligence to change that. 

Dr Yishuang Xu and her team have developed an AI system that predicts house prices with over 96% accuracy 鈥� a significant improvement beyond the 70 to 85% accuracy of traditional methods. 

Unlike existing tools, this system also provides confidence intervals, showing not just what a home is worth, but how certain the model is about its estimate. As Dr Xu explains, 鈥渙ur system doesn鈥檛 just give you a number, it tells you how confident to be in that number, and which features are driving the valuation.鈥� 

Their breakthrough comes from combining millions of property transactions across England and Wales, with data on energy performance, local economies and wider market forces. Using advanced machine learning and explainable AI algorithms, their system can reveal the key features driving each valuation 鈥� from sustainability factors to regional economic shifts. 

Its potential applications are far-reaching and could include buyers and sellers getting more realistic price ranges for negotiations, lenders and insurers better assessing risk, and policymakers benefitting from clearer housing market data. As Dr Xu notes, 鈥渢his transparency could transform how people buy homes.鈥�