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Researchers at Leeds Beckett University have developed an AI tool designed to detect potential mould growth in homes. This innovative technology assesses buildings for dampness and mould risk, providing actionable solutions to mitigate these issues. With government estimates suggesting that up to 6.5 million homes in England could be affected, this tool addresses a significant public health concern.
The AI tool calculates mould risk based on various factors, including building size and energy performance. Currently utilized by small and medium-sized enterprises in the construction sector, the goal is to expand its use to landlords and homeowners. This proactive approach aims to prevent mould-related health hazards, especially in social housing, following tragic incidents linked to mould exposure.
• AI tool predicts mould growth, potentially aiding millions of homes.
• Technology aims to improve housing conditions and prevent health risks.
The AI tool developed assesses buildings for dampness and mould risk.
Predictive analysis is used to calculate the risk of mould based on building data.
Smart meters are intended to automate data collection for mould risk assessment.
Leeds Beckett University is involved in developing AI technology to address mould issues in homes.
BuildEco collaborates with Leeds Beckett University to implement the AI tool in construction.
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