Bridge Housing Solutions: An AI prediction engine (utilising NLP and contextual scoring) to match social housing properties and reduce the need for temporary accommodation

Bridge Housing Solutions：人工智能预测引擎（利用 NLP 和上下文评分）来匹配社会住房属性并减少临时住宿的需求

• 批准号: 10035267
• 金额: $ 14.48万
• 依托单位: BRIDGE HOUSING SOLUTIONS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10035267
• 关键词: Bridge; Housing; Solutions; AI; prediction

The current 'cost-of-living crisis' along with job losses from the COVID -19 pandemic has increased rent arrears and homelessness across the UK with 274,000 people homeless and ~250,000 of these living in temporary accommodation (84,740 households). However a 2021 Crisis UK study shows that there are currently ~45,000 social housing properties that are currently vacant.The current process for filling these empty homes is vastly time and resource consuming, meaning that despite record homelessness in the UK, a majority of these home remain empty. Local authorities currently can only offer accommodation in the borough where they are an accepted homeless case and nothing else -- meaning if no properties are currently available then service users must move between temporary housing or face homelessness (waiting lists are often over 10 years).Example: A service user is in Brent in Temporary Accommodation and is waiting in a B&B for secure and affordable accommodation. There is a void property in Harrow Council (neighbouring borough) that is vacant as no one from Harrow wanted the property. That property will sit vacant until the council can find someone for it. However, there are thousands of families currently in Temporary Accommodation in London, that would welcome the opportunity to be re-housed into a property in Harrow.There is no current way or process to make these properties available and visible to all service users in the UK. UK councils are in desperate need of a solution to help match service users with available and otherwise empty social homes from outside their borough (either through a neighbouring borough or to another area with strong links such as family).In order to address this critical issue, My Social Housing are developing an app that helps users find their own properties based on their individual criteria, such as location near family, work, school or other factors. The app will contain an AI algorithm to match properties based on app interaction and user preferences, automatically shortlisting suitable properties and notifying users when available. The platform will also be able to store documentation such as tenancies so the process can be fully managed.

当前的“生活成本危机”沿着COVID-19大流行导致的失业增加了英国各地的租金拖欠和无家可归问题，274，000人无家可归，其中约250，000人住在临时住所（84，740户家庭）。然而，2021年英国危机研究显示，目前约有45，000个社会住房物业目前空置。目前填补这些空置房屋的过程非常耗费时间和资源，这意味着尽管英国有创纪录的无家可归者，但这些房屋中的大多数仍然空置。地方当局目前只能在他们是被接受的无家可归者的自治市提供住宿，而没有其他任何东西-这意味着如果目前没有可用的房产，那么服务用户必须在临时住房之间移动，否则将面临无家可归（等待名单通常超过10年）。示例：服务用户在布伦特的临时住宿中等待B&B安全和负担得起的住宿。有一个无效的财产在哈罗理事会（邻近的自治市）是空置的，因为没有人从哈罗想要的财产。该物业将空置，直到理事会可以找到它的人.然而，有数以千计的家庭目前在临时住宿在伦敦，这将欢迎有机会被重新安置到一个属性在哈罗.目前没有方法或流程，使这些属性可用，并在英国的所有服务用户可见.英国议会迫切需要一个解决方案，以帮助匹配服务用户与可用的，否则空的社会家园以外的自治市（通过邻近的自治市或与家庭等紧密联系的另一个地区）。为了解决这个关键问题，My Social Housing正在开发一款应用程序，帮助用户根据个人标准找到自己的房产，例如靠近家庭的位置，工作，学校或其他因素。该应用程序将包含一个AI算法，根据应用程序交互和用户偏好匹配属性，自动筛选合适的属性并在可用时通知用户。该平台还将能够存储租赁等文档，以便对流程进行全面管理。