Developing BuildMapper's Core Infrastructure through the Implementation of Machine Learning Algorithms

通过实施机器学习算法开发BuildMapper的核心基础设施

• 批准号: 544648-2019
• 负责人: Orban, Levente
• 金额: $ 1.82万
• 依托单位: Kwantlen Polytechnic University
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 1
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=680463
• 关键词: Developing; BuildMapper; Core; Infrastructure; through

BuildMapper is a Canadian Technology Start-up that mines publicly accessible data from Canadian municipalities relating to real estate development projects and extracts and repackages useful information before making it available to the trades sector, developers and home owners. BuildMapper monitors and identifies the status of residential construction projects and offers this information to users. The aim of this Engage project was to automate the acquisition of business intelligence information.

BuildMapper是一家加拿大科技初创公司，从加拿大市政当局挖掘与房地产开发项目相关的公开可访问数据，并提取和重新打包有用的信息，然后将其提供给贸易部门、开发商和房屋所有者。BuildMapper监控和识别住宅建设项目的状态，并将此信息提供给用户。该Engage项目的目标是自动获取商业智能信息。