I-Corps: Computer Vision-Based Intelligent Service Recommendation System

这个I-Corps项目的更广泛的影响/商业潜力是开发一种计算机视觉技术，旨在连接当地的服务寻求者和服务提供商，以促进物业维护工作。家庭装修、维护和紧急支出比去年增加了近20%，个人平均支出为15，880美元。这项技术旨在使用计算机视觉技术更快地找到本地服务提供商。目前的在线市场每年超过300亿美元，预计还会增长。大多数交易都是离线的，即使有现有的在线市场。这种差异可能会将更多的服务寻求者（如房主）带到基于计算机视觉的人工智能（AI）市场。这个I-Corps项目基于人工智能（AI）和机器学习（ML）解决方案的开发，以更快地识别和连接本地服务寻求者和服务提供商。该技术使用一种算法来识别和匹配来自智能设备中的摄像头的图像或视频所需的服务类型，以及基于图像的服务提供商评论。 使用地理定位技术来找到本地服务专业人员，所提出的技术用于真实的时间的调度优化，以使服务寻求者了解所请求的服务。基于自然语言处理的语言翻译将用于在服务寻求者和服务提供者之间建立沟通渠道。该技术的目标是创建一个高度可扩展的平台，通过基于计算机视觉的推荐系统，可以更快地连接当地的服务专业人员，以促进家庭维修项目。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial potential of this I-Corps project is the development of a computer vision technology that aims to connect local service seekers and service providers to facilitate property maintenance work. Home improvement, maintenance and emergency spending increased by nearly 20% from last year, with individuals spending an average of $15,880. The proposed technology is designed to find local service providers faster using computer vision technology. The current online marketplace is more than $30 billion dollars annually and is projected to grow. Most of the transactions are offline even though there are existing online marketplaces. This difference may bring more service seekers like homeowners to the computer vision-based artificial intelligence (AI) marketplace.This I-Corps project is based on the development of artificial intelligence (AI) and machine learning (ML) solutions to identify and connect local service seekers and service providers more rapidly. The technology uses an algorithm to recognize and match the type of service needed from an image or video from a camera in a smart device and image-based service provider reviews. Using geolocation technology to find local service professionals, the proposed technology is used for schedule optimization in real time to keep service seekers informed about the requested service. Natural language processing-based language translation will be used to establish a communication channel between service seekers and service providers. The goal of the proposed technology is to create a highly scalable platform that may connect local service professionals faster using a computer vision-based recommendation system to facilitate home repair projects.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.