Research and development consulting of AI risk early warning technology for field visits by social workers

Project Details

Description

In terms of social work, we will provide professional advice on how to establish an effective risk early warning model to help social workers identify potential dangers or problems early in visits. This may include the use of machine learning and data analysis techniques to identify possible indicators of risk and develop an early warning system to enhance the capacity of social workers in intervention and support. In addition, we will also discuss the application of wound/scar image recognition technology. This technology may help medical professionals or social workers identify wounds or scars on the individual's body through image recognition algorithms. We will provide advice on how to develop such techniques, and how to integrate them into practical applications in social work.
StatusFinished
Effective start/end date31/08/2330/11/23

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

Keywords

  • Risk early warning model
  • Image recognition technology

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.