Strategic AI & Machine Learning Application in Mental Health Market
Project scope
Categories
Data analysis Healthcare Machine learning Artificial intelligence Public healthSkills
data collection machine learning mental health artificial intelligenceWe want to leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to strategically apply AI and machine learning in our organization. Through using internal and open-source data and applying analytics models, methodologies, and machine learning tools, we hope to get an end-to-end machine learning solution.
Students should be prepared to:
- Identify and present an opportunity within our organization, which AI could be applied.
- Develop a unique machine learning solution, based on the latest technology.
- Create a report that provides an in-depth overview of the AI solution.
Data Collector Duties and Responsibilities:
- Collect data from internal and external sources
- Compile data into a digestible planogram
- Analyze data
- Present your findings to management
- Ensure that all data is accurate and properly organized
A few areas of specific interest for us include:
- Recommendation engines
- Impact measurement
Students have access to our internal data and infrastructures.
Students can have 1-1 contact to all of our team members.
Since we are a part of a few incubation programs, students have access to the programs' resources.
About the company
Colorful Zone is an innovative startup on a mission to reshape the way we approach mental health.