Interns will have an opportunity to work on adding ML capabilities to our Industrial Internet of Things (IIOT) platform, and related toolsets and technology related to HVAC systems. Throughout the project, students will work with faculty mentors and Eco-Enterprise leadership to analyze data and further exploration of data analysis techniques for use in a machine learning application. Students will be responsible for getting up-to-speed on outcomes derived from the previous project completed over the summer. Next, students will be responsible for reviewing and cleaning data to better understand what is feasible to use within a machine learning framework. Lastly, students will be working on researching machine learning techniques that can apply to the data set in order to accomplish outcomes that align with the project goal. The ultimate goal is to help Eco-Enterprise develop machine learning technology that can optimize efficiency within HVAC systems, which are expensive and resource intensive to run.