Milestones

Milestone 1 (due date 09/25/22)

Deliverables: Project plan, Powerpoint presentation, project report draft, website.

Status: Conducted meetings with Dr. Le once every two weeks to give him update on the project. The goal for Milestone 1 is to merge the dataset from Endomondo with workout data including environment data, this includes data cleaning and preparation. Applications used to operate this project are PyCharm and MongoDB. The data board has been finalized, exported in CSV format, uploaded to Teams, and shared the link with the team and the sponsor. Powerpoint and the draft are in their final stage before the submission day.

The scope and plan for Milestone 2 will be announced by the sponsor once Milestone 1 is completed.

Milestone 2 (due date 10/23/22)

Deliverables: presentation, PowerPoint, formal report, updated project plan, updated project showcase website

Status: Conducted meetings with Dr.Le once every two weeks to give him an update on the project. The goal for Milestone 2 is to create deep learning models which can predict heart rate based on the dataset from milestone 1. Our website has been in progress, formal presentation is being updated as well, and more documents have been included.

Everything is on track to meet the objectives set for Milestone 2.

Final Milestone (due date 11/20/22)

Deliverables: Presentation, peer evaluation, self-reflection, final project report, final project package, and final version of showcase website.

Status: Conducted final presentation with Dr. Le and Professor Privitera. The goal for Milestone 3 is to generate the new data with processing-round2 and tune for the new model in modeling-round2. The architecture of this milestone will perform training and testing data. Then, record the final results. Our website has been updated required documents, PowerPoint slides have been worked on as well.

Everything is ready for the final review before the submission day.