We aim at developing an eye drop adherence monitor that will fit any bottle, accurately record when patients take medication, and have the ability to transfer data to physicians via a wireless network. Upon completion, our eye drop adherence monitor will help patients abide by their treatment plan with timely reminders, and it will allow physicians to see how well their patients are adhering to medication regimens and accurately determine if prescribed medications are acting effectively. This project has the potential to help reduce blindness caused by diseases such as glaucoma. 

Outcomes

Skills needed across the team:
Application development frameworks
Data visualization tools and techniques
Knowledge of smoothing and moving averages
Interest and ability to learn new digital technologies
Utilizing and creating RESTful APIs
Languages / tools:
Python, Java, MATLAB, Tableau

Skills students would develop:
Understanding of assertive technologies for the visually impaired
Multimodal data processing
Algorithm design
Context-awareness issues in mobile platforms
Unsupervised learning
Android programming
Design considerations and tradeoffs
Design thinking

Team Meeting Times: Thursdays 1:30 pm-5:30 pm