Student: Wylie Frydrychowicz
Mentor: Dr. Praveen Madiraju
Project Description:
Veterans can have a hard time returning to civilized life. They can end up in various crises such as police contact, arrest, hospitalization, relapse, or angry outbursts. We want to help the veterans by predicting if they will be in crisis.
Project Goal:
Using data we collect from mobile applications that we built and continue to build, we want to create a machine learning algorithm that uses NLP (Natural Language Processing) to predict crisis events in veterans.
Milestones:
| Week
|
Description
|
| Week 1: Orientation
|
- Meet with REU students and mentors
- Learn about introductory data science topics
- Meet with my mentor to talk about the project
|
| Week 2: Android/iOS programming
|
- Continue programming feedback activity (Android)
- Continue programming serverside feedback activity (Php, mysql)
- Start programming feedback activity (iOS)
- TBD: Collect data from apps
|
| Week 3: Group Messaging
|
- Read articles about implementing a group messaging system
- Find best practices for implementing one
- TBD: Collect data from the system
|
| Week 4: Natural Language Processing
|
- Read articles about NLP
- Find best practices for implementing one
- Practice implementing NLP with a kaggle dataset
|
| Week 5: TBD - Collect data
|
- Hopefully have veterans use apps to get data
- Will update wiki when I know we'll have veterans
|
| Week 6: TBD - Extract data
|
- Implement PHP/python script to export data into Excel or Csv file
|
| Week 7: NLP on Data
|
- Using the data, create a ML alg that uses NLP
- Use survey data, feedback data, and group message data
|
| Week 8: Research Paper
|
- Plan to work on the paper throughout the whole summer, but this week will be used for writing the majority of my paper and refining it since I will have my data and ML alg output
|
| Week 9: Poster
|
- Create poster by taking info from paper
|
| Week 10: Finale
|
- Finish up critiquing paper/poster
- Present poster
|
