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Welcome to our Design Document!

This project was completed by Alec Loftus, Mohammed Alsawi, Erin Maley, and Rohan Sethi as a part of Dr. Wheeler's COMP383/483 class.

Overview:

Context:

Goals and Non-Goals:

• Primary Goals:
• Create scripts for training and testing a couple of ML models on synthesized protein datasets
• Have documented accuracy reports for various models
• Consider other relevant information that may be nice to have in test data (more of a scientific question/goal than programming)
Non-Goals:
• Deep learning models testing the datasets (would be nice to include for comparison but not essential for success)

Proposed Solution:

Milestones:

Week	Alec Loftus	Mohammed Alsawi	Erin Maley	Rohan Sethi	Deadlines/Events
Week 1 3/13-3/17	Read literature	Begin slide work	Prepare questions for PKH	Read through code files	First group meeting!
Week 2 3/20-3/24	Weekly Milestones table/slides Make Design Document	Implementation Plan slides Assist with Proposed Solution	Introduction Slides Prepare questions for PKH	Implementation Plan slides Assist with Goals & Non-Goals	Meeting w/ PKH Tuesday? Initial Presentation
Week 3 3/27-3/31	Keep Wiki/Milestones updated Work on script to initiate model Make sure everything's pushed by EOD Friday for Repo check	Work on script to assess accuracy	Comment through .jpynb code Prepare presentation Work on script to train model	Work on script to train model	5-min Presentation Repo Check #1
Week 4 4/3-4/7	Test Mohammed's accuracy code	Test Rohan's training code	Test Alec's initializing code	Continue work on training code Update README to include information on the ML models used	EASTER BREAK
Week 5 4/10-4/14	Prepare presentation	Check all code thus far has been commented and pushed	Update wiki/weekly milestones	Train using deep learning models	5-min Presentation Repo Check #2
Week 6 4/17-4/21	*	*	*	*	Cross-team hacking Repo Check #3
Week 7 4/24-4/28	*	*	*	*	Final Presentation
Week 8 5/1-5/5	*	*	*	*	Final App Note Final Project Code turned in