Project Management

2/17/2022 Group formation

1. Narrowed down our all of our potential project ideas to two preliminary concepts: Spotify Discover Weekly Adaptation and Handwriting Translation into Latex.

2/25/2022 Project brainstorm

1. Chose the Handwriting Translation into Latex project idea.

2. Followed up on project deliverables given as feedback to our Project brainstorm assignment:

   1. Created our mini-dataset of characters, numbers and mathematical symbols.

   2. Located and documented a publicly-available character database (EMNIST).

   3. Researched and generated confusion matrices on the EMNIST dataset of various Character Classification techniques in Python's sklearn library.

   4. Derived the overall project architecture for our full-scale implementation.

3/22/2022 Project topic finalized

1. Started team website to document our work and present it as a project deliverable.

2. Started team GitHub as a code-sharing resource between teammates and to interested parties.

3. Experimented with and documented our efforts implementing the LeNet Convolutional Neural Network as a method of Character Classification.

4. Attempted our first draft for Character Isolation.

5. Met with the EECS 351 course Professor and staff for project advice.

   1. Included a feedback loop in our overall architecture between the Character Isolation and Character Classification subsystems.

4/6/2022 Project progress report

1. Reviewed and gave feedback to other project teams' websites.

2. Decided our methods of implementing each individual subsystem: Image Filtering and Processing, Character Isolation, Character Classification, and LaTeX output.

   1. Planned pseudocode to implement the feedback loop into our system.

3. Completed a first draft of our entire model, and performed an initial round of full-scale system testing to study its shortcomings.

4. Prepared and practiced our presentation (included here).

4/14/2022 Presentation

1. Documentation:

   1. Edited GitHub and team website.

   2. Commented code for easier readability.

2. Character Isolation:

   1. Added the feedback loop to our Character Isolation implementation.

   2. Investigated adding a mathematical expression formatting capability.

3. Character Classification:

   1. Added mathematical symbols to the training and testing data for the LeNet CNN using the HASYv2 dataset.

   2. Investigated adding a mathematical expression formatting capability.

4. LaTeX Document Output:

   1. Investigated .tex to .pdf conversion in MATLAB

   2. Investigated adding a mathematical expression formatting capability.

5. Full-Scale Testing:

   1. Linked all subsections together into one system.

   2. Investigated a full sentence classification database.

   3. Studied the overall effectiveness and recorded any faults in the system.

4/27/2022 Final Project Deadline