DOCS.md

Processing Steps

1. (Optional): For testing purposes you can generate reponses that mimic the structure of the matching form. To do this, run the following command:

python generate_matching_responses.py

Note: The script above requires you to have a list of mentors and mentees in .csv format. You can reference mentee_directory_200.csv for reference

2. Run the following command to process the data:

python preprocessing.py

This will generate a file called processed_data.csv which can be used in the matching algorithm.

Bugs and Potential Issues:

• What if users list the same preference multiple times?
• What if users input a float?
• How can we handle errors without interupting the entire process? Ideally we automatically process as much as possible and then output/highlight errors at the end
• How do we handle a different number of mentors and mentees