Multiparameters Data Regression, discrete best fit

Hello, I am facing a problem in my master thesis. I don't have a lot of experience with statistical analysis so it is probably easier than what I am thinking.

I have a database of projects codes (1 row = 1 project, no replications). Each column has stored a parameter whom value is ranging from 1 to 5, let's supposed 10 different columns so 10 parameters that characterized each specific project.

At new project insertion stage I evaluate the new project by the same 10 parameters. Then through some statistical magic (here your help!) the algorithm will propose me what project (code or row) in the past has been closer to these 10 parameters.

For what methodology I should looking for?
Thank you very much!!!!
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