Noah Kim

Building a non-profit to support high-school students navigate the decision to attend college

Started May 5, 2026

Abstract or project description

Noah is building a non-profit for his Polygence project, which will include drafting content, setting up a website, and bringing together volunteers to implement the mission of the non-profit.

Predicting a job's vulnerability to AI via a ML approach

Started Jan. 8, 2026

Abstract or project description

What is our project about?

Our project is about creating an AI bot that determines “Will AI take my dream job?”

What is the purpose of the bot?

It’s no secret that AI is the future and will be used in places like the work force. People who are uneducated on this topic can learn if their dream job is at stake and what similar jobs are less likely to be replaced. This can help people not spend meaningless money or spend relentless hours working hard just for the job to be replaced by a robot.

How will we build the bot?

We’ll use Python and various libraries to train a dataset to make an NLP model that can read a job description and assess its vulnerability.

Who will use the bot?

Can be used by graduating students (college or highschool). It can be used by high school students who are trying to discover what they want to be when they grow up. Can be used by even companies to see what jobs can be replaced in the future. It can be used by current workers who are maybe in fear of their jobs being replaced and searching for a new one. This bot can be used for people who are bored and want to see what jobs are at risk. This bot can be used by anyone.

What will our final deliverables be?

First create the bot, then create a paper that talks about the logistics of the bot and how it can help people. In the paper we can talk about the rise of AI and how scary it will be in the future.

Calculating A Formula for Determining Baseball Player Worth

Started Sept. 12, 2025

Abstract or project description

Takeaways from Data Collection and Experimentation When trying to find a single formula to predict player salaries, it is useful to separate players into superstars, whose value is mainly determined by brand deals and market size, from non-superstars, whose value is largely determined by on-field performance. For superstars, brandindex is the unique driving factor. For non superstars, WAR is the unique driving factor. The biggest predictor across both fields is contract leverage, meaning that a player’s ability to access the open market is the single biggest determinant of how much they will get paid. Age behaves like a bell curve - younger players and older players are lower value, mid to late 20s players have the highest value.