Top 5 AI and Finance Projects High School Students Can Build to Enhance College Applications

BetterMind Labs
Sep 2
4 min read

Updated: Sep 3

Introduction : Why AI + Finance Is the Future?

Imagine you’re sitting in a college admissions interview, and the officer asks about your passion project. Instead of listing generic clubs or “volunteer hours,” you confidently explain how you built an AI model that predicts stock price movements or a fraud detection system that saves people from scams.

That’s the kind of project that makes schools lean in.

As a high school counselor, I’ve seen students who blend artificial intelligence (AI) with finance not only stand out in applications but also gain a head start in one of the most lucrative and fast-evolving industries. Finance is no longer about calculators and spreadsheets it’s about algorithms, data-driven insights, and real-time decision-making. And AI is the engine powering it all.

In this blog, I’ll walk you through the top 5 AI and finance projects for high school students projects that are:

Feasible to start at home with free tools and datasets.
Highly relevant to daily life and the finance sector.
Impressive for college applications and resumes.

I’ll also share real student case studies including one who created a CFO Assistant AI now being looked at by real companies.

1. Stock Price Prediction Using Machine Learning

Colorful financial chart with upward trends, stock numbers, and bar graphs overlay a digital screen, creating a dynamic and optimistic mood.

What It Is

This project involves using machine learning models to predict stock prices based on historical data. By analyzing trends, patterns, and market sentiment, students can attempt to forecast short-term or long-term movements.

Skills You’ll Build

Python coding with libraries like TensorFlow, Keras, or Scikit-learn.
Data preprocessing and visualization.
Time-series analysis (ARIMA, LSTM).

Real-World Application

Predicting the stock market is at the heart of algorithmic trading, an industry where AI makes split-second buy/sell decisions. While your project won’t beat Wall Street, it’s a fantastic introduction to applied AI in finance.

Explore this detailed tutorial on Stock Price Prediction Using Machine Learning.

2. Credit Card Fraud Detection System

Cartoon thief in black attire carries a large red credit card, showing numbers and "CARDHOLDER NAME." Action lines suggest motion.

What It Is

With billions of digital transactions daily, fraud detection is one of the most important areas in finance. In this project, you’ll train an AI model to classify whether a transaction is fraudulent or genuine.

Skills You’ll Build

Classification models (Random Forest, XGBoost, Neural Networks).
Handling imbalanced datasets (fraud cases are rare, making training tricky).
Real-world model evaluation with precision/recall and ROC curves.

Real-World Application

Financial institutions spend billions on preventing fraud. Building your own system shows you understand cybersecurity, ethics, and risk management in finance.

You can find similar projects like Credit Card Fraud Detection System.

3. Sentiment Analysis for Stock Market Prediction

Line graph showing positive (green) and negative (red) sentiment trends in January. Peaks around 11th and 31st Jan. Labels: Days, Weeks, Months.

What It Is

Instead of just analyzing numbers, this project looks at human emotion. By scraping news headlines, tweets, or Reddit discussions, you’ll train a model to predict how public sentiment affects stock performance.

Skills You’ll Build

Natural Language Processing (NLP) with tools like NLTK or Hugging Face.
Text preprocessing (tokenization, stemming, removing stop words).
Building predictive models with sentiment scores.

Real-World Application

Hedge funds already use sentiment analysis to trade. For instance, viral events like the GameStop stock surge were fueled by online communities. Your project connects AI with social psychology and finance.

some the students who have created similar project like Sentiment Analysis for Stock Market Prediction

4. AI-Powered Credit Scoring Model

Credit score gauge with needle pointing to "Fair" in yellow. Ranges: Very Poor 300-499 in red to Excellent 781-850 in green.

What It Is

Traditional credit scores (like FICO) can be limiting. This project builds an AI model that looks at alternative data (e.g., spending patterns, mobile payments, online behavior) to assess creditworthiness.

Skills You’ll Build

Data collection from open financial datasets.
Logistic regression and advanced neural networks.
Ethical considerations around bias in AI models.

Real-World Application

Companies are actively exploring AI-based credit scoring to make lending more fair and inclusive. Your model could show how to improve financial access for underserved populations.

What skills are require to creat a financial inclusion projects.

5. Robo-Advisor Portfolio Optimization

Robot in center with text bubble, surrounded by features of a Robo-Advisor Platform in purple: Automatic Rebalancing, Diversification, etc.

What It Is

A robo-advisor is an AI system that provides personalized investment advice. Your project can simulate one by taking a dataset of stock returns and using algorithms to recommend the best portfolio mix based on risk tolerance.

Skills You’ll Build

Portfolio theory (Modern Portfolio Theory, Sharpe Ratio).
Optimization algorithms (Genetic Algorithms, Reinforcement Learning).
Interactive dashboards with Python (Streamlit, Dash).

Real-World Application

Robo-advisors like Wealthfront and Betterment already manage billions. Your version won’t handle client money, but it will teach you how AI shapes personal finance.

Quick Comparison Table

Project	Core AI Technique	Finance Application	Real-Life Value
Stock Price Prediction	Machine Learning (LSTM, ARIMA)	Market Forecasting	Intro to algorithmic trading
Fraud Detection System	Classification Models	Cybersecurity & Banking	Prevents digital scams
Sentiment Analysis	NLP (Text Mining)	Market Psychology	Tracks social-driven stock surges
Credit Scoring	Logistic Regression, Neural Nets	Lending & Credit	Promotes financial inclusion
Robo-Advisor	Optimization & Reinforcement Learning	Investment Planning	Shapes the future of wealth management

Case Study: Ronny Vinoth Jefferson’s CFO Assistant

Managing a company’s finances requires precision, insight, and speed. Ronny developed the CFO Assistant, an AI-powered financial advisor designed to simulate the expertise of a seasoned CFO.

What It Does

Analyzes financial data to identify risks and opportunities.
Provides strategic recommendations for budgeting, forecasting, and investments.
Streamlines executive decision-making with fast, accurate insights.

From startups to enterprises, Ronny’s CFO Assistant is a glimpse into the future of financial leadership.

Why BetterMind Labs Matters

If you’re excited about building projects like these but don’t know where to start, that’s where BetterMind Labs comes in.

They provide small-group mentorship from AI/ML professionals.
You’ll work on real-world projects (cybersecurity, healthcare, finance).
You’ll walk away with industry-recognized certification and portfolio-ready projects.

It’s not just about learning the theory it’s about building projects that matter.

Conclusion: Standing Out With AI and Finance Projects

AI and finance are two of the most powerful forces shaping our world. By tackling projects like stock prediction, fraud detection, or robo-advisors, you’re not just doing “school projects”—you’re solving real-world problems that banks, hedge funds, and tech companies face every day.

And here’s the best part: you don’t need to wait until college. With free datasets, open-source tools, and mentorship from platforms like BetterMind Labs, you can start today.

Your future in AI and finance might begin with a single experiment, but it could end up shaping your career, your college application, and even the world of money itself.