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Browse project ideas by Polygence mentors
Predicting Diabetes Risk from Health Indicators
In this project, you will explore machine learning and data analysis by building a model to predict diabetes risk using a public dataset such as the CDC Diabetes Health Indicators dataset. You can analyze features like age, BMI, physical activity, blood pressure, cholesterol, smoking history, and general health ratings. You will learn how to clean data, create visualizations, train a predictive model, evaluate performance, and discuss limitations around fairness, privacy, and real world medical use. The final outcome could be a Jupyter notebook, research paper, or presentation with charts and model results.
AI/ML, Statistics
Evaluating AI Answers for SAT or AP Questions
In this project, you will explore applied AI by testing how well AI tools answer a set of SAT style reading questions or AP practice questions. You will gather 30–50 public practice questions, prompt an AI system to answer them, and compare the responses against answer keys and explanations. Students will learn about prompt design, accuracy scoring, hallucinations, and how to evaluate AI systems beyond whether an answer “sounds right.” The final outcome could be an evaluation report, comparison analysis, or testing framework.
AI/ML, Statistics
Building a Campus Club Event Finder
In this project, you will explore software engineering and product design by creating a web app that helps students find events from different campus clubs in one place. You could gather sample event data from public club websites, Instagram posts, or a manually created spreadsheet with fields like event name, date, location, category, and RSVP link. You will learn how to define a real user problem, design a simple interface, organize data, and build features such as search, filters, and saved events. The final outcome could be a working prototype, or technical write up.
AI/ML, Statistics
Developing simulations of quantum hardware
In this project, you will develop code to simulate simple quantum control (e.g., single and two-qubit gates) on realistic models of quantum hardware (e.g., spin qubits in semiconductors or superconducting qubits in circuits). You will learn how to represent quantum states in physical systems realizing qubits, as well as how to model the physical operations that realize quantum gates. Time permitting, we can pursue more advanced topics such as including noise, finding novel gate protocols, or simulating more complicated operations (such as small error correcting codes).
AI/ML, Physics
Acupuncture and Women's Health
Acupuncture benefits have largely been anecdotal evidence and continues to be a part of healthcare for many patients, especially the female population. What does the literature show us about impact on women's health conditions?
Psychiatry, Neuroscience, Biology, Psychology
Immigration Policy Then vs. Now
Students will learn how immigration policies in the United States have evolved over time, the reasons behind major policy changes, and how these laws affect different groups of people. To gather information, students will research at least two historical immigration policies—such as past versus current laws—using textbooks, government websites, and other credible online sources. They will compare the goals, effects, and public reactions associated with each policy. As a result of this project, students may produce a compare-and-contrast essay, create a timeline poster or infographic, or scientific research paper.
Social
Piracy and Early American Institutions
Pirate gold funded a number of important institutions in early colonial America. One example is Trinity Church in NYC, which was funded by William Kidd and smuggled pirate gold. Another example is the College of William and Mary--which is also where several pirates were publicly executed. Why did the US demonize the reputation of pirates, after taking money to fund their institutions of higher learning and religious institutions? Why do we have certain images of pirates that might not align with the historical reality? Why would pirates care to fund religious institutions? What does this tell us about Early America? What does this tell us about pirates?
Philosophy, Literature
What can electrophysiological biomarkers tell us about brain state?
Electrophysiological measurements have allowed us to gain insight into brain function and information processing. In this project, we will explore how these signals reflect brain states and how they can provide insight into disease conditions. We will examine methods for interpreting electrophysiological data, identify key neural signatures, and review current discoveries in biomarkers associated with neurological disorders. This research could lead to a paper or to a presentation depending on the student's preference.
Neuroscience, Biology
How Does a Cancer Diagnosis Impact Mental Health?
This project explores the emotional and psychological impact of receiving a cancer diagnosis. Students can investigate questions such as: How does a cancer diagnosis affect anxiety, depression, or quality of life? What factors (e.g., social support, access to care) may influence mental health outcomes in patients? Students will learn how to develop a research question, read and interpret scientific literature, and understand key concepts in public health and psychology. They will gather information primarily through a literature review and may also explore publicly available datasets or case studies to better understand patient experiences. By the end of the project, students can produce a scientific research paper, a presentation, or a creative product such as an infographic or awareness campaign. This project helps students build skills in critical thinking, empathy in research, and science communication, while exploring an important topic at the intersection of mental health and chronic illness.
Public Health, Neuroscience
Analyzing Microplastic or Water Quality Data from Public Databases
The student would pull open-source environmental data from databases like the EPA's Water Quality Portal or NOAA's Marine Debris dataset and use Google Sheets or Python to find patterns, like whether contamination correlates with urban density or seasonal changes. Climate and pollution are consistently top concerns for Gen Z, making this a natural fit.
Biology
