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Browse project ideas by Polygence mentors
Create a global app in multiple languages to detect deep fakes cyberattacks in real time
Deep fakes attacks are quite common in today's digital world. Its affecting safety of personal ecosystem at all levels including finances, health, infrastructure and lives. A deep fake detection app in real time can help people be more attentive against deep fake attacks
Computer Science, Organizational Leadership
Stellar Architects: Modeling the Life Cycles of Stars
Have you ever wondered about how astronomers study the life cycles of stars? In this project, you will learn how properties of the star (like its size, mass, chemical makeup) affect how a star ages and behaves with time. Using the stellar evolution code on this website (https://docs.mesastar.org/en/latest/#), you have a whole laboratory for creating all kinds of stars that exist in our universe. You will define the initial characteristics of your stars (e.g., mass, chemical makeup) and then use the code to simulate their evolution over millions or billions of years. You can then experiment by creating different stellar models—for example, by varying the initial mass or the chemical makeup—and compare how these changes affect their brightness, temperature, size, and ultimate fate. This involves analyzing the rich data output from the code to plot evolutionary tracks and understand the underlying physics, which you will accomplish using either the Python, R, or Julia programming languages, depending on your background and interest. All of this information and data about how different stellar properties dictate their evolutionary pathways and final states will be synthesized in a research paper. That will be your opportunity to demonstrate your knowledge and develop skills that researchers use to convey their own findings.
Math, Physics
Developing a Quantum Game
In this project, a student will learn about classical game theory, simple quantum mechanics, and how those can be combined into a quantum game theory. Students will explore the mechanics and implications of quantum games, and the skills to both create such a game and analyze the results of it, including on how to develop an optimal strategy. The student would develop either a review of a game, or an original quantum game and simulate playing it, describing in detail the strategy, payouts, and how this information can be used in the greater body of research and potentially in development in quantum algorithms.
Physics
The Link Between Sleep Deprivation and Academic Performance in Teenagers
We will review clinical and public health literature on how lack of sleep affects cognitive performance, attention, mood, and GPA in high school students. Then I will guide you through the process of organizing this information, translating it into a written manuscript, polishing it into a piece worth of being published, and then submitting to local and national conferences.
Surgery, Neuroscience, Medicine
“How Does Brain Structure Change with Age?”
Using the publicly available Human Connectome Project (HCP) Lifespan or OpenNeuro dataset, you will explore how brain regions change with age. We can examine metrics like brain volume, cortical thickness, or white matter integrity across age groups using preprocessed datasets and create concrete conclusions from our analysis.
Surgery, Neuroscience, Medicine
Financial Effects of the COVID-19 Pandemic
The COVID-19 pandemic substantially affected the US economy. Recovery and relief efforts helped support the US economy during and after the pandemic. However, workers in low-wage jobs (disportionately women and people of color) experienced massive layoffs and may not have recovered. The General Social Survey, an annual nationally representative survey conducted by the National Opinion Research Center at the University of Chicago, asked respondents about their financial circumstances in 2022 compared to before the pandemic: "Thinking about the income of your household before the COVID-19 pandemic compared with now, would you say it has increased, decreased or stayed about the same?’. This study would assess the proportion of respondents who reported decreased income, both overall and by population sub-group. This study is very publishable as it focuses on the financial consequences of COVID.
Public Health, Statistics, Medicine
Food Insecurity in the US
Nationally, approximately 13% of households were food insecure. These households were uncertain of having or unable to acquire enough food to meet the needs of all their members because they had insufficient money or other resources for food. Among children, approximately one in five experienced food insecurity. The Current Population Survey, an annual nationally representative survey conducted by the US Census, ascertains the food security status of the children in the household in the past 30 days based on 8 child food security food security questions. This study would calculate the prevalence and correlates of food insecurity and its constituent components. This study is very publishable as it focuses on children and a widening gap in social safety net services.
Public Health, Statistics, Medicine
Predicting Orchid Offspring
Taking a page out of Gregor Medel's book, this project includes comparing differential expression of genes of different genus of orchids and relating them to appearance to build a model to predict offspring of orchid crosses.
Cancer
Designing and Analyzing a Prototype for a Mobility Solution
In this project, you’ll brainstorm and design a new gadget or tool that solves a mobility problem, such as helping the elderly or bed-bound individuals get up from bed. You’ll create a simple prototype and use tools to simulate its performance and evaluate its effectiveness. This could involve collecting data on how well your design works through simulations, testing different versions, and using coding to refine and improve the design. You’ll gain hands-on experience in design, prototyping, and using technology to simulate and analyze real-world solutions.
Statistics
Smart Health App Development: Integrating Machine Learning for Personalized Healthcare
For our research project at the intersection of app development, healthcare, and machine learning, we will design and prototype a mobile application that leverages machine learning to analyze user-inputted health data and provide personalized health insights. We will use Python as our primary programming language, utilizing libraries such as Pandas and NumPy for data manipulation and numerical analysis, Scikit-learn for building and evaluating machine learning models, and TensorFlow or Keras for deep learning tasks. For data visualization and presenting trends to users, we will incorporate Matplotlib and Seaborn. To develop the app’s backend and APIs, we will consider frameworks like Flask or Django, which are well-suited for healthcare applications due to their scalability, security features, and ease of integration with machine learning workflows. By combining these tools, we aim to create an accessible and intelligent digital health solution that empowers individuals to monitor and manage their health more effectively. Result of this project can also be presented to a Science Fair, Competition or as a research article.
AI/ML
