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Browse project ideas by Polygence mentors
AI for Civic Discourse: Analyzing Political Bias in Language Models
I specialize in AI ethics, language models, and the social impacts of emerging technologies. I can help students explore how AI systems shape public conversation, political understanding, and trust in information. In this project, the student will examine whether AI chatbots (like ChatGPT, Claude, or Gemini) express subtle political biases when answering sensitive or controversial questions. They’ll learn how to design fair prompts, define an evaluation rubric (e.g., tone, framing, omission of context), and analyze responses across different models or prompt variations. The student will gather data by testing multiple AI systems with politically charged or value-laden prompts. They’ll organize and code the outputs using spreadsheets or Python tools, and reflect on patterns they observe—like ideological leanings, hesitations, or overconfidence. The final outcome could be a research paper, an annotated dataset with visualizations, or a blog post explaining the implications of AI bias in civic life. This project is great for students interested in politics, journalism, computer science, or the future of public dialogue in the age of AI.
AI/ML, Computer Science
Designing Ethical AI Systems: A Case Study and Redesign Project
My background is in AI ethics, human-computer interaction, and responsible technology design. I help students think critically about how AI systems shape our lives—and how we might redesign them to align with human values like fairness, transparency, and well-being. In this project, the student will explore the inner workings and social impacts of a real-world AI system—such as facial recognition in public spaces, TikTok’s recommendation algorithm, or predictive policing tools. They’ll learn how to research technical systems, identify harms (like bias, addiction, or surveillance), and evaluate existing critiques from journalism, academia, and public discourse. The student will gather information through articles, academic papers, videos, and interviews with peers or users. They’ll map out how the system works, who it affects most, and what values are embedded in its design. The final product could be a visual redesign (using Figma, Canva, etc.), a mock policy brief, or a white paper that proposes improvements—such as algorithmic transparency, consent mechanisms, or more inclusive data practices. This project is ideal for students interested in tech ethics, design justice, or making AI safer and more equitable.
AI/ML, Computer Science
Designing a Mental Health Reflection App with AI
I work at the intersection of AI, design, and human-computer interaction. I can help students explore how AI can support mental health, self-reflection, and well-being—while also examining the tradeoffs around privacy and emotional dependency. In this project, the student will learn foundational UX and product design skills, including wireframing, user research, and design critique. They’ll also be introduced to basic natural language processing concepts (like sentiment analysis) and ethical considerations in mental health technology. The student will begin by identifying a target user (e.g., teens managing stress or students tracking moods), then sketch or prototype a journaling app that uses AI to generate reflective prompts or feedback. Through research and interviews, they’ll examine key questions: How do we keep user data private? When should AI offer support vs. stay silent? Possible outcomes include app wireframes, a design case study, or a low-code prototype using tools like Figma or React Native. This project is ideal for students interested in psychology, ethics, wellness, and the future of emotionally intelligent AI.
AI/ML, Computer Science
Bot or Not? Detecting Malicious Web Traffic
Learn how websites differentiate between human visitors and bots. Use tools like Selenium to simulate browsing behavior and compare that against patterns flagged by popular bot detection services. Optionally, train a machine learning model to classify traffic logs as human or bot. This project offers insight into security at scale, AI, and web behavior analysis.
AI/ML, Computer Science
Phishing for Clues: Analyzing Scam Emails with AI
Explore how phishing attacks trick users and use machine learning to automatically detect malicious messages. Collect a dataset of phishing and legitimate emails, train a basic classifier (like a decision tree or logistic regression), and evaluate its accuracy. Bonus: Create a simple browser extension that flags suspicious messages. This project blends security awareness with applied machine learning.
AI/ML, Computer Science
What Happens Inside a Tooth? Understanding Root Canals and Pulp Health
This project introduces students to the fascinating field of endodontics—the branch of dentistry that focuses on the inside of the tooth. Students will learn about the anatomy of the pulp, what causes tooth infections, and why root canal treatments are necessary. The project can include a literature review on how bacteria affect the pulp, case examples of root canal procedures, and even creative components like 3D tooth models or digital illustrations showing step-by-step treatment. It can also explore myths and misconceptions about root canals and compare modern techniques with historical ones.
Dentistry
Public Water Fluoridation: A Public Health Success or Controversy?
Students will investigate the science behind fluoride in drinking water, how it helps prevent tooth decay, and why it remains a public health debate in some communities. This project includes reviewing scientific evidence, policy discussions, and ethical perspectives on population-based health interventions.
Dentistry
Build Your Own Flappy Bird-Style Game
What We’ll Explore Together: I can help you explore the world of game development using Unity, a popular tool used by both indie creators and professional studios. We’ll focus on how simple mechanics, like tapping to fly or dodging obstacles, can create surprisingly addictive games. You’ll also learn how design choices affect the player’s experience. What You’ll Learn: You’ll learn the basics of Unity, including how to set up a 2D game world, control a character using simple physics, and add obstacles that challenge the player. You’ll use C# to code game mechanics like gravity, jumping, and collision detection. You’ll also learn how to design levels, add sound effects, and keep score. How You’ll Do It: You’ll start by researching how Flappy Bird works and what makes it fun. Then, you’ll follow beginner tutorials to build your own version using Unity. Once the core game is working, you can customize it—maybe your character isn’t a bird but a rocket or a balloon, and your obstacles aren’t pipes but lasers or clouds. You’ll learn how to test, debug, and polish your game along the way. What You’ll Create: By the end, you’ll have a working 2D game you built from scratch. It might be a faithful remake of Flappy Bird, or your own creative twist on it. You’ll be able to share your game with others and reflect on what it’s like to design something fun, playable, and rewarding.
Animation
Smart Fridge Buddy
What We’ll Explore Together: I can help you dive into the world of computer vision and simple machine learning. That means teaching a computer to “see” and make decisions. We’ll explore how technology can help solve everyday problems, like figuring out what to cook using ingredients you already have at home. What You’ll Learn: You’ll learn how to train a computer to recognize different food items using pictures you take yourself. We’ll use beginner-friendly tools like Python libraries such as OpenCV. You’ll also think about how people actually use tools like this, and what makes apps helpful, fun, or frustrating. How You’ll Do It: You’ll start by researching how image recognition works and look at other apps that do similar things. Then, you’ll gather photos from your own fridge to teach your program what each item looks like. Once your tool can recognize the food, you’ll connect it to a list of recipes and have it suggest meals based on what it sees. What You’ll Create: By the end, you’ll have a prototype of your “Smart Fridge Buddy.” This could be a simple app, a set of designs or mockups, or even a working demo that shows how it recognizes food and suggests recipes. It’s a creative, practical project that brings together technology and everyday life in a fun and useful way.
Animation
Design a marketing campaign for a cause you care about
Have an issue you’re passionate about? In this project, you’ll create a campaign to raise awareness or inspire action. You’ll learn how marketers craft messages, choose the right audience, and design creative content. Your final product might include a campaign brief, sample ads or social posts, and a plan for sharing your message.
Psychology
