I'm a high school student interested in artificial intelligence, machine learning, and building technology that helps people think more critically about information.

NeutralEye — AI-Powered Media Framing Analysis

NeutralEye shows readers how a news article frames a story — built as both a Chrome extension and a full web application.

The system analyzes article text across five signals, checked together:

• tone and loaded language
• framing — what's emphasized vs. backgrounded
• attribution of claims
• source balance
• omitted context

Every flagged signal is tied to the exact quoted language that triggered it, so the analysis can be checked against the source. The app also classifies content as news vs. opinion and scores each accordingly.

Built with Next.js, Supabase, and the OpenAI API, with the web app and Chrome extension sharing the same backend.

Live at tryneutraleye.com and on the Chrome Web Store.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• AI-assisted software development

• PyTorch fundamentals
• OpenCV basics
• backend architecture with FastAPI
• improving AI-assisted development workflows

Python
JavaScript
HTML / CSS
FastAPI
Hugging Face Transformers
Git
Chrome Extensions API