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Loaded Language Finder

Skills: Javascript, HTML, CSS, Artificial Intelligence
Team Size: 1

Developed a Chrome extension that analyzes user-inputted text for emotionally charged or “loaded” language. The extension returns a revised version of the sentence with neutral language, provides a percentage-based score indicating how loaded the original text is, and offers detailed explanations for each flagged word or phrase.

The project was built with a clear separation between frontend and backend. The frontend provides a responsive user interface for input and feedback, while the backend handles AI processing using LLaMA 3.1 via the Ollama framework. This project strengthened my skills in AI prompting, full-stack integration, and deploying LLMs in real-world applications.

Designed

  • Easy to Understand User Interface for Chrome Extension
  • UX for AI Feedback
  • Real-Time Bias Detection
  • Puzzle Designs

Programmed

  • LLaMA 3.1 Ollama Integration
  • AI Prompting Logic
  • Dynamic UI Rendering Logic

Showcase

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  • This is what the top of the Google Extension looks like.
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  • This is what the bottom of the Google Extension looks like.
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  • This is an example input for the Google Extension.
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  • This is a real response to the aforementioned example input.
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  • You can also select text, right click, then automatically input the text into the extension from the right click menus.