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Context Highlighter: Fast Text Importance Highlighting Chrome Extension

Project Description

This is the Context Highlighting Project for ML@Rice Spring 2025. This project aims to forecast glucose and ketone levels using a dataset that includes continuous glucose monitoring (CGM) readings, daily blood glucose and ketone measurements, and detailed macronutrient intake. Additionally, a major project goal is to gain insight into the relationship between glucose and ketones that can be used to improve medical treatment for individuals with metobolic disorders.

Contents

Setup & Installation

Clone the Repository

git clone https://github.com/yourusername/glucose-ketone-forecasting.git
cd glucose-ketone-forecasting

Usage Instructions

Python Files

  1. Create a Python venv environment

    python -m venv .venv
  2. Activate the environment

    • On Windows:

      .\.venv\Scripts\activate
    • On macOS/Linux:

      source .venv/bin/activate
  3. Install requirements

    pip install -r requirements.txt

Contributors

Team Leads: Ben Allen, Jake Lehrman

Team Members:

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Context Highlighting Project for ML@Rice

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