Apex Quiz Auto-Answer

Highlights Correct Answers in Apex Learning Quiz Menus. Includes Image Support, AI Logic, Auto-Complete, and Keybind Controls

Please star the repository and support my other projects as I work hard to make these tools!!!

Made with ❤ By Payson

Limitations

• 15 Questions per Minute
• 1,500 Questions/API Requests per 24hrs.

Features

• Automatic: Detects new quiz questions and highlights the correct answer
• Vision Support: Analyzes images in questions (diagrams, charts, molecular structures, etc.)
• Image Optimization: Automatically compresses images to 800x800 pixels to save tokens
• Correct Answer Highlighting: Changes answer text to green with bold font weight
• Progress Indicator: Small progress bar shows when processing
• 100% Free: Uses Google's free Gemini API tier (1,500 requests/day)
• Hidden Mode: No visible buttons or notifications

Installation

1. Install a Userscript Manager

   • Tampermonkey (Chrome, Firefox, Edge, Safari)
   • Violentmonkey (Chrome, Firefox)

2. Get a Free Gemini API Key

   • Visit Google AI Studio
   • Sign in with your Google account
   • Click "Create API Key"
   • Copy the key

3. Install the Script

   • Install from Greasyfork
   • Open the script in your userscript manager
   • Replace YOUR_API_KEY_HERE on line 17 with your actual API key (from step 2)
   • Save the script

Usage

1. Navigate to any Apex Learning quiz
2. The script will automatically:
   • Detect new questions
   • Extract text and images
   • Query Gemini AI
   • Highlight the correct answer in green

Manual Trigger

Press Ctrl+Shift+R to manually reprocess the current question.

Configuration

Edit these constants at the top of the script:

You can leave the image configs alone but if you want to use less tokens you can have it downscale the image even more.

const DEBUG_MODE = false;          // Set to true for console logging
const MAX_IMAGE_WIDTH = 800;       // Maximum image width in pixels
const MAX_IMAGE_HEIGHT = 800;      // Maximum image height in pixels
const IMAGE_QUALITY = 0.85;        // JPEG quality (0.0 to 1.0)