RFCP Study Tracker

A web-based study tracker for the Robot Framework® Certified Professional (RFCP®) exam preparation. This application helps you track your progress through the RFCP learning objectives, manage your study time, and organize your learning journey.

Features

• Progress Tracking: Visual progress bar and statistics showing completed objectives and study time
• Smart Filtering: Filter objectives by completion status (All/Completed/Unfinished)
• Knowledge Level Filters: Sort objectives by knowledge level (K1/K2/K3)
• Search Functionality: Search through objectives by name or ID
• Time Management: Track estimated study time for each objective
• Persistent Storage: Progress is saved locally in your browser
• Direct Links: Quick access to official RFCP documentation for each objective

Getting Started

1. Clone this repository or download the files
2. Open index.html in your web browser
3. Start tracking your RFCP exam preparation!

How to Use

You can just access the github page: https://sklarow.github.io/grind-rfcp/

Tracking Progress

• Click on any objective card to mark it as completed/uncompleted
• Use the progress bar at the top to monitor your overall progress
• View total completed objectives and estimated study time

Filtering and Searching

• Use the search bar to find specific objectives by name or ID
• Filter objectives using the buttons:
  • All: View all objectives
  • Completed: Show only completed objectives
  • Unfinished: Show remaining objectives
  • K1/K2/K3: Filter by knowledge level

Knowledge Levels

• K1 (Remember): Basic recall questions
• K2 (Understand): Understanding concepts and principles
• K3 (Apply): Practical application of knowledge

Technical Details

• Built with vanilla JavaScript, HTML, and CSS
• No external dependencies required
• Uses LocalStorage for progress persistence
• Responsive design for all devices

Disclaimer

This study tracker is an independent project created solely for educational and personal study purposes. It is not affiliated with, endorsed by, or sponsored by the Robot Framework organization or its certification program.

Credits

• Created by Allan Sklarow
• Inspired by Grind75
• Built for RFCP Study

License

This project is available for use under the MIT License.