Max-Eee/NeoPass
NeoPass
NeoPass is a specialized toolset designed to circumvent proctored exam environments. It functions as an AI-powered exam assistant and automated solver that helps users find answers to multiple-choice and coding questions during monitored tests.
The project distinguishes itself through a browser-based bypass system that neutralizes portal restrictions. It disables tab-switching detection, overrides clipboard restrictions to enable copying and pasting, and employs a human-like typing simulator to input code letter by letter to avoid detection by automated monitoring systems.
The software provides a comprehensive suite of capabilities for online exam assistance, including a stealthy AI chat overlay for real-time guidance and automated systems for selecting correct answers or inserting code solutions. It also manages browser constraints by modifying the Page Visibility API and using DOM injection to provide tools without changing the URL.
Features
- Browser-Integrated AI Workflows - Integrates AI workflows directly into the browser to solve multiple-choice and coding questions during active sessions.
- Exam Circumvention Tools - Provides a comprehensive toolset to bypass proctored exam restrictions and enable unauthorized access to external resources.
- AI Chat Interfaces - Provides a conversational interface that interacts with the current page content to provide real-time exam guidance.
- Input Event Simulators - Mimics human keyboard input through discrete key events to bypass automated bot detection.
- Human-Mimetic Input Simulations - Types coding solutions letter by letter to mimic human behavior and evade monitoring detection.
- Exam Assistance Tools - Uses AI to find answers and solve coding problems while taking tests on restricted educational portals.
- Browser Environment Bypasses - Disables blocks on copy-pasting, tab switching, and extension installation within monitored web environments.
- Clipboard Restriction Bypasses - Overrides browser event listeners to restore copy-paste functionality in restricted proctored environments.
- Web Portal Security Bypasses - Neutralizes tab-switching detection and disables exam shield limitations to maintain access to external resources.
- Page Visibility Spoofers - Modifies the Page Visibility API to trick proctoring software into believing the tab remains active.
- AI Interface Overlays - Implements a stealthy browser overlay for accessing AI assistants without navigating away from the exam page.
- AI Chat Assistants - Provides an integrated AI chat overlay for solving multiple-choice and coding questions.
- Contextual Query Integrations - Enables sending selected exam text directly to an AI for immediate guidance and answers.
- AI-Powered Educational Assistants - Provides real-time AI guidance and chatbot interfaces via a stealthy overlay during timed tests.
- Input Automation - Automates the insertion of code and selection of answers to mimic human input.
- Automated Answer Selectors - Automatically selects the correct multiple-choice option or inserts solution code into exam portals.
- Instant Solution Injectors - Retrieves and inserts instant solutions for programming problems on competitive coding platforms.
- Automated Response Systems - Automatically selects options and inserts code solutions into restricted exam portals.
- Automated Solving Systems - Automatically selects correct answers and inserts code solutions into restricted exam input fields.
- Browser Constraint Bypasses - Prevents exam portals from blocking the installation of extensions and restricts tab-sharing limitations.
- Element Interaction - Programmatically triggers click and input events to automatically select correct answers in exam portals.
- Browser Extension Scripts - Utilizes browser extension privileges to modify page structure and disable portal security scripts.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
