🧩 What is CodeInterviewAssist?
CodeInterviewAssist is an open-source desktop application designed to provide real-time, invisible AI support during technical interviews. It helps candidates analyze problems, generate solutions, and debug code—all within a nearly undetectable window, ensuring discretion throughout the interview process. Users can use their own OpenAI API key for full control over data and privacy.
🛠️ Key Features
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Invisible Window Interface: Adjustable window transparency makes the app hard to detect by screen recording tools, ensuring interview privacy.
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Smart Screenshot Processing: Capture question content and code areas separately for more precise AI understanding and processing.
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AI-Powered Problem Analysis: Automatically analyzes coding problems from screenshots using GPT-4o.
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Code Generation and Explanation: Delivers detailed code implementations with explanations, including time and space complexity analysis.
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Real-Time Debugging Suggestions: Provides AI-assisted debugging with structured feedback to help quickly fix errors.
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Customizable Window Controls: Supports window dragging, resizing, transparency adjustment, and scaling.
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Flexible Model Selection: Choose between GPT-4o and GPT-4o-mini to meet different task requirements.
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Local Data Privacy Protection: All data processing is done locally; only essential API requests are sent to OpenAI, ensuring data security.
⚙️ Technical Overview
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Frontend: Built with React + Vite for a smooth and responsive UI.
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Backend: Powered by Electron, enabling cross-platform compatibility.
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Language: Developed in TypeScript for better maintainability and type safety.
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UI Styling: Uses Tailwind CSS and Radix UI for a clean, customizable interface.
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AI Integration: Connects to OpenAI APIs, with model selection flexibility for different processing stages.
🔗 Project Repository
GitHub:
https://github.com/greeneu/interview-coder-withoupaywall-opensource
🎯 Use Cases
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Job Seekers: Improve technical interview performance by leveraging AI to tackle coding challenges in real-time.
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Students: Practice algorithms, enhance problem-solving skills, and get instant feedback.
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Educators: Use as a teaching aid to demonstrate problem-solving approaches and debugging techniques.
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Developers: Customize the app’s logic or extend its AI capabilities to fit specific needs.
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