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Description

CTRLpotato serves as a real-time AI interview assistant compatible with both macOS and Windows, designed specifically for live interviews, coding tests, and proctored online examinations. With a simple keystroke, it can efficiently capture text selections, screenshots, or live audio transcriptions, amalgamating this information to provide a clear and concise response generated from leading AI models such as GPT-5, Claude, and Gemini. The application can run discreetly in the background or be mirrored to a smartphone to ensure safety during screen sharing, and it offers customizable shortcuts, context from resumes or documents, and rapid model switching. By maintaining a clutter-free interface, it operates stealthily and delivers responses in just 2 to 3 seconds, enabling candidates to present articulate and confident answers across various platforms like Zoom, Teams, HackerRank, and TestGorilla. This innovative tool not only enhances the interview experience but also empowers users to perform at their best under pressure.

Description

Collaborate on code with interviewers, peers, and classmates in real-time, anytime and anywhere. This straightforward real-time code sharing application utilizes Firebase Realtime Database, CodeMirror as the editing tool, WebRTC for video communication, and Witeboard for collaborative drawing. Users can code, engage in video chats, and sketch together seamlessly. The inspiration for this application stems from the belief that interviews should be interactive, not only in terms of verbal communication but also by allowing candidates to demonstrate their thought processes visually. I aimed to create a platform that enables interviewers to outline their coding solutions while utilizing a whiteboard for clarity. The app is built using React, Firebase for real-time database capabilities, CodeMirror for text editing, and integrates WebRTC and sockets for video chatting alongside Witeboard. Although there are some existing bugs and additional features still under development, users can easily save their work by bookmarking the link to revisit their code and drawings later! This way, collaboration and reference become effortless and convenient.