Use during a live job interview to record a question and read a tailored spoken answer within 5 seconds
Practice mock interviews at home by recording sample questions and reviewing AI-generated answers in session history
Upload your resume PDF so every generated answer references your real experience instead of generic examples
Track your AI API spending per response while using the interview assistant
Requires your own API key from a supported AI provider, the app is not on any app store and must be built from source or sideloaded.
Kuaida is an Android app designed to help people prepare for job interviews, aimed at Chinese-speaking job seekers. When an interviewer asks you a question, you record yourself speaking it or type it in, and within a few seconds the app produces a structured, conversational answer you can read aloud or adapt on the spot. The README describes the target response time as five seconds from hearing the question to seeing the answer. The core input method is audio recording. During a practice or live interview session, you press a button, speak the question, and the app transcribes it automatically before generating a reply. Answers are written in a natural spoken style rather than formal prose. If the initial answer does not feel right, buttons let you request a shorter version, ask the model to add a concrete example, or make the tone more casual. The app connects to AI language model providers using an API key that you supply yourself, with support for multiple providers from China and abroad. The interface shows token usage and the estimated cost for each response so you can track spending directly. Your API key is stored locally on the device only. A personal knowledge base feature lets you upload your resume or project documents as PDFs. The app uses those files as context when generating answers, so responses reference your actual experience rather than generic examples. A history screen keeps a log of past question-and-answer sessions for later review. The codebase is Kotlin with Jetpack Compose for the interface, an MVVM architecture split across multiple feature modules, and Hilt for dependency injection. The app targets Android 8.0 and above. The README states the app is intended for personal use only and is not planned for any app store release.
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