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Student Builds Offline App That Turns Lectures and PDFs into Summaries and Flashcards

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A developer has released Lazy Student AI, a free desktop application that runs entirely offline to help students study. Users drop in a lecture video, audio file, or PDF, and the app extracts the text, then generates bullet-point summaries and interactive flashcards. The tool uses Google's open-weight Gemma 2B model via Ollama for summarization, with OpenAI's Whisper and FFmpeg handling speech transcription, all orchestrated by a Spring Boot backend. The developer emphasized zero running costs and privacy, since lecture content never leaves the user's machine. The project was submitted to a Hacktoberfest open-source AI challenge.

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