Lelouvre: A Local AI Assistant to Streamline Internship Applications

The developer built Lelouvre to reduce the repetitive work of finding internships, tailoring résumés, and filling out application forms. The tool combines opportunity discovery, application preparation, and tracking in one workspace, and uses Gemma running locally through Ollama to draft résumé bullets from recorded experience. Each suggested bullet links back to a source entry so the user can verify claims before using them, and code checks catch unsupported numbers or tool names. The project is open source under Apache 2.0, built with Python, SQLite, and a browser interface, and keeps personal evidence on the user's machine during inference. Submissions require reviewed answers and passing checks, and the user remains responsible for final review.