A computer science instructor developed an offline AI career advisor named GuidanceOS, designed to run entirely on a local GPU without internet access. The system utilizes Google's Gemma 4 model, specifically the `gemma-4-e4b-it` variant, which was loaded using 4-bit quantization to fit within 15GB of VRAM. For matching user skills to jobs and courses, the advisor employs a TF-IDF index built from over 130,000 LinkedIn job postings and Coursera course records, ensuring fast and reproducible results. AI
IMPACT Demonstrates practical application of smaller LLMs for specialized, offline tools.
RANK_REASON The article describes a personal project using an existing model for a specific application, not a new model release or significant industry event.
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