Developer builds local AI tool to filter 19,426 China civil-service exam job posts from one sentence

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A developer created CouchFilter, an open-source tool that lets users search China's national civil-service exam position table by typing a single natural-language query. The table lists 19,426 posts covering departments, quotas, majors, degree requirements and locations. The system uses the open-weight Gemma 3 1B model, run locally through Ollama, to interpret the query, while plain Python code performs the exact filtering and ranks results by number of openings. A rule-based fallback parser activates if the model is unavailable. The project was built for DEV's Hacktoberfest Open-Source AI Challenge and is available on GitHub.

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