How a non-CS student approaches the topic of "A menu translator for a local restaurant that handles their specific dishes better than a generic tool"

For her Hacktoberfest Open-Source AI Challenge submission, non-CS student Nelson Lan has developed a menu translator designed specifically for a local restaurant. The tool outperforms generic translation apps in handling regional slang and specialty cooking methods, which often result in confusing dish names like "husband and wife lung slices."

One major issue with generic translation tools is that they fail to provide preparation information. They rarely explain the cooking method (braised, stir-fried, clay-pot) or the expected flavor profile (sour, numbing-spicy, sweet-and-sour). Specialized menu translation tools, however, go beyond simple word-for-word translation.

These tools offer users a richer dining experience by explaining actual ingredients, regional background, and flavor profiles. Additionally, they include allergy and dietary filters that allow users to flag common allergens (shellfish, peanuts, gluten, dairy) or dietary restrictions, ensuring they are aware of any unsafe options.

For restaurant owners, specialized menu translation tools provide custom publishing workflows. The developer built the tool using JSON structure, HTML, CSS, and JavaScript, creating a local web-based application. While it can be expanded for server-client hosting by exporting into HTML and JSON storage, the current demo is available on GitHub at https://nelsonlan01.github.io/Hacktoberfest-2026-Project-Menu/.