This case study explains how a smart oven manufacturer enhanced its product capabilities using AI-driven food recognition and intelligent cooking assistance. The client faced challenges in accurately identifying diverse food items and simplifying user interaction. Happiest Minds implemented a vision-language model (CogVLM) to enable zero-shot food classification, reducing dependency on extensive labeled datasets. The system processes images captured by the oven and provides cooking recommendations, including temperature and techniques. Additionally, it simplifies complex user interfaces through intuitive controls such as voice and touch interactions. The solution improved user experience, reduced training time, and enhanced the overall functionality and usability of smart cooking appliance

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