AI-Powered Personalized Restaurant Recommendations in FoodTech

Summary

Built a hybrid recommendation engine that combined behavioral data with language model insights to interpret user search intent. Delivered real-time, personalized restaurant suggestions across a reservation platform. Automated model training and deployment through an integrated AI pipeline. Drove higher conversion, engagement, and operational efficiency.

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