Kunika V.

CraveIt – AI-Powered Personalized Recommendation Platform (Personal Product Project)

Identified consumer pain points around decision fatigue in food discovery and conceptualized an AI-powered recommendation platform to deliver personalized suggestions • Conducted user research and defined MVP scope, target personas, and feature prioritization strategy based on user needs and behavioral patterns • Defined engagement and retention metrics to evaluate recommendation quality, user satisfaction, and feature adoption • Iterated user flows and recommendation logic based on usability feedback, leading end-to-end execution from ideation to implementation across product strategy, UX, and technical development