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Abstract The proliferation of streaming platforms has led to subscription fatigue, content fragmentation, and decision paralysis among users. This paper introduces Streamgaroo — a conceptual model that integrates agile content aggregation, seamless platform hopping, and personalized recommendation algorithms. Drawing inspiration from the kangaroo’s efficient, energy-saving locomotion, Streamgaroo enables users to "hop" between content sources with minimal friction. We outline its core architecture, potential benefits, and challenges regarding licensing, data privacy, and market adoption.

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Abstract The proliferation of streaming platforms has led to subscription fatigue, content fragmentation, and decision paralysis among users. This paper introduces Streamgaroo — a conceptual model that integrates agile content aggregation, seamless platform hopping, and personalized recommendation algorithms. Drawing inspiration from the kangaroo’s efficient, energy-saving locomotion, Streamgaroo enables users to "hop" between content sources with minimal friction. We outline its core architecture, potential benefits, and challenges regarding licensing, data privacy, and market adoption.

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