Comprehensive E-Commerce Recommendation System DevelopmentComprehensive E-Commerce Recommendation System Development
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Damilola Akinrinmade
• Apr 27
Built an end-to-end e-commerce recommendation system using FastAPI, SQLite, and custom ML ranking models. The project supports content-based, collaborative, and hybrid recommendations, ingests a real product catalog dataset, seeds user interactions for personalization, and exposes a browsable frontend plus documented REST APIs.
Machine Learning EngineeringData EngineeringDockerPythonTensorFlow
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