Enterprise Multimodal E-commerce AI System

An applied AI system exploring multimodal product understanding, retrieval, recommendation, evaluation, and production-oriented architecture.

PythonPandasNumPyScikit-learnPyTorchTransformersCLIPTF-IDFPillowPytestRetailRocketAmazon Berkeley Objects

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Problem definition

CASE STUDY

This section records problem definition using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Multimodal architecture

CASE STUDY

This section records multimodal architecture using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Retrieval and search

CASE STUDY

This section records retrieval and search using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Evaluation framework

CASE STUDY

This section records evaluation framework using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

API integration

CASE STUDY

This section records api integration using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Testing

CASE STUDY

This section records testing using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Observability

CASE STUDY

This section records observability using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Deployment strategy

CASE STUDY

This section records deployment strategy using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Engineering decisions

CASE STUDY

This section records engineering decisions using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.

Current development stage

CASE STUDY

This section records current development stage using the project’s current repository evidence, implementation status, engineering decisions, and known limitations.