AI Multimodal Product Intelligence System

Large-scale GenAI pipeline for e-commerce product understanding, built to unify metadata, reviews, and visual context into grounded, structured outputs.

Highlights

• Processed review and metadata streams into a retrieval-ready product intelligence pipeline.
• Used FAISS-based retrieval to ground synthesis on review evidence and reduce hallucination risk.
• Combined OpenAI, Gemini, and retrieval tooling to generate structured JSON outputs and multimodal summaries.
• Designed the system around scalable ingestion, retrieval, and evidence-backed generation.

Tech Stack

Python, Pandas, FAISS, OpenAI API, Gemini, LlamaIndex, and LangChain.

Why It Matters

This project showcases applied GenAI pipeline design with retrieval grounding, multimodal reasoning, and strong data-system thinking.