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Amazon E-commerce Visual Assistant

A multimodal AI assistant that helps users search and explore Amazon products through natural language and image-based interactions.

Features

  • Text and image-based product search
  • Product comparisons and recommendations
  • Visual product recognition
  • Detailed product information retrieval
  • Price analysis and comparison

Technologies Used

  • FashionCLIP for visual understanding
  • Mistral-7B Language Model for text generation
  • FAISS for efficient similarity search
  • Streamlit for the user interface

Setup and Installation

  1. Clone the repository:
git clone https://github.com/wisdom196473/amazon-multimodal-product-assistant.git
cd amazon-multimodal-product-assistant
  1. Install dependencies:
pip install -r requirements.txt
  1. Run the application:
streamlit run amazon_app.py

Project Structure

  • amazon_app.py: Main Streamlit application
  • model.py: Core AI model implementations
  • requirements.txt: Project dependencies

Future Directions

  • Fine-Tune FashionClip embedding model based on the specific domain data
  • Fine-Tune large language model to improve its generalization capabilities
  • Develop feedback loops for continuous improvement