README.md

metadata

title: Amazon E-commerce Visual Assistant
emoji: 🛍️
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.28.0
app_file: amazon_app.py
pinned: false

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

2. Install dependencies:

pip install -r requirements.txt

3. 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