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A pipeline designed to streamline the gathering, integration, and analysis of product data from diverse sources. Leveraging modern techniques in web scraping, data storage, and natural language processing, this project offers an intuitive and efficient platform for e-commerce research, comparison, and customer support.

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Product Data Pipeline with Natural Language Querying

Product Data Pipeline with Natural Language Querying is a cutting-edge solution designed to streamline the gathering, integration, and analysis of product data from diverse sources. Leveraging modern techniques in web scraping, data storage, and natural language processing, this project offers an intuitive and efficient platform for e-commerce research, comparison, and customer support.

Demo Video

Demo Video

Click the image above to watch the demo video.

Key Features

  • Scalable Architecture: Engineered for scalability, the system can handle large volumes of data and high user traffic, making it suitable for enterprise-level applications.
  • Modular Design: The modular architecture allows for easy customization and extension, enabling seamless integration with existing systems and workflows.
  • Natural Language Querying: Utilizing large language models and retrieval-augmented generation (RAG), the system offers a user-friendly chat interface for natural language querying, automating data collection and significantly reducing time and effort.
  • Robust Database Management: Backed by a robust MySQL database, the system ensures data integrity, reliability, and efficient storage and retrieval of product information.
  • Mobile Compatibility: Implemented over the smartphone category, the system is accessible on mobile devices, providing on-the-go access to valuable product insights.

Potential Applications

  • E-commerce product research and comparison
  • Customer support and product recommendation systems
  • Inventory management and supply chain optimization

System Design Diagram - SysDesign Diagram

ER Diagram - ER Diagram

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A pipeline designed to streamline the gathering, integration, and analysis of product data from diverse sources. Leveraging modern techniques in web scraping, data storage, and natural language processing, this project offers an intuitive and efficient platform for e-commerce research, comparison, and customer support.

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