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A full-stack app that analyzes website content and generates multiple-choice questions to classify visitor intent. Built with React/Material UI frontend, Flask backend with AWS Bedrock (Llama 3) for ML inference, and DynamoDB for analytics-driven caching and visitor behavior analysis.

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joshndala/web-visitor-classifier

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Web Visitor Classifier

The following untitled web visitor classifier is an intelligent web application that transforms any website into an interactive questionnaire. By analyzing webpage content through advanced scraping and AI, it automatically generates relevant multiple-choice questions to understand visitor intent.

🛠️ Tech Stack

Frontend

  • React
  • MaterialUI components
  • REST API integration

Backend

  • Python
  • Flask RESTful API
  • Selenium for web scraping

Cloud Infrastructure (AWS)

  • AWS Bedrock for LLM processing
  • DynamoDB for data storage

🎯 Usage Example

  1. Enter a URL (e.g., apple.com)
  2. The system analyzes the content
  3. Receive a targeted question like:

    "What are you looking for on this website?"

    • A. Gift Ideas
    • B. Information about Apple's services
    • C. Apple's company values and mission
    • D. Apple's store location and hours

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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A full-stack app that analyzes website content and generates multiple-choice questions to classify visitor intent. Built with React/Material UI frontend, Flask backend with AWS Bedrock (Llama 3) for ML inference, and DynamoDB for analytics-driven caching and visitor behavior analysis.

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