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real-time-analytics

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This system provides automated classification of customer feedback into Complaints, Suggestions, and Praises using Natural Language Processing (NLP). It features a real-time dashboard with interactive visualizations for business insights.

  • Updated Mar 13, 2025
  • Python

🤖 Build AI-powered customer agents for multi-channel messaging, enhancing engagement and providing real-time support for enterprise applications.

  • Updated Oct 22, 2025

This project serves as a thorough roadmap for constructing a complete data engineering pipeline. The implementation leverages a resilient technology stack, featuring Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. all components are containerized using Docker.

  • Updated Nov 12, 2023
  • Python

QuantumFlow predicts cryptocurrency price movements before they happen by analyzing order book microstructure in real-time. From data ingestion to live trading signals, every component is production-hardened for hedge funds, algorithmic traders, and fintech platforms seeking systematic alpha generation through ML and quantitative rigor.

  • Updated Oct 3, 2025
  • Python

XAnalytics Engine Server Description: XAnalytics Server is a powerful and versatile analytics server designed to provide real-time insights into user behavior on websites. Built with Node.js, WebSocket communication, and MongoDB, this server collects, processes, and visualizes data to help you understand how users interact with your websites.

  • Updated Nov 29, 2023
  • JavaScript

An end-to-end data engineering pipeline that orchestrates data ingestion, processing, and storage using Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra. All components are containerized with Docker for easy deployment and scalability.

  • Updated May 23, 2024
  • Python

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