Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

Real-time multi-camera multi-object tracker using YOLO varients

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.

Streaming Ethereum and Bitcoin blockchain data to Google Pub/Sub or Postgres in Kubernetes

Project for real-time anomaly detection using Kafka and python

Apache Flink Demo Projects

Create, manage, and measure Flowcode QR at scale! 🚀 - Dynamic Bulk QR Code Generator APIs

Video streaming inference framework, integrating image algorithms and models for real-time/offline video structuring, lightweight NVIDIA DeepStream. 视频流式推理框架，结合图像算法和模型进行实时/离线视频结构化，轻量版 NVIDIA DeepStream

Rockset community content

A highly scalable real-time log anomaly detection architecture with LLMs, information retrieval, and user feedback to pinpoint faults across a distributed system.

Apache Paimon Python The Python implementation of Apache Paimon.

Professional Battery RUL Prediction System with Advanced Machine Learning - Predicting Remaining Useful Life (RUL) and State of Performance (SOP) of lithium-ion batteries using LSTM, Transformer, and Ensemble models with 95%+ accuracy. Features real-time analytics dashboard, REST API, and production-ready deployment.

This solution accelerator provides the architecture and working solution for real-time intelligence for operations. Key features include real-time dashboard, anomaly detection, and fabric data agent.

This web app recommends trending movies and songs by analyzing real-time tweets using sentiment analysis. It fetches data from Spotify and TMDB, and sends personalized email updates to users.

CNN based Efficient Traffic Routing in Real-Time

Microservices Framework for Stopover

Designed and implemented a data pipeline for real-time analysis of movie and TV show data sourced from multiple APIs of TMDB website. The project was designed according to Kappa architecture

This is an extension of FINAL YEAR PROJECT in which further features such as news feed, stock analysis have been added.

A real-time e-commerce analytics and recommendation pipeline built using Kafka, AWS Lambda, Neon Serverless Postgres, and lightweight ML models. Supports instant event processing, live dashboards, and personalized product recommendations.