Data Mining algorithms for IDMW632C course at IIIT Allahabad, 6th semester

This repository hosts a project that enables efficient YouTube data extraction, storage, and analysis. It leverages SQL, MongoDB, and Streamlit to develop a user-friendly application for collecting and visualizing data from YouTube channels.

Warehauser is an open source warehouse management backend system written in Python using the Django library. It is designed to be simple to understand but powerful enough to handle the most complex business logic.

The Data Engineering Zoomcamp covers essential skills in containerization, workflow orchestration, data warehousing, analytics engineering, batch, and streaming processing. It includes tools like Docker, Terraform, BigQuery, dbt, Spark, Kafka, Kestra, Postgres, Google Data Studio, and Metabase.

This project utilises the features of the YouTube Data API to retrieve data from YouTube channels, playlists, videos, and comments and store it in a data lake. It also interacts with a PostgreSQL database to store the retrieved data.

Multi-warehouse inventory balancing with lateral transfer optimization

AI warehouse capacity planning with growth scenario modeling

Product affinity co-location analysis

ML-driven warehouse slotting optimization using order frequency patterns

Warehouse space utilization optimizer

Cross-docking scheduling distribution centers

Zone picking strategy wave coordination

Inbound outbound dock door scheduling

Warehouse labor productivity analytics with engineered standards

Digital twin simulation for warehouse operations and throughput optimization

Warehousing and distribution

Robotic goods-to-person warehouse picking simulation with throughput analysis

AI warehouse orchestrator coordinating robots, labor, and systems

Warehouse energy consumption optimization with HVAC and lighting scheduling

AI warehouse layout and operation planning with simulation