🚀 Kew - A Fast, Redis-backed Task Queue Manager for Python
Tools for DevOPs and sysadmins
A queueing system with built-in IP-based rate limiting that protects backends during high-traffic events. Built with FastAPI, Redis, and PostgreSQL.
The Smart Queue Monitor is a real-time computer vision system that uses YOLOv8n and DeepSort to detect and track people in queue and service areas. It provides live analytics including queue length, waiting times, average service duration, and status alerts. With dynamic ROI adjustment, smooth tracking, and privacy features like face blurring
Digital queue and slot management system for agricultural procurement centres to eliminate physical wait times and optimize MSP grain intake (Smart India Hackathon 2026 • PS 26032).
AI-powered ration shop crowd prediction & queue insights system built with Django + React.
A Flask-based registration queue management system for organizing and managing registration workflows
Single hospital outpatient operations and adaptive queue production pilot
Modern queue management system built with Django, Docker, PostgreSQL, Redis, and Celery for booking and managing time slots across multiple service locations.
Python-based simulation of a supermarket checkout system that models customer arrivals, queue management, and cashier efficiency. Uses probability and timing logic to analyze waiting times and optimize checkout performance.
A scalable backend system for smart queue management, enabling service centers to manage visitors, queues, notifications, ratings, and real-time status tracking with token-based access and RESTful APIs.
A discrete-event queueing simulator modeling customer service systems (e.g. bank tellers), built with a custom C++ engine and a Python bridge for visualization.
Local batch-processing dashboard built with Flask, Celery, Redis, and SQLite for background job execution and monitoring.
Intelligent PostgreSQL queue cleanup automation with maintenance detection. Prevents process deadlocks while avoiding interference with scheduled maintenance. Reduced manual intervention by 98%.
Self-hosted, realtime take-a-number queueing system built with FastAPI and WebSockets.
An edge-to-cloud computer vision and retail analytics platform built for the Purplle Tech Challenge 2026. Features real-time YOLOv8 object tracking, thread-safe telemetry batching, and a dual-boot FastAPI/Streamlit, Docker architecture deployed on render for live queue and conversion metrics.
Store SO fulfilment: scan a customer order barcode, a POS claims it, the backstore delivers and ticks it off. Local-first, one SQLite file, runs on a single in-store box.
Queue System v2.0 is a modular patient queue management solution for medical practices. It combines a local PyWebView desktop app with a central Flask web display for the waiting room. Staff manage patient calls locally via SQLite, syncing real-time queue updates and status notifications to display monitors via a REST API.
AI-assisted queue monitoring with YOLOv8 camera analysis, forecasting, smart alerts, FastAPI, React, PostgreSQL, and WebSockets.
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