The smart city reference pipeline shows how to integrate various media building blocks, with analytics powered by the OpenVINO™ Toolkit, for traffic or stadium sensing, analytics and management tasks.

A modern online participation platform for everyone developed by Liquid Democracy

STCF: Spatial-Temporal Contrasting for Fine-Grained Urban Flow inference. IEEE Transactions on Big Data, 2023.

IoT project aimed to improve public transport; enabling fast, easy and accessible mobility.

Prediction system for smart city data.

Automation of an Animal Shelter for SmartCity project. Using Domain-Driven-Design and Build Automation + Continuous-Integration/Continuous-Delivery

NexusCore is a comprehensive, AI-powered platform that integrates IoT devices, blockchain technology, and machine learning to create a hybrid, cyber-physical system for smart cities. This project would involve developing a robust IoT framework, AI-driven analytics, and a decentralized, blockchain-based data management system.

Multi-Agent Reinforcement Learning Environment

District Heating Simulator - MAN version

District Heating Simulator - TRN version

A Python extract, transform, load (ETL) pipeline for the CityPulse Smart City dataset.

An index repository for Dr. Ray Gao's research on Internet of Things (IoT)-enabled smart built environment.

Face Recognition using OpenCV, Python, Dlib, and Google Sheets API as databases for implementing Smart City Concept (Smart Governance)

BIM Service Provider - Context Layer

BIM Service Provider - Interface Layer

track public transportation traffic in city of Wrocław

See https://twitter.com/Kongduino/status/1552850201408598018

Final project for the subject of Autonomous Networks and Systems of the University of Aveiro

Predictive Traffic Analysis with Google Cloud Platforms

Smart Traffic Control is an open-source project for optimizing urban traffic using real-time data and decentralized decision-making. It adapts traffic lights and enforces speed dynamically, using blockchain-like tech for privacy. Join us in improving road safety and efficiency through smarter, fairer traffic systems!