基于 WebGIS 的郑州大学智慧校园导览系统,包含路径规划、POI查询与失物招领功能。
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Updated
Jan 14, 2026 - Vue
基于 WebGIS 的郑州大学智慧校园导览系统,包含路径规划、POI查询与失物招领功能。
Repository of the Final Degree Project of Mathias Brunkow Moser, this repo has the main code for the Parking Time Optimization System. This project has received the best note and Honors for the 2022 UFV Promotion.
Assetra is a full-stack Smart Campus system for managing facility bookings, asset allocation, and maintenance workflows using Spring Boot, React, and PostgreSQL.
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ZeusWatch is an energy efficiency framework for TUPV, using IoT to collect real-time data, analyze energy use, and predict efficiency improvements. It aims to optimize energy consumption, reduce costs, and promote sustainability in educational institutions.
Real-time campus digital twin for monitoring building occupancy, parking availability, and operational incidents at the University of Toledo.
A real-time face recognition system for automated student attendance tracking using Python, OpenCV, and AI, with optional API integration for smart campus environments.
Smart campus energy optimization platform using discrete mathematics, real-time monitoring, and analytics.
Smart campus platform scaffold for building metadata, room monitoring, admin dashboard, student services, IoT integration, and digital twin expansion.
Image and video manipulation in Python using OpenCV module (Smart Campus project's selection process - UFC)
Enterprise-grade real-time AI chat application using Node.js, MongoDB, Redis, and Ollama with streaming responses and secure authentication.
Academic Connect streamlines student advising, course planning, and academic success tracking for universities and educational institutions.
OLOUD – Ontology for Linked Open University Data
An AI-powered Smart Parking system for KFU campus using Random Forest Classifier to predict slot availability with 96% accuracy.
AI-powered Smart Campus Digital Twin with predictive energy forecasting, occupancy modeling, anomaly detection and Streamlit UI.
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IoT-based waste monitoring system leveraging smart sensors and analytics to optimize collection routes and improve sustainability.
AI-powered, enterprise-grade attendance automation platform integrating real-time facial recognition and RFID-based biometric authentication. Built on OpenCV, Python, PHP, and MySQL with API-driven microservice orchestration, identity verification pipelines, event-driven processing, audit logging, and a scalable, secure backend architecture.
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