Artificial Intelligence in Education: AIMonitor Software Proposal for the reporting and monitoring of incidents

Artificial Intelligence in Education: AIMonitor Software Proposal for the reporting and monitoring of incidents | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 20 June 2025 V1 Latest version Share on Artificial Intelligence in Education: AIMonitor Software Proposal for the reporting and monitoring of incidents Authors : Antonio Carlos Bento 0000-0001-8264-4771 [email protected] , Carolina De Los Antos-Resendiz , Nancy Silva-Alvarez , and Dora Estefanía García-Correa Authors Info & Affiliations https://doi.org/10.22541/au.175044413.32000710/v1 261 views 140 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract In response to the inefficiencies of manual incident management in wholesale industries-such as undetected stock shortages, product degradation, and labeling errors-this project introduces AIMonitor, a web-based platform leveraging artificial intelligence (OpenAI's GPT-4) and geolocation (Google Maps API) to automate incident detection, reporting, and resolution. Developed with HTML/CSS, JavaScript, Node.js, and MSSQL, the platform features intuitive interfaces for real-time report generation, AI-driven categorization, and dashboard analytics, while gamification elements (e.g., user rankings) incentivize employee engagement. Preliminary tests demonstrate streamlined communication, reduced errors, and enhanced operational efficiency, aligning with Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). Future work includes expanding AI training for broader automation, positioning AIMonitor as a scalable solution for modernizing incident management in corporate environments. Supplementary Material File (artificial intelligence in education_aimonitor software proposal for the reporting and monitoring of incidents.pdf) Download 567.26 KB Information & Authors Information Version history V1 Version 1 20 June 2025 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords artificial intelligence computer engineering incident reporting industry innovation infrastructure professional and higher education smart cities Authors Affiliations Antonio Carlos Bento 0000-0001-8264-4771 [email protected] Science Engineering School View all articles by this author Carolina De Los Antos-Resendiz Science Engineering School View all articles by this author Nancy Silva-Alvarez Science Engineering School View all articles by this author Dora Estefanía García-Correa Science Engineering School View all articles by this author Metrics & Citations Metrics Article Usage 261 views 140 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Antonio Carlos Bento, Carolina De Los Antos-Resendiz, Nancy Silva-Alvarez, et al. 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