Prototipo no-code con Inteligencia Artificial para el análisis de riesgos laborales en inspecciones de SST

Abstract

This preliminary project proposes the development of an automated prototype to support Occupational Health and Safety (OHS) inspections, using no-code tools and Gemini’s artificial intelligence. Currently, inspection processes are conducted manually, which involves a high time consumption, subjectivity in risk identification, and rework in the preparation of reports and matrices. This situation limits preventive effectiveness and compliance with national regulations (GTC 45, Law 1562 of 2012, Decree 1072 of 2015, and Resolution 0312 of 2019). The proposal aims to automate the generation of preliminary reports based on data recorded in Google Sheets, connected through the Make platform. Upon detecting a new response, the system activates Gemini, which analyzes the workplace information and generates an automatic email with the description of risks and preventive recommendations. The research is designed with an applied, descriptive, and exploratory approach, focused on validating the technical and practical feasibility of this solution as a support tool for OHS inspectors. It is expected that the prototype will help optimize time, improve accuracy in hazard identification, and strengthen preventive management within organizations by integrating automation and artificial intelligence into occupational safety processes.