INTELLIGENT SYSTEMS AND AUTOMATION: WEB APPLICATION FOR AUTOMATED SECURITY MANAGEMENT WITH ARTIFICIAL INTELLIGENCE

Abstract

Building security management faces considerable challenges in modernizing its operational processes, especially in automating administrative tasks and analyzing incident data. This reveals a gap in the private security sector for intelligent systems that automatically process information and generate strategic insights. This work proposes the development of a web application integrated with artificial intelligence (AI) for automated building security management, using the Google Gemini API for automatic incident classification and intelligent reporting. The methodology followed the Agile Scrum framework, with iterative development in seven sprints over seven months, employing established technologies such as Flask (in Python) for the backend, PostgreSQL for data storage, Bootstrap for a responsive interface, and integration with Google Gemini for AI functionalities. The results confirm the solution's technical and economic capabilities, with the full implementation of modules for user management, patrols, incidents, automatic classification via AI, and reporting, achieving 99% test coverage and validating everything from secure authentication to intelligent report processing. This combination of modern web technologies with AI has proven effective in automating processes and improving documentation quality. In conclusion, the integration of web technologies with AI is viable and cost-effective for the building security sector, offering a scalable, open-source solution that significantly contributes to the modernization of security management in corporate and residential environments.