{"id":407,"date":"2026-03-31T09:37:18","date_gmt":"2026-03-31T09:37:18","guid":{"rendered":"https:\/\/www.sigenera.eu\/?page_id=407"},"modified":"2026-09-10T13:51:36","modified_gmt":"2026-09-10T13:51:36","slug":"il-progetto","status":"publish","type":"page","link":"https:\/\/www.sigenera.eu\/en\/il-progetto\/","title":{"rendered":"Il progetto"},"content":{"rendered":"
\n

<\/p>\n

\n
\n
\n <\/span>
\n PROJECT\n <\/div>\n

\n Large Language Models for Information Systems Monitoring
\n <\/h1>\n

\n Automatic Text Generation, Knowledge Base Access, and Decision Support.\n <\/p>\n<\/p><\/div>\n

\n \"Illustrazione\n <\/div>\n<\/section>\n

<\/p>\n

\n
\n
\n <\/span>
\n PROJECT\n <\/div>\n

What the Project Is About<\/h2>\n
<\/div>\n

\n SIGENERA was created with the aim of harnessing the potential of Generative Artificial Intelligence and Large Language Models (LLMs) to improve the management, use, and accessibility of information within information systems.<\/p>\n

The project focuses on leveraging Generative AI techniques to develop solutions capable of supporting people in their daily activities, simplifying access to knowledge, and automating complex processes.<\/p>\n

Language generation technologies will be applied in the university context, where they will be used to automatically answer questions from students and academic staff.<\/p>\n

Finally, the project aims to automate the summarization and generation of meeting minutes, enabling the rapid identification of key points and decisions made during discussions.\n <\/p>\n<\/p><\/div>\n

\n
\n OBJECTIVE\n <\/div>\n
\n \u25ce\n <\/div>\n

\n Four Objectives
\n Key
\n <\/h3>\n
<\/div>\n

\n Each objective directly enhances services and software.
\n of the partners, with potential applications beyond them.
\n of the project.\n <\/p>\n<\/p><\/div>\n<\/section>\n

<\/p>\n

\n
\n <\/span>
\n OBIETTIVI PRINCIPALI\n <\/div>\n

Four Key Objectives<\/h2>\n
<\/div>\n
\n

<\/p>\n

\n
\n <\/><\/span>\n <\/div>\n
\n 01\n <\/div>\n

\n Identification of GenAI and LLM Technologies
\n GenAI e LLM
\n <\/h3>\n

\n Identify the most appropriate Generative AI techniques
\n and Large Language Models to meet application-specific needs.
\n dei partner.\n <\/p>\n<\/article>\n

<\/p>\n

\n
\n \u2022\u2022\u2022<\/span>
\n \u2311<\/b>\n <\/div>\n
\n 02\n <\/div>\n

\n UNICAL Help Desk Chatbot
\n UNICAL
\n <\/h3>\n

\n Develop an intelligent chatbot to support
\n users in accessing information and services
\n of the University of Calabria.\n <\/p>\n<\/article>\n

<\/p>\n

\n
\n \u263c\n <\/div>\n
\n 03\n <\/div>\n

\n Code Generator
\n for information systems.
\n <\/h3>\n

\n Develop a model-based code generator for information systems.
\n for the development and maintenance of information systems
\n of information systems.\n <\/p>\n<\/article>\n

<\/p>\n

\n
\n \u25a4\n <\/div>\n
\n 04\n <\/div>\n

\n Automated Meeting Minutes Generation
\n di riunione
\n <\/h3>\n

\n Automate the generation of meeting minutes
\n through Artificial Intelligence techniques,
\n reducing time and manual effort.\n <\/p>\n<\/article><\/div>\n<\/section>\n

<\/p>\n

\n
\n
\n TERRITORIAL CONNECTION\n <\/div>\n
\n

\"Calabria<\/p><\/div>\n<\/p><\/div>\n

\n
\n <\/span>
\n ALIGNMENT WITH THE REGIONAL STRATEGY\n <\/div>\n

\n Alignment with Calabria's Smart Specialisation Strategy (S3)
\n <\/h2>\n

\n SIGENERA is fully aligned with the guidelines of the
\n Smart Specialisation Strategy (S3) of the
\n of the Calabria Region.\n <\/p>\n

\n
\n


\n 01
\n <\/span><\/p>\n

\n AI for Data Analysis
\n <\/h3>\n

\n Application of Artificial Intelligence technologies
\n Artificial Intelligence for data analysis and processing.
\n of large volumes of data.\n <\/p>\n<\/article>\n

\n


\n 02
\n <\/span><\/p>\n

\n Digital Transformation
\n <\/h3>\n

\n Introduction of innovative technologies to
\n improve processes, services, and
\n information systems\n <\/p>\n<\/article>\n

\n


\n 03
\n <\/span><\/p>\n

\n Automated Document Generation
\n <\/h3>\n

\n Use of Generative AI to automate
\n the production and management of documentation.\n <\/p>\n<\/article><\/div>\n<\/p><\/div>\n<\/section>\n

<\/p>\n

\n
\n
\n <\/span>
\n TRL AND SCALABILITY\n <\/div>\n

\n Technology Readiness Level (TRL)
\n <\/h2>\n

\n The project starts at TRL 6 \u2013 technology ready for
\n demonstration in a real operational environment.\n <\/p>\n

\n
\n
\n \u2197\n <\/div>\n


\n Initial TRL
\n <\/span><\/p>\n


\n TRL 6
\n <\/strong><\/p>\n

\n The initial technologies and prototypes are already
\n already developed and validated in a relevant environment.\n <\/p>\n<\/article>\n

\n
\n \u25ce\n <\/div>\n


\n Final Target TRL
\n <\/span><\/p>\n


\n TRL 8
\n <\/strong><\/p>\n

\n to achieve complete and scalable solutions
\n validated and ready for operational applications.\n <\/p>\n<\/article><\/div>\n<\/p><\/div>\n

\n
\n From research to
\n Real-World Impact<\/strong>\n <\/div>\n
\n <\/span>
\n <\/span>
\n <\/span>
\n <\/span>
\n <\/span>
\n <\/span>\n <\/div>\n<\/p><\/div>\n<\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"

IL PROGETTO Large Language Models per il controllo di Sistemi informativi Generazione automatica di testo, accesso a basi di conoscenza e supporto alle decisioni. IL PROGETTO Di cosa si occupa SIGENERA nasce con l\u2019obiettivo di applicare le potenzialit\u00e0 dell\u2019Intelligenza Artificiale generativa e dei Large Language Models (LLM) per migliorare la gestione, l\u2019utilizzo e l\u2019accesso alle informazioni all\u2019interno dei sistemi informativi. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"class_list":["post-407","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t