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Biblioteca Digital Minerva
Bachelor thesis . 2025
License: CC BY NC ND
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Sistema inteligente para la automatización de procesos documentales usando IA, OCR y recuperación semántica de información

Authors: Cascavita Rodríguez, Camilo Andrés; Useche Niño, Yessica Katherine;

Sistema inteligente para la automatización de procesos documentales usando IA, OCR y recuperación semántica de información

Abstract

Este proyecto tiene como objetivo desarrollar un sistema basado en inteligencia artificial (IA) para optimizar procesos documentales mediante la automatización de la extracción y análisis de información contenida en documentos. El sistema utilizará técnicas avanzadas de procesamiento de lenguaje natural y reconocimiento óptico de caracteres (OCR) para interpretar documentos en diversos formatos, como PDFs, archivos de Word e imágenes escaneadas, y responderá consultas específicas sobre su contenido de manera rápida y precisa. El proyecto aborda una necesidad crítica en la gestión de información como lo es la pérdida de productividad causada por el tiempo dedicado a la búsqueda y además un procesamiento manual de documentos. La solución propuesta optimizará la gestión documental en sectores como el legal, financiero, de recursos humanos y de salud, donde el manejo eficiente de grandes volúmenes de documentos es esencial para la toma de decisiones y el cumplimiento normativo.

The objective of this project is to develop a system based on artificial intelligence (AI) to optimize document processes by automating the extraction and analysis of information contained in documents. The system will use advanced natural language processing and optical character recognition (OCR) techniques to interpret documents in various formats, such as PDFs, Word files and scanned images, and will answer specific queries about their content quickly and accurately. The project addresses a critical need in information management such as lost productivity caused by time-consuming search and manual document processing. The proposed solution will optimize document management in sectors such as legal, finance, human resources and healthcare, where the efficient handling of large volumes of documents is essential for decision making and regulatory compliance.

Ingeniero de Sistemas

Pregrado

Country
Colombia
Related Organizations
Keywords

Prototipos de software, Large Language Models (LLM), Artificial Intelligence (AI), Optical Character Recognition (OCR), Natural Language Processing (NLP), Ingeniería de sistemas, Inteligencia artificial, Desarrollo de software de aplicación, Procesamiento de Lenguaje Natural (PLN), Sistemas de recolección automática de datos, Inteligencia Artificial (IA), Reconocimiento Óptico de Caracteres (OCR), Modelos de Lenguaje de Gran Tamaño (LLM)

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green