Design and implementation of batch file intelligent summary assistant based on AIGC+RPA

This paper presents the design and implementation of a batch file intelligent summary assistant based on AIGC and RPA. This system aims to solve the problem of large human resource consumption and low efficiency in batch document processing. By combining the ability of text summary generation of AIGC technology and efficient document processing ability of RPA technology, it can realize the rapid and accurate summary of a large number of documents. This project describes in detail the overall process design of the system, the specific implementation methods of AIGC module and RPA module, summarizes the research results, and puts forward the future research direction. This study provides new ideas and technical support for improving the efficiency of batch file processing.

Authors

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3711129.3711224
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and implementation of batch file intelligent summary assistant based on AIGC+RPA

Meirong Lin
Advanced Computational Techniques and Applications
article

Design and implementation of batch file intelligent summary assistant based on AIGC+RPA

Meirong Lin
article en

Abstract

This paper presents the design and implementation of a batch file intelligent summary assistant based on AIGC and RPA. This system aims to solve the problem of large human resource consumption and low efficiency in batch document processing. By combining the ability of text summary generation of AIGC technology and efficient document processing ability of RPA technology, it can realize the rapid and accurate summary of a large number of documents. This project describes in detail the overall process design of the system, the specific implementation methods of AIGC module and RPA module, summarizes the research results, and puts forward the future research direction. This study provides new ideas and technical support for improving the efficiency of batch file processing.

Openalex Percentile: Top 75%
Advanced Computational Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Design and implementation of batch file intelligent summary assistant based on AIGC+RPA — Meirong Lin · (2024) | TGRS Research Map | TGRS