SMARTFEED: A LOW-CODE TOOL FOR AUTOMATED CONTENT GENERATION ON LINKEDIN USING ARTIFICIAL INTELLIGENCE

This article presents the development of the smartFEED system, a web application built with low-code tools to automate strategic content creation on LinkedIn, especially aimed at micro and small businesses (SMBs) and content creators. The goal is to democratize access to high-quality digital communication, promoting greater efficiency, visibility, and professional authority. The article outlines the main requirements and functionalities of the system, designed to meet different user profiles with varying needs for digital positioning. The data modeling adopts relational structures and use-case-oriented flows, covering operations such as registration, topic input, tone selection, and automatic generation of text, hashtags, and visual scripts. Technologies such as FlutterFlow, Figma, and the OpenAI GPT API were integrated to ensure stability, customization, and accessibility. Content generation is based on artificial intelligence and structured into reusable blocks, allowing users to maintain a consistent presence on the platform without needing advanced technical knowledge. Digitizing the content creation process reduces errors, standardizes communication, and speeds up strategic personal marketing decisions. The system also promotes user autonomy and contributes to digital inclusion in a professional context. As a future improvement, integration with engagement metric systems and other social networks is planned. The article highlights the strategic role of technology in building digital reputation and strengthening professional presence in algorithm-driven environments.

Authors

Publication Details

Journal
Aracê.
Published
2025-10-07
DOI
https://doi.org/10.56238/arev7n10-094
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

SMARTFEED: A LOW-CODE TOOL FOR AUTOMATED CONTENT GENERATION ON LINKEDIN USING ARTIFICIAL INTELLIGENCE

Tatiana Maíta Alves Conceição, Rita Almeida, Ricardo Marciano dos Santos, Marcella Santos et al.
Aracê.
Semantic Web and Ontologies
article

SMARTFEED: A LOW-CODE TOOL FOR AUTOMATED CONTENT GENERATION ON LINKEDIN USING ARTIFICIAL INTELLIGENCE

Tatiana Maíta Alves Conceição, Rita Almeida, Ricardo Marciano dos Santos, Marcella Santos, Alfredo Nazareno Pereira Boente, Vinícius Marques da Silva Ferreira, Renata Miranda Pires Boente, Luciana Ferreira Mattos Colli
article en

Abstract

This article presents the development of the smartFEED system, a web application built with low-code tools to automate strategic content creation on LinkedIn, especially aimed at micro and small businesses (SMBs) and content creators. The goal is to democratize access to high-quality digital communication, promoting greater efficiency, visibility, and professional authority. The article outlines the main requirements and functionalities of the system, designed to meet different user profiles with varying needs for digital positioning. The data modeling adopts relational structures and use-case-oriented flows, covering operations such as registration, topic input, tone selection, and automatic generation of text, hashtags, and visual scripts. Technologies such as FlutterFlow, Figma, and the OpenAI GPT API were integrated to ensure stability, customization, and accessibility. Content generation is based on artificial intelligence and structured into reusable blocks, allowing users to maintain a consistent presence on the platform without needing advanced technical knowledge. Digitizing the content creation process reduces errors, standardizes communication, and speeds up strategic personal marketing decisions. The system also promotes user autonomy and contributes to digital inclusion in a professional context. As a future improvement, integration with engagement metric systems and other social networks is planned. The article highlights the strategic role of technology in building digital reputation and strengthening professional presence in algorithm-driven environments.

Aracê.Vol. 7(10)
Openalex Percentile: Top 85%
Semantic Web and Ontologies
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SMARTFEED: A LOW-CODE TOOL FOR AUTOMATED CONTENT GENERATION ON LINKEDIN USING ARTIFICIAL INTELLIGENCE — Tatiana Maíta Alves Conceição, Rita Almeida, et al. · Aracê. (2025) | TGRS Research Map | TGRS