A WEB APPLICATION TOOLS COMPRISING UTILIZATION OF AN ARTIFICIAL INTELLIGENCE

This paper presents the design and implementation of a Python-based web application for automated data analysis using artificial intelligence. The tool allows users to upload datasets, clean data, select and train machine learning models, and apply those models to new data. Built with Streamlit and deployed on Oracle Cloud, it integrates libraries such as pandas, matplotlib, and auto-sklearn. The study highlights model performance tuning and the integration of generative AI (Gemini) to interpret model results.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-26
DOI
https://doi.org/10.5281/zenodo.15519378
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
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article

A WEB APPLICATION TOOLS COMPRISING UTILIZATION OF AN ARTIFICIAL INTELLIGENCE

Zenodo (CERN European Organization for Nuclear Research)
Computational Physics and Python Applications
article

A WEB APPLICATION TOOLS COMPRISING UTILIZATION OF AN ARTIFICIAL INTELLIGENCE

article en

Abstract

This paper presents the design and implementation of a Python-based web application for automated data analysis using artificial intelligence. The tool allows users to upload datasets, clean data, select and train machine learning models, and apply those models to new data. Built with Streamlit and deployed on Oracle Cloud, it integrates libraries such as pandas, matplotlib, and auto-sklearn. The study highlights model performance tuning and the integration of generative AI (Gemini) to interpret model results.

Zenodo (CERN European Organization for Nuclear Research)
Bratislava University of Economics and Business (SK)
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Computational Physics and Python Applications
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A WEB APPLICATION TOOLS COMPRISING UTILIZATION OF AN ARTIFICIAL INTELLIGENCE · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS