GenAI_ModelHub: Generative AI powered Data Science Automation platform

The "GenAI-ModelHub" project is intended to dramatically streamline and automate the major parts of the data science workflows, offering highly powerful tools that accelerate complex tasks using the best AI technologies available. It will primarily target issues related to querying, model building, and optimization while integrating the SQL and Pandas data manipulation processes. It simplifies hyperparameter tuning and optimizes deep learning architectures for both novice and expert users by automating the creation of baseline models. At the heart of GenAI-ModelHub's functionality are Large Language Models1 (LLMs) and Retrieval-Augmented Generation2 (RAG). These technologies power an intelligent, interactive chatbot that can assist users in real time, automate data preprocessing steps, and generate code for model training—all tailored to the specific needs and data of the user. This approach helps users quickly move from data querying to model training, saving time and reducing the technical expertise required for complex configurations.

Authors

Publication Details

Journal
Journal of Emerging Technologies and Innovative Research
Published
2025-01-01
DOI
https://doi.org/10.56975/jetir.v12i6.563737
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

GenAI_ModelHub: Generative AI powered Data Science Automation platform

Mrs. Priyanka Patil, Mr. Harshal Anil Mane Mr. Harshal Anil Mane, M. Kale, Mr. Ajinkya Temgire et al.
Journal of Emerging Technologies and Innovative Research
Scientific Computing and Data Management
article

GenAI_ModelHub: Generative AI powered Data Science Automation platform

Mrs. Priyanka Patil, Mr. Harshal Anil Mane Mr. Harshal Anil Mane, M. Kale, Mr. Ajinkya Temgire, Mrs. Arpita Pol
article en

Abstract

The "GenAI-ModelHub" project is intended to dramatically streamline and automate the major parts of the data science workflows, offering highly powerful tools that accelerate complex tasks using the best AI technologies available. It will primarily target issues related to querying, model building, and optimization while integrating the SQL and Pandas data manipulation processes. It simplifies hyperparameter tuning and optimizes deep learning architectures for both novice and expert users by automating the creation of baseline models. At the heart of GenAI-ModelHub's functionality are Large Language Models1 (LLMs) and Retrieval-Augmented Generation2 (RAG). These technologies power an intelligent, interactive chatbot that can assist users in real time, automate data preprocessing steps, and generate code for model training—all tailored to the specific needs and data of the user. This approach helps users quickly move from data querying to model training, saving time and reducing the technical expertise required for complex configurations.

Journal of Emerging Technologies and Innovative ResearchVol. 12(6)
Industry, innovation and infrastructure
Openalex Percentile: Top 86%
Scientific Computing and Data Management
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