• Mr. Satish Kale
• Mr. Ajinkya Temgire
• Mr. Digvijay Mane
• Mrs. Arpita Pol
• Mrs. Priyanka Patil

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.

Large Language Models, Retrieval-Augmented Generation

"GenAI_ModelHub: Generative AI powered Data Science Automation platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.b150-b157, June-2025, Available :http://www.jetir.org/papers/JETIR2506120.pdf

"GenAI_ModelHub: Generative AI powered Data Science Automation platform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. ppb150-b157, June-2025, Available at : http://www.jetir.org/papers/JETIR2506120.pdf