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May 7, 20260 citationsOpen Access

DataPilot: An Autonomous AI-Powered Data Analysis and Visualization Platform

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KVKamalveni VMMMalini MPSPriya Dharshini S

Key Points

  • To develop an autonomous platform that performs comprehensive data analysis and visualization.
  • Full-stack AI web application integrating automated exploratory data analysis and visualization tools.
  • Users can upload CSV or Excel datasets for instant statistical profiling.
  • Utilizes natural language querying and Python code generation for user-friendly interaction.
  • Achieves over 96% accuracy in query response correctness.
  • Improves usability in data analysis compared to conventional methods.
  • Provides quick insights through AI-generated analysis.

Abstract

The exponential growth of structured data across industries has created an urgent demand for intelligent tools capable of autonomous analysis, interpretation, and visualization without requiring specialized programming expertise. DataPilot is a full-stack, AI-powered web application that bridges the gap between raw datasets and actionable insights. The system integrates automated exploratory data analysis (EDA), interactive visualization, natural language querying, Python code generation, and one-click PDF report generation into a unified platform. Users upload CSV or Excel datasets and immediately receive statistical profiling, outlier detection, correlation analysis, and AI-generated insights. DataPilot leverages the Anthropic Claude API for natural language understanding, Plotly for dynamic chart rendering, and ReportLab for professional PDF report generation. Experimental evaluation confirms high accuracy in data profiling, query response correctness exceeding 96%, and superior usability compared to conventional analytics workflows.

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Cite This Study

V et al. (2026) studied this question.

synapsesocial.com/papers/69fbefef164b5133a91a417bhttps://doi.org/10.5281/zenodo.20033184
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