Data Analytics Automation · Python Application

AI Data Report Generator

An automated dataset analytics platform that transforms raw CSV files into professional data quality reports — profiling, quality checks, outlier detection, and PDF output.

Password-protected demo — request access via email.

Problem Statement

Manual exploratory data analysis and data-quality reporting can take a significant amount of time on every new dataset. Analysts repeatedly check for missing values, duplicates, and outliers, and then write up findings manually. This application automates that workflow into a single upload-and-download report.

Workflow

CSV Upload→ Dataset Profiling→ Quality Checks→ Outlier Analysis→ Health Score→ PDF Report

Features

  • CSV dataset upload
  • Automated dataset profiling
  • Missing value detection
  • Duplicate row detection
  • Outlier detection
  • Dataset health score
  • Column-wise analysis
  • Numeric statistics (mean, median, standard deviation)
  • Memory usage analysis
  • Professional PDF report generation

Example Report (from Project Description)

55,000Rows Analyzed
48,661Missing Values Detected
4,718Duplicate Rows Identified
1,500Outliers Detected

These figures are from an example dataset used to demonstrate the application. They are not universal application performance statistics.

Technologies Used

PythonFlaskPandasNumPy SciPyReportLabGunicornRender

Planned Future Improvements

  • AI-generated insights (planned, not yet implemented)
  • Dataset comparison (planned)
  • Automated cleaning suggestions (planned)

The above are planned features and are not yet part of the completed application.

Project Resources