📚 Synthetic Datasets: Education & EdTech

The web app creates realistic, customizable datasets for educational analysis, testing, or machine learning, supporting up to 1 million records per dataset and 2TB of data with Python scripting. Featuring real-time data generation (refreshed every 5 seconds), ETL processing (cleaning, deduplication, validation, enrichment), and Chart.js-powered dashboards, it covers 13 key areas like student demographics, academic performance, engagement, instructor quality, and career outcomes, with export options in CSV, Excel, and JPG. Ideal for optimizing educational platforms, building ML models, or simulating EdTech data—contact me for a tailored dataset for any industry!