@ifwhotcheetoss

I’ve implemented dataset profiling and data quality modules for IntelliMl. I’ve added APIs to analyse uploaded datasets by generating metadata(rows, cols etc).With this I’ve implemented data quality checks for missing values, duplicate rows and class distribution analysis

I’ve build a backend foundation for IntelliML in which I’ve used fastapi with a clean modular architecture. I’ve implemented dataset uploading functionality with automatic metadata storage, SQLITE, SQLAlchemy. The backend is configured with swagger api docs and I’ve started dataset profiling module to generate statistics