EmbodiData vs DB RelationalAlgebra

EmbodiData is an iPhone-based embodied AI data capture tool. It allows users to record first-person video, device motion signals, and structured session metadata during user-started capture sessions. The app is designed for embodied AI research, robotics data collection, and multimodal dataset preparation. Captured data can be reviewed locally and exported by the user for downstream analysis and model development. EmbodiData only records during user-initiated sessions and provides clear controls for starting, stopping, reviewing, and exporting captured data.

A native iPad and iPhone app that converts a SQL query typed, pasted, or imported from a .sql file into relational algebra, tuple relational calculus and domain relational calculus. Each notation gets a step by step derivation, a final oneline formula, and an interactive diagram an operator tree for the algebra, a quantifier scope tree for the calculus and a fourth view stacks all three against the same query. Whatever SQL asks for that a notation cannot express exactly is reported rather than quietly approximated.