Web application QA autopilot — Jira to Playwright, powered by Navya-Nyāya, PIML and quantum-enabled deep learning.
AutoFlow is an end-to-end web application test automation suite. A Jira ticket flows through a Navya-Nyāya inference engine, becomes Gherkin, compiles into a Cucumber BDD framework, and executes via a Playwright wrapper — with physics-informed ML for flake prediction and quantum-enabled deep learning for self-healing locators and visual diff.
Pakṣa · Sādhya · Hetu · Dṛṣṭānta · Nigamana mapped to acceptance criteria — auditable, citation-grounded test inference.
Given/When/Then auto-generated, step definitions emitted into a typed Cucumber-JS BDD project.
Page-object factory, parallel shards, trace + video + HAR, cross-browser Chromium · WebKit · Firefox.
Physics-informed models predict flake & runtime; QDL (variational hybrid nets) self-heals locators and ranks visual diffs.
Feature: Checkout — PROJ-1428
@smoke @piml-stable
Scenario: User completes payment with saved card
Given a logged-in user with a saved Visa card
When they add "SKU-991" to cart
And proceed to checkout
Then the order is confirmed within 2s
And a receipt is emailedDatasheets are issued to verified defence, government and integrator contacts only. Submissions are logged and reviewed by the ParaMedha programme office.
ParaMedha leads as prime integrator and AI/fusion IP owner. Consortium partners include BEL, SAMEER, Tonbo Imaging, IIT Madras CAI, Bharat Dynamics and DRDO labs.
PhD, UTS Sydney · Assistant Professor, BITS Pilani. Three Springer monographs, ten peer-reviewed papers on adversarial machine learning.
Indigenous. Aatmanirbhar Bharat. Built for the next Operation Sindoor.