1st Place
QAE2E: AI-Powered QA Pipeline
Tarun Babbar
Everything the batch shipped: ten winners, 33 projects with a live demo and a public repository, and all 41 entries. Every screenshot below is the project as it actually runs.
Judged on what actually ran. Top five took prize money.
Tarun Babbar
Nitin Gawali
Sakshi Khandelwal
Abhishek Raushan
Ashrith Panduranga Rao
Niraj Mehta
Atish Mane
Sathish Kumar A S
Dheeraj Reddy
Dhanush Chikkamade Gowda
P N V S Vivek
Every shipped project, with a screenshot. Click any image to enlarge.
The full roster, in submission order.
| # | Who | The idea | Links |
|---|---|---|---|
| 01 | P N V S Vivek VIsionTestAI |
An autonomous, multi-modal QA studio that turns interaction flows and DevTools recordings into Page Object Model classes, Playwright specs, and Cucumber BDD suites with visual self-healing. | linklink |
| 02 | Tarun Babbar QAE2E: AI-Powered QA Pipeline |
A six-agent pipeline that takes a requirement end-to-end — test case generation, Playwright automation, execution, and release confidence — with an AI judge scoring and refining every step. | linklink |
| 03 | Sakshi Khandelwal WorkPulse |
Uses the Adzuna Job API and AI to match fresh IT job listings against a user's profile, explain skill gaps, and optimize their resume for ATS alignment. | linklink |
| 04 | Shivani Singh VERDICT |
Test failure intelligence for Playwright — 20 deterministic rules establish what happened across CI runs, AI interprets it, and a guard verifies every claim is grounded in evidence. | linklink |
| 05 | Nitin Gawali AI QA Detective |
Automates failure investigation — feed it logs, stack traces, and screenshots and it returns a scored root-cause analysis, regression tests, and a release GO / NO-GO recommendation. | linklink |
| 06 | Atish Mane Playwright AI Studio |
Connects AI coding assistance directly to the live browser, so a broken locator can be inspected and patched in place instead of tabbing away to fix the suite by hand. | linklink |
| 07 | Abhishek Raushan TraceFix AI |
Diagnoses failing tests and noisy CI logs by clustering failures into real root causes locally, then producing a grounded diagnosis, confidence score, and production-ready fix. | linklink |
| 08 | Niraj Mehta QA Nexus AI |
Turns a spec (URL, PDF, Jira issue) into reviewable test cases and a runnable Playwright suite, grounding every selector against your real DOM and existing page objects. | linklink |
| 09 | Chethan Dileep TalentFlow AI |
An end-to-end interview and candidate management platform tracking requirements, candidates, interviews, and hiring outcomes from a centralized dashboard. | linklink |
| 10 | Sathish Kumar A S QA Resume AI |
An evidence-grounded resume intelligence platform for QA professionals — extracts verified facts, scores skill coverage, and rewrites content through an anti-hallucination validator. | linklink |
| 11 | Ashrith Panduranga Rao Parity Scope |
An AI vision model compares legacy vs. new UI screenshots to catch layout, data, and styling mismatches, returning a match score and one-click Jira-ready bug write-ups. | linklink |
| 12 | Govind QAGenX AI |
Helps teams analyze bugs, generate test cases, test APIs, understand failures, create test data, and automate repetitive QA workflows. | linklink |
| 13 | Nancy Bhardwaj AssertPilot — MCP Agent QA & Security Observatory |
Tests what AI agents actually do, not just what they say — agent-execution observability, MCP/tool-call validation, prompt-injection testing, and risk classification. | linklink |
| 14 | Virendra Patel ATS Resume Builder |
Reads an uploaded resume and job description, filters out missing keywords and skills, and lets the user select which ones to add back into their resume. | linklink |
| 15 | Parag Waghmare EDI File Generator & Validator |
Generates and validates EDI files automatically. | linklink |
| 16 | Mrutyunjay Mallik Release Risk Analysis |
Analyzes pass/fail/abort test results by component and priority, visualizes them as bar and pie charts, and supports Go/No-Go release decisions with configurable thresholds. | linklink |
| 17 | Dhanashree QA_AI_Solution |
An end-to-end QA agent — uploads a PRD, generates scenarios and test cases, builds Playwright scripts, executes them live, logs Jira defects, and emails a results report. | linklink |
| 18 | Kalpesh Pingale Requirements to Test Gap Analyzer |
Identifies gaps between written requirements and existing test coverage. | linklink |
| 19 | Dheeraj Reddy OmnyGO |
Turns plain-English test descriptions into real browser tests — plans the steps, drives a live Chromium browser, and verifies whether the goal was actually achieved. | linklink |
| 20 | Archana Nathe TestSense AI |
Transforms requirements into a structured, execution-ready testing strategy — scenarios, detailed test cases, negative/edge/security cases, and coverage-gap detection. | linklink |
| 21 | Rohit Mane Visual Regression QA Coach |
Compares before/after screenshots, flags likely UI regressions, and recommends whether a change is safe to ship — cutting down manual visual review work. | linklink |
| 22 | Shashank Verma TestCaseAI — Jira Story to Test Case Generator |
Connects to Jira, reads user stories, and auto-generates structured test cases — exportable to CSV, Excel, JSON, PDF, TestRail, or Azure DevOps. | linklink |
| 23 | Manish Mishra QA Workflow Dashboard |
A centralized workspace guiding QA teams through story analysis, test planning, exploratory testing, automation generation, execution, self-healing, and reporting. | linklink |
| 24 | Sankar Cheerala AI Testcase Generator |
Generates test cases directly from Jira and GitHub issues. | linklink |
| 25 | Dhanush Chikkamade Gowda SpecCraft AI |
Ingests visual bug screenshots and uses multimodal vision models to synthesize Playwright regression code, Jira tickets, GitHub Issues, and root-cause diagnostics in seconds. | linklink |
| 26 | Om Gutty QAGuard AI |
Transforms requirements into governed, traceable testing artifacts — with a human approving every step before anything ships to automation. | linklink |
| 27 | Patel Vishesh Asheshkumar QA API Agent |
Combines single API execution, AI-powered analysis, Excel-based bulk test runs, and instant shareable reporting in one easy-to-use platform. | linklink |
| 28 | Namrata Roy Jira Integrated RAG Explorer |
Ingests a Jira ticket, embeds its content, and answers analysis or test-case questions strictly from that ticket via a visible retrieve-then-generate pipeline. | linklink |
| 29 | Paritosh Panigrahi Test Generation App |
Generates Playwright automation tests and structured manual test cases from a requirement, a URL, a codebase, a PRD, a Jira ticket, or a Confluence page. | linklink |
| 30 | Khan Bilal AI Requirement Doctor |
Diagnoses requirement defects — ambiguity, incompleteness, inconsistency — connecting business analysis, development, and QA in a single workflow before they become bugs. | linklink |
| 31 | Guruprasad Shrinivas Ganiga TestPlanBuddy |
A test-case creation tool built around the B.L.A.S.T framework, demonstrated against a sample enhancement story. | linklink |
| 32 | Ishank Walia OTT DRM AI Troubleshooting Copilot |
Diagnoses OTT playback and DRM failures using deterministic rules and Pinecone-powered RAG, ranking probable root causes and exporting diagnosis reports as PDFs. | linklink |
| 33 | Kiranmai Wunnava Venkata ETL QA Buddy |
Turns plain-English QA rules into runnable pytest tests against a sample ETL database, with instant pass/fail results, a schema explorer, and an 18-test regression suite. | linklink |
| 34 | Rohan Deo QA Helper |
Connects with Jira, Confluence, and an LLM to generate QA artifacts and analyze missed defects. | linklink |
| 35 | Gurpreet Singh AI Test Case Generator Buddy |
Analyzes real Jira stories, design documents, and UI/Figma screenshots to generate structured test cases covering functional, UI, security, and accessibility scenarios. | linklink |
| 36 | Narayan Boolchandani Fantasy Team Builder |
A fantasy sports team-builder app built for the hackathon. | linklink |
| 37 | Rekha Govardhanan AI QA Copilot |
Transforms requirements into test plans, test cases, coverage analysis, bug triage, and test closure summaries to accelerate QA teams. | linklink |
| 38 | Deerasameera.Ch AIQAEngineer Agent |
An AI QA engineering agent built for the hackathon. | linklink |
| 39 | Sujan Mahapatra Prompt Testing |
A tool for testing prompts against different evaluation criteria. | linklink |
| 40 | Aradhana Mahanta Accessibility Copilot Analyzer |
Analyzes pages for accessibility issues — missing labels, contrast problems, keyboard traps — and suggests fixes using WCAG 2.0 / 2.1 guidelines. | linklink |
| 41 | Shashikala TestNexus AI |
An enterprise-grade QA automation platform that generates test cases from Jira requirements, plus Playwright test generation, failure analysis, and defect reporting via OpenAI/Groq. | linklink |