Freelance QA Testers in IndiaFreelance QA Testers in India
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Kaushik Bhingradiya's avatar
Kaushik Bhingradiya
Surat, India
Mobile MVP Developer for Startups | Flutter, React Native.
5.0
Rating
5
Followers
Mobile MVP Developer for Startups | Flutter, React Native.
Cover image for GME Time Tracker Application Development
GME Time Tracker Application Development
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12
Cover image for HealthcareLink Mobile App Development
HealthcareLink Mobile App Development
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11
Cover image for RandaLogs Rider — Mobile Delivery
RandaLogs Rider — Mobile Delivery Rider App Overview RandaLogs Rider is a cross-platform mobile application built for delivery riders and courier drivers in Nigeria. The app manages the complete rider journey from phone verification and document approval to receiving nearby delivery jobs, navigation, real-time tracking, customer communication, delivery completion, and cash collection. The application was delivered for both Android and iOS using Flutter. Problem Statement The delivery platform needed an efficient way to assign orders to available riders based on proximity and track each delivery until completion. Riders needed a mobile-first workflow that allowed them to quickly accept jobs, locate pickup and drop-off points, navigate between locations, update delivery status, communicate with customers, and manage Cash on Delivery orders without relying on multiple tools. Solution RandaLogs Rider brings the full delivery workflow into one application. After verifying their phone number, riders complete registration by uploading identity and vehicle documents for approval. Once approved, they can go online, continuously share their location, receive nearby orders in real time, view routes on a map, complete deliveries, and update payment and delivery statuses. Key Features OTP Authentication: Firebase Phone Authentication verifies riders through SMS before account creation. Rider Verification: Riders upload ID and vehicle documents, with access to orders restricted until approval. Online Availability & Live Tracking: Riders can switch online while foreground location services continuously send their position. Nearby Order Assignment: Current rider location is sent to the backend, which assigns nearby delivery requests. Real-Time Order Updates: Socket.IO (http://Socket.IO) keeps location, order state, and delivery activity synchronized. Maps & Navigation: Google Maps SDK and Directions API display pickup/drop-off locations and route polylines. Delivery & COD Management: Riders update pickup and delivery states and record cash collection at the required stage. Customer Chat: In-app messaging allows riders to contact customers without leaving the delivery workflow. Push Notifications: Firebase Cloud Messaging and APNs notify riders about new jobs and order updates. Technical Highlights The app was built with Flutter and Dart, using GetX for state management and dependency injection. A custom REST API handles backend communication, while Socket.IO (http://Socket.IO) supports real-time events. Firebase provides Phone Authentication, Cloud Messaging, App Check, and Crashlytics. Device location is captured through Geolocator, with foreground services maintaining updates while riders are travelling. Challenges & Solutions A key challenge was maintaining reliable live location while handling different Android and iOS permission requirements. The implementation combined native permission flows with foreground location services and required additional work to satisfy Apple’s review requirements. Real-time synchronization between rider location and order status also required careful Socket.IO (http://Socket.IO) handling. Results & Impact The two-person team completed the project in approximately two months and shipped the rider application on both Android and iOS. The finished product supports the complete operational flow from rider onboarding and verification through order assignment, navigation, delivery tracking, communication, and cash collection. Key Takeaway RandaLogs Rider demonstrates how real-time location, logistics workflows, mapping, authentication, and payment-status handling can be combined into a focused mobile experience built for riders working continuously on the move.
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Cover image for VEDV One app, four roles, turning
VEDV One app, four roles, turning printed textbooks into a connected school platform. Overview VEDV is a Flutter app (iOS, Android, web/desktop) that serves as VEDV Publication's all-in-one school platform. From a single codebase it presents four different experiences based on login , Student, Teacher, School Admin, or Guest/Parent with UI gated by role flags. At its core, it turns printed textbooks into connected digital lessons: students scan a QR code on a physical book and land directly on the matching video, PDF, quiz, or test. Around that sits a full learning library, three Gemini-powered AI assistants, and a School Hub that auto-generates school documents all layered over one educational-safety policy that keeps AI responses age- and subject-appropriate. For teachers and admins, the same app doubles as a school-operations backbone: attendance, marks, marksheet and ID-card generation, certificates, fees, notices, calendars, and real-time 1:1 chat. The Problem Schools run on disconnected tools one system for content, another for attendance, spreadsheets for fees, WhatsApp for parent updates with no link between a printed textbook and any digital follow-up. A publisher's book is a dead end once printed. The result is duplicated data entry and no single, trustworthy view into a child's attendance, results, or fees. VEDV bridges that gap: one role-aware app where the QR scan turns a static book into an interactive lesson, and the same platform runs the school's day-to-day operations so content and operations reinforce each other instead of living in silos. Key Features QR Book Scan — Scans a printed textbook's QR code and opens the exact matching content (video, PDF, quiz, audiobook), filtered by role, students see learning material, teachers additionally get lesson plans and answer keys. AI Assistant with Chapter-PDF & Multi-Format Export (Unique) — Type, speak, or photograph a question; the AI answers grounded in the actual chapter PDF and can export a real downloadable worksheet, lesson, or presentation as PDF, PowerPoint, or Word. School Hub AI Design Generator (Unique) — Describes a poster, ID card, or notice in plain language, asks smart follow-up questions, then generates a print-ready design using the school's real logo and brand colors. STEAM-L AI Tutoring Suite (Unique) — Six subjects (Science, Tech, Engineering, Arts, Math, Languages), each with an AI tutor, auto-generated quizzes, an English corrector, and a full voice-mode conversation gamified with streaks, XP, and hearts. Tech Stack Mobile: Flutter · Dart · GetX (state, routing, DI) · GetStorage (local persistence). Backend: REST API via Dio · Laravel · MySQL · Firebase (Auth, Realtime Database for chat/presence, Cloud Messaging). AI: Google Gemini (routed through a shared safety-guardrail layer). Infra: GitHub · Sentry (crash/performance monitoring). Results & Key Takeaways AI responses are unreliable in raw form the real fix was building a robust clean-up layer that recovers useful content even from malformed AI output, rather than trusting the model directly. Never hard-wire a single AI model each request tries a preferred model and falls back through alternatives with retries, since models get updated or retired often. Security gap flagged for next iteration: AI API keys currently live inside the app itself and should move server-side before wider distribution. The same AI-handling logic (retries, fallbacks, safety rules) was duplicated across features next step is consolidating it into one shared component. The "one app, four roles" model worked well but role-permission logic is scattered across screens recommend centralizing role management into a single control point.
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QA Tester(4)
Yash Dev's avatar
Yash Dev
India
Mobile Engineer | Tech Consultant | Deputy Manager | UAE
$1k+
Earned
1x
Hired
5.0
Rating
27
Followers
Mobile Engineer | Tech Consultant | Deputy Manager | UAE
Cover image for Template based design tool | Mobile app
Template based design tool | Mobile app
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23
Cover image for Restaurant App
Restaurant App
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29
Cover image for Stock Trading App
Stock Trading App
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25
Cover image for Brand Design & Digital Transformation in Concrete specialist
Brand Design & Digital Transformation in Concrete specialist
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26
QA Tester(3)
Manoj Rana's avatar
Manoj Rana
Dadri, India
A Full Stack QA[6+ YOE] to perform End to End testing.
New to Contra
A Full Stack QA[6+ YOE] to perform End to End testing.
Cover image for A good QA is not
A good QA is not someone who just validates Figma vs. UI. A good QA is someone who asks questions. Do we really need this? Why are we building it this way? Can we simplify it? Can we add this as well? Can we solve this in another way? What happens in this edge case? How will this impact the user? QA should not just find bugs after the feature is built. A strong QA challenges the requirements, thinks about the user, identifies gaps, and helps the team build a better product, not just a bug-free one. Testing is not just validation. Testing is questioning. 👏 #QualityAssurance #SoftwareTesting #QA #SoftwareQuality #Testing
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Cover image for 🚀 Need reliable test automation
🚀 Need reliable test automation for your web application? I recently set up a complete CI pipeline using Jenkins + Selenium + Java + TestNG + Maven, where Jenkins automatically: ✅ Pulls the latest automation code from Git ✅ Executes end-to-end test suites ✅ Generates detailed HTML reports ✅ Provides quick visibility into test results and failures I help businesses build and maintain: 🔹 UI Test Automation Frameworks 🔹 CI/CD Integration with Jenkins 🔹 Regression Test Automation 🔹 Performance Testing with JMeter & k6 🔹 Custom QA Automation Solutions If you're looking to reduce manual testing efforts and improve release confidence, let's connect. #QAAutomation #SDET #Selenium #Jenkins #TestAutomation #Java #TestNG #Maven #CI #SoftwareTesting #PerformanceTesting #WebAutomation
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Cover image for Professional End-to-End Test Automation Framework
Professional End-to-End Test Automation Framework for SauceDemo A production-ready Playwright test automation suite built with TypeScript, demonstrating industry best practices for modern QA automation. 🎯 KEY FEATURES: ✅ Page Object Model (POM) architecture for maintainable test code ✅ Comprehensive test coverage including: • User login flows (valid/invalid credentials, locked accounts, performance users) • Complete e-commerce purchase workflows • Multiple user personas & edge cases ✅ TypeScript for type-safe, scalable test development ✅ Data-driven testing with JSON test data management ✅ Playwright test runner with HTML reporting ✅ Cross-browser test capability configuration 📂 PROJECT STRUCTURE: • Page Objects (web/pages/) - LoginPage, BuyProductPage • Test Cases (web/testcases/) - Login tests, Purchase flow tests • Test Data (dataObjects/testData/) - User credentials & scenarios • Configuration files (playwright.config.ts, tsconfig.json) 🔧 TECHNOLOGIES: • Playwright 1.61.0 • TypeScript • Node.js • HTML Test Reports
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Cover image for Built a Selenium Automation Framework
Built a Selenium Automation Framework using Java and TestNG for automated web application testing. Implemented Page Object Model (POM), DataProvider-based parallel execution, reusable utility classes, cross-browser support, and automated validations for multiple application modules. Integrated assertions, browser management, and scalable framework design to improve test execution efficiency and maintainability. github - https://github.com/mrmanojrana431/saucedemo-selenium-java-automation-test
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QA Tester(5)
Shubham Dhole 's avatar
Shubham Dhole
Pune, India
Reliable QA Testing for Your Project
Reliable QA Testing for Your Project
Cover image for Airport Meet and Assist. Fast Track arrival and departure assist
Airport Meet and Assist. Fast Track arrival and departure assist
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18
Cover image for Feature Ecommerce Platform
Feature Ecommerce Platform
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9
Cover image for Intelligent
Intelligent
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21
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QA Tester(3)
Dhanashree Barde's avatar
Dhanashree Barde
India
QA Expert: Ensuring Software Quality
QA Expert: Ensuring Software Quality
Cover image for Software Test Engineer
Software Test Engineer
0
4
Cover image for Lead QA Engineer
Lead QA Engineer
0
5
Cover image for Software QA Engineer
Software QA Engineer
0
3
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QA Engineer
0
5
QA Tester(4)