Quality Assurance Testing Projects in SuratQuality Assurance Testing Projects in SuratVEDV
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. 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. 
