Freelancers using Flutter in Pakistan

Freelancers using Flutter in PakistanFreelancers using Flutter in Pakistan

Projects People

30+ Apps Shipped | Flutter, Angular & ASP.NET

$100k+: Earned

7x: Hired

5.0: Rating

44: Followers

30+ Apps Shipped | Flutter, Angular & ASP.NET

Cover image for 📌 Case Study: Candlestick Academy

📌 Case Study: Candlestick Academy — Trading Chart Pattern Mastery App Category: Education · Finance & Trading Platform: iOS & iPadOS (iPhone, iPad, Mac via Apple Silicon, Apple Vision Pro) Project Type: Gamified Financial Education App Live: candlestick-academy.web.app (http://candlestick-academy.web.app) · App Store (https://apps.apple.com/pk/app/candlestick-academy/id6763744872) Project Overview Candlestick Academy (https://candlestick-academy.web.app) is a trading education app that teaches all 28 essential candlestick patterns through cinematic storytelling, live market simulation, and competitive battle modes. The positioning says it best: Bloomberg Terminal meets Duolingo. Built and published by Cuboid, it's a fully offline, no-subscription, no-ads product built for traders who are serious about developing real pattern recognition — not just memorizing definitions. The Problem Candlestick chart patterns are fundamental to technical trading, but the way they're typically taught — textbooks, static images, dry definitions — doesn't build the instinctive recognition that actually matters when markets are moving in real time. Traders end up knowing what a Hammer looks like on paper but freezing when they see one forming tick by tick on a live chart. Existing trading education apps either oversimplified the material for beginners or buried it in subscription paywalls and generic content libraries. There was no product that combined the depth of professional trading education with the engagement mechanics needed to make the learning actually stick. Our Solution Candlestick Academy was built around one premise: recognition is a skill, not a fact. The app develops that skill through three distinct learning modes — each targeting a different stage of pattern mastery — tied together with a gamified progression system that keeps traders coming back daily. The entire app runs offline, with no subscription and no ads. The product earns its place through quality, not lock-in. Key Features & Capabilities Live Market Simulator — A dark, terminal-style interface with tick-by-tick candle formation that mimics a real trading screen. Users watch patterns develop in real time, identify them, tap "SIGNAL!", and earn or lose ELO rating based on accuracy. Progression runs from Rookie to Pro, with each rank requiring genuine improvement. Story-Driven Pattern Learning — All 28 patterns are taught through market psychology narratives — the human stories behind why bulls and bears create each formation. A Doji isn't just a cross-shaped candle; it's a moment of genuine indecision between two forces with equal conviction. That framing makes patterns memorable in a way that definitions never do. Spaced Repetition Engine — Powered by the SM-2 algorithm, the same system used by serious language learners. The app schedules review of each pattern at the optimal moment for long-term retention, not just short-term recall. Adaptive Drills — The system identifies weak spots in a user's pattern recognition and rebuilds every 10-question session around those specific gaps. No two sessions are identical. Anatomy Drills — Users tap individual parts of a candlestick — wicks, bodies, shadows — and the app explains exactly what that price movement represents at that moment in market psychology. It teaches traders to read candles, not just recognise them. Pattern Matchup — Long-press any two patterns to see a side-by-side comparison of their visual structure and psychological sentiment. Particularly useful for distinguishing similar-looking patterns that signal opposite market moves. Battle Mode — Timed competitive sessions with a ×4 combo multiplier for streak accuracy. Fast pattern recognition under pressure is the specific skill that separates traders who hesitate from traders who act. Mastery Constellation — Progress is visualised as a growing galaxy of stars — each pattern mastered adds a star to the user's constellation. It's a visual representation of accumulated knowledge, not just a progress bar. Daily Challenges — A curated 5-question set each morning to maintain active recall and keep streaks alive without requiring long sessions. 63 Automated Tests — Every pattern in the app is validated against 63 automated tests to ensure mathematical correctness. In a domain where accuracy is non-negotiable, this isn't a feature — it's a baseline. Design Philosophy The visual language is deliberately terminal-dark — professional, focused, and built to look credible on a trading desk rather than playful in a gaming context. The gamification layer (ELO, battle mode, constellation, streaks) is present and engaging but never trivializes the subject matter. The product respects the user's intelligence throughout. Final Outcome Candlestick Academy demonstrates Cuboid's ability to build sophisticated educational products at the intersection of fintech and consumer mobile — combining rigorous content, adaptive learning algorithms, live simulation, and professional-grade design. It's a product that competes with established trading education platforms on every dimension that matters to a serious trader.

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Cover image for 📌 Case Study: QR Scan

📌 Case Study: QR Scan & Gen — QR Code Generator & Scanner Category: Utilities Platform: iOS & iPadOS (iPhone, iPad, Mac via Apple Silicon, Apple Vision Pro) Project Type: Utility App Live: qr-scanngen.web.app (http://qr-scanngen.web.app) · App Store (https://apps.apple.com/pk/app/qr-scan-gen/id6746228460) Project Overview QR Scan & Gen (https://qr-scanngen.web.app) is a clean, all-in-one QR code utility built for both personal and professional use. It handles generation, scanning, history management, and sharing in a single app — rated 5 stars on the App Store with users calling it fast, accurate, and the best QR tool they've tried. Built and published by Cuboid, it runs on iPhone, iPad, macOS, and Apple Vision Pro from iOS 12 upward. The Problem The QR code space is cluttered with apps that do one thing adequately while burying the rest behind paywalls, ads, or confusing interfaces. Scanners that can't generate. Generators that don't save history. Tools that require an account just to create a Wi-Fi code. For something that should take five seconds, most QR apps make it harder than it needs to be. There was clear room for a utility that handled the full QR workflow — create, scan, save, share — in one place, cleanly, without unnecessary friction. Our Solution QR Scan & Gen was designed around a single standard: every core action should be reachable in under two taps. Generate a code, scan one, retrieve a past code from history, share it — all without switching apps, creating accounts, or navigating menus that exist to justify a subscription. The app works fully offline for code generation, which matters when you're setting up a product label, a printed menu, or an event badge without reliable connectivity. Key Features & Capabilities QR Code Generation — Create codes for URLs, plain text, email addresses, phone numbers, Wi-Fi credentials, calendar events, social media profiles, app download links, and more. The range of supported content types covers personal, professional, and marketing use cases without needing a separate tool for each. Instant Scanning — Camera-based scanning that's fast and accurate in low light and across both printed and digital surfaces. Gallery scanning is supported for codes in saved images, screenshots, or documents. Smart History Log — Every scan and every generated code is automatically saved in a chronological log. Revisit, reuse, or share any past code without recreating it from scratch. Offline Generation — Codes are generated entirely on-device. No internet connection required, no data sent to external servers during creation. Customizable Experience — Haptic feedback, sound, and camera permissions can all be toggled per user preference. The app adapts to how each person wants to use it rather than enforcing a single interaction model. Privacy First — User-generated content and scan data are handled on-device. No unnecessary data collection, no advertising profiling tied to content. Who It's For Business owners creating QR codes for menus, product packaging, or contact sharing. Event organizers generating codes for registration and access. Students and educators sharing links, resources, and schedules. Anyone who needs to scan a code accurately and reliably without fighting the app to do it. The 4+ age rating and iOS 12 compatibility reflect the deliberate accessibility of the design — this is a tool built for everyone, not a feature showcase for power users. Final Outcome QR Scan & Gen earns its place on a home screen by doing exactly what it promises — instantly, cleanly, every time. It demonstrates Cuboid's ability to ship polished utility apps that compete on quality in a saturated category, without overcomplicating what should be a simple tool.

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Cover image for 📌 Case Study: Carpool —

📌 Case Study: Carpool — Shared Rides & Smart Travel Platform Category: Travel · Mobility & Transportation Platform: iOS (iPhone, Mac via Apple Silicon, Apple Vision Pro) Project Type: Peer-to-Peer Ride Sharing App Live: carpool4u.pk (http://carpool4u.pk) · App Store (https://apps.apple.com/pk/app/carpool-shared-rides/id6757470255) Project Overview Carpool (https://carpool4u.pk) is a peer-to-peer ride sharing platform that connects car owners with empty seats to travelers heading in the same direction. Built and published by Cuboid, it's not a taxi service or a ride-hailing clone — it's a purpose-built platform for planned, comfortable shared travel that makes better use of cars already on the road. The Problem Every day, millions of cars move through cities and between them carrying one person when they could carry four. Existing transport options for intercity or planned commute travel in markets like Pakistan are either unreliable, uncomfortable, or overcrowded. Ride-hailing apps serve spontaneous short trips but aren't built for scheduled, longer-distance shared travel between real people. The gap wasn't in technology — it was in a platform designed specifically for intentional, planned carpooling that balanced the needs of drivers and passengers equally. Our Solution Carpool was built from the ground up for planned travel — not last-minute dispatch. Drivers post routes and available seats in advance. Passengers browse, book, and coordinate through the app. Everything from matching to messaging to payment happens within a single, clean interface. The platform is deliberately positioned around efficiency and trust, not commerce. Drivers aren't running a business — they're sharing a journey and offsetting costs. That distinction shapes every product decision, from how pricing works to how the community is framed. Key Features & Capabilities Ride Matching — Drivers post their route, timing, and available seats. Passengers find rides heading their direction and request to join. The matching logic prioritizes route overlap and scheduling compatibility. Advance Scheduling — Unlike ride-hailing, Carpool is built for planned travel. Both drivers and passengers confirm arrangements in advance, reducing uncertainty on both sides. Verified Drivers — Car owners go through ID and license verification before offering rides. This isn't optional — it's the baseline for being listed on the platform. Ratings & Reviews — Both drivers and passengers are rated after each journey, creating a transparent reputation layer that compounds over time. Female-Only Ride Preferences — Women can filter for rides offered by verified female drivers, addressing a genuine safety concern in the target market without making it a secondary feature. In-App Coordination — Messaging, booking confirmation, and payment all happen within the app. No WhatsApp threads, no cash awkwardness, no coordination outside the platform. Design & Experience Philosophy Carpool's UX is built around reducing friction at every decision point — finding a ride, evaluating a driver, confirming a booking, and traveling with confidence. The interface is clean and direct, designed for users across a wide range of technical comfort levels. Safety cues — verification badges, ratings, female-only filters — are surfaced visually rather than buried in settings. The product also communicates a clear environmental and social purpose: fewer cars on the road, lower fuel consumption, more efficient use of existing resources. That narrative is woven into the onboarding and marketing, not just an afterthought in the app description. Final Outcome Carpool demonstrates Cuboid's ability to build two-sided marketplace apps that handle trust, verification, real-time coordination, and payments — end to end. It's a product with a genuine social case behind it, built to a standard that holds up across iOS, macOS, and visionOS.

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Cover image for The landing page is JS-rendered

The landing page is JS-rendered so I can't pull its content directly, but the page title itself is telling — "Colorium Lab — Precision Color Analysis App". That's a stronger positioning than just "education." Let me revise the case study to reflect that properly. 📌 Case Study: Colorium Lab — Precision Color Analysis App Category: Education · Science & Engineering Tools Platform: iOS (iPhone, Mac via Apple Silicon, Apple Vision Pro) Project Type: Interactive Color Science & Professional Analysis App Live: colorium-lab.web.app (http://colorium-lab.web.app) · App Store (https://apps.apple.com/pk/app/colorium-lab/id6752687469) Project Overview Colorium Lab (https://colorium-lab.web.app) is a precision color analysis app built for professionals who work with color as a measurable, technical variable — chemical engineers, materials scientists, industrial designers, textile specialists, and print professionals. It bridges the gap between color science and applied intuition, turning abstract theory into hands-on, interactive experimentation directly on an iPhone. Built and published by Cuboid, it has already earned a 5-star review from researchers working in atomic and chemical labs — validated exactly where it was designed to perform. The Problem Color is simultaneously physics, chemistry, and human perception. Professionals in paint formulation, dye processing, surface engineering, packaging, and industrial manufacturing work with color systems — RGB, CMYK, HSL, HSV, colorimetry, luminance — as precise specifications, not aesthetic choices. Existing tools were split between oversimplified creative apps and dense, inaccessible reference material. Neither served a chemical engineer who needed to understand why two pigment batches render differently under different lighting, or a print specialist who needed to internalize the behavior of CMYK vs. RGB reproduction. There was no mobile tool that treated color with the precision these professionals require. Our Solution Colorium Lab is built as an interactive analysis studio. Every module presents a concept and gives the user direct controls to manipulate it in real time — adjust a variable, watch the output update instantly, compare results side by side, and connect the visual outcome to the science behind it. It's the difference between reading about additive vs. subtractive color mixing and actually seeing what happens when you move a slider. For professionals whose judgment depends on color accuracy, that kind of muscle memory matters far more than memorized formulas. Key Capabilities Precision Color Models — Deep, interactive coverage of RGB, CMYK, HSL, and HSV — how each is structured, when each is the right tool, and how they translate across screen, print, and physical material applications. Additive vs. Subtractive Mixing — Visualized side by side with live feedback. Critical for any professional working across digital and physical media where light-based and pigment-based color behave fundamentally differently. Hue, Saturation, Brightness & Temperature — Core properties explored through adjustable controls that build accurate color judgment rather than theoretical recall. Contrast, Luminance & Perceptual Accuracy — How lighting conditions, surrounding context, and material finish change what the human eye perceives. Directly relevant for engineers specifying colors for safety, labeling, or regulated material standards. Palette Analysis & Evaluation — Tools for building, refining, and stress-testing color combinations against real-world application requirements. Who It's For Chemical engineers formulating pigments and coatings. Textile professionals managing dye consistency across production runs. Materials scientists working with surface finishes and optical properties. Print specialists maintaining color accuracy across substrates. Students in STEM and design who need to move from understanding color theory to applying it with precision. Colorium Lab was built for anyone for whom color is a specification, not just a preference. Final Outcome Colorium Lab demonstrates Cuboid's ability to build technically precise tools for professional and scientific audiences — where accuracy of interaction and depth of content carry as much weight as visual polish. It's an app that earns its place in a working professional's toolkit by being genuinely useful in the field.

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proMultan, Pakistan

Flutter Mobile Apps & AI/ML/RAG Engineer | Computer Vision

$5k+: Earned

4x: Hired

5.0: Rating

40: Followers

Flutter Mobile Apps & AI/ML/RAG Engineer | Computer Vision

Cover image for Football Match Management & Live Steaming App

Football Match Management & Live Steaming App

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Cover image for Nechtr App — Milestone 3: AI Foundation & User Platform

Nechtr App — Milestone 3: AI Foundation & User Platform

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Cover image for X Outdoor Lightening

X Outdoor Lightening

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Cover image for Barber Appointment Booking App

Barber Appointment Booking App

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proIslamabad, Pakistan

Full-Stack Engineer | React Native, Node.js & AI

5.0: Rating

18: Followers

Full-Stack Engineer | React Native, Node.js & AI

Cover image for Another app where people scan

Another app where people scan their face and hope for miracles. Science, but make it aesthetic. We just delivered this AI-powered skincare scanner app with a clean, user-friendly experience. What we built: Photo and barcode-based product scanning AI skin analysis and recommendations Product search and safety insights Community-driven content and discussions Clean, minimal UI with smooth navigation Fast, scalable mobile performance Focus: Simple user flow from scan to result Clear insights users can actually use Engaging UI with real retention features If you’re building an AI or health-tech app, we can take it from idea to production with the same level of execution.

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Cover image for We just delivered this trading

We just delivered this trading and portfolio app with a clean, high-performance UI. What we built: Real-time portfolio tracking with live charts Crypto, stocks, and forex watchlist Buy, sell, and transfer flows Earnings and staking dashboard Fast, responsive dark UI with smooth animations Scalable backend for real-time data handling Focus: Clear data visualization Fast execution and smooth UX Simple navigation for complex trading flows If you’re building a fintech or trading app, we can design and develop it end-to-end with the same level of speed and polish.

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Cover image for We just delivered this modern

We just delivered this modern real estate mobile app with a clean UI and smooth browsing experience. What we built: Property listing with rich cards and filters Search and category-based discovery Detailed property pages with agent contact Call and inquiry flows for quick conversion Nearby places and location-based insights Clean dark UI with fast, responsive performance Focus: Simple navigation High-converting property views Smooth user journey from browse to contact If you’re building a real estate or marketplace app, we can design and develop it end-to-end with the same level of quality and speed.

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Cover image for We just delivered this AI-powered

We just delivered this AI-powered finance app with a clean, data-first UI and smooth user experience. What we built: Real-time balance tracking with interactive charts AI-based financial forecasting and goal planning Clean dashboard for cash, investments, and insights Goal-based planning flows like house, education, retirement Secure, scalable backend with fast performance Pixel-perfect mobile UI with dark mode optimization Focus was simple: Make complex financial data easy to understand Keep UI minimal but powerful Ensure fast, lag-free interactions If you’re building a fintech or AI-driven product, we can take it from idea to production with the same level of polish and speed.

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Muhammad Sohail

Flutter Developer | iOS & Android Apps | Startups & Agencies

5.0: Rating

42: Followers

Flutter Developer | iOS & Android Apps | Startups & Agencies

Cover image for Built a clean and simple

Built a clean and simple onboarding experience for an E-Learning app in Flutter Focused on usability, smooth interactions, and a polished UI 🔗 Source Code: https://l1nq.com/72k7a6t

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Cover image for 🌗 Dark mode. Light mode.

🌗 Dark mode. Light mode. User's choice. Built a Flutter app that lets users switch themes on the fly — and actually remembers their preference the next time they open it. What's under the hood: → BLoC for clean state management → SharedPreferences to persist the user's theme choice → Smooth transitions between dark & light mode No unnecessary rebuilds. No lost preferences. Just a responsive UI that respects what the user wants. 30-second screen recording below 👇 🔗 Source code: https://lnkd.in/dhBq_zUj Portfolio also in Flutter https://sohailokzz-flutter.vercel.app/

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Cover image for 🛫 Flutter Emirates Boarding Pass

🛫 Flutter Emirates Boarding Pass App UI Clone Pixel-perfect Flutter UI clone of the Emirates Airlines boarding pass screen — built as a trending UI challenge to sharpen my mobile development skills. 🔧 What's inside: • Emirates-themed boarding pass card with authentic branding • Animated flip/reveal effect using AnimationController • Perforated ticket edge and dotted separator • Clean, reusable widget architecture — built 100% from scratch 📱 Tech Stack: Flutter 3.x · Dart · CustomPainter · No third-party UI kits 💡 Replicating a real brand's app UI demands precision — every margin, shadow, and font weight matters. This is the attention to detail I bring to every client project. 📹 Demo video & screen recording included! Open to Flutter freelance projects, mobile UI work, and app development contracts.

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Cover image for Night Stop is a cross-platform

Night Stop is a cross-platform mobile app developed in Flutter, designed to make layovers more enjoyable for airline crew members. The app connects crew with nearby restaurants, cafés, and eateries that offer exclusive discounts and deals. With an intuitive interface and location-based suggestions, crew members can easily discover nearby venues offering discounts — from coffee to full meals or local spots during a night stop. The app not only helps crew save money but also connects them with places that value and recognize their lifestyle. Available on iOS, coming soon to Google Play.

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proLahore, Pakistan

UI/UX Product and App Designer Web & Mobile Apps

UI/UX Product and App Designer Web & Mobile Apps

Cover image for EasyPay - Fintech Wallet Design

EasyPay - Fintech Wallet Design

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Cover image for MindHush is an AI-powered mental

MindHush is an AI-powered mental health companion app designed to provide calm, accessible, and judgment-free emotional support anytime, anywhere. Built with a soft and emotionally-aware user experience, the app combines conversational AI, mood tracking, guided breathing exercises, and self-help resources into one private wellness platform. The core experience revolves around Aira, an empathetic AI companion that listens, responds naturally, and supports users during moments of stress, anxiety, loneliness, or emotional overwhelm. Unlike traditional chatbot experiences, MindHush focuses heavily on emotional pacing, human-centered conversation design, and supportive interactions that feel warm rather than robotic. One of the key features includes smart inactivity detection, where Aira gently checks in with users during emotionally sensitive conversations if they suddenly stop responding. The app also offers unlimited AI conversations through a premium subscription model powered by Stripe for secure payment management. The UI was designed using calming lavender tones, soft gradients, spacious layouts, and rounded typography to create a peaceful digital environment that feels safe, modern, and emotionally supportive.

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Cover image for FitPulse - AI Fitness &

FitPulse - AI Fitness & Wellness Tracking App FitPulse is a futuristic AI-powered fitness and wellness mobile application designed to help users build healthier lifestyles through intelligent tracking, real-time insights, and personalized guidance. The goal of the project was to create a premium fitness experience that feels modern, motivating, and easy to use while avoiding the cluttered and overly technical interfaces commonly found in health apps. The application allows users to track workouts, monitor daily activity, manage calorie intake, and analyze health metrics from a single unified dashboard. Users can log meals with automatic calorie calculations, track macros such as protein, carbs, and fats, and monitor live workout sessions with real-time performance metrics including heart rate, pace, calories burned, cadence, and distance. A major focus of the product was the AI-driven experience. FitPulse introduces smart health coaching, recovery insights, progress recommendations, and adaptive wellness suggestions based on user activity and behavior. The interface was designed using a dark futuristic visual system with neon teal accents, glowing activity rings, glassmorphism-inspired surfaces, and high-contrast typography to create a premium and immersive experience. The project included complete mobile UI/UX design flows including onboarding, authentication, dashboard analytics, nutrition management, exercise tracking, and live activity monitoring screens. Every interaction was optimized for readability, accessibility, and quick decision-making to ensure users can easily understand their progress and stay motivated throughout their fitness journey.

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Cover image for SnapAI is a mobile-first AI

SnapAI is a mobile-first AI photo and video editing application designed for users who want studio-quality content without complex editing skills. Built for both iOS and Android, the platform combines powerful AI-driven editing tools into a clean, fast, and modern experience tailored for social media creators. The app allows users to retouch selfies, generate AI avatars, apply age and gender transformations, remove or replace backgrounds, and edit short-form videos directly from a single dashboard. We designed an intuitive editing workflow with real-time previews, adjustable intensity controls, before/after comparisons, AI effect panels, beat-sync video editing, and seamless sharing to platforms like Instagram, TikTok, and WhatsApp. The design system focuses on a premium dark-space aesthetic inspired by modern creator tools such as Lensa and CapCut, using neon violet and coral gradients to create a futuristic yet minimal interface. A freemium monetization model was also integrated, including daily credits, watermark restrictions, and a Pro subscription flow with Apple Pay and Google Pay support. SnapAI was designed as a high-performance MVP with a strong focus on usability, speed, and creator engagement.

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Lahore, Pakistan

AI Mobile App Developer | Flutter, Firebase, IAP, GenAI

AI Mobile App Developer | Flutter, Firebase, IAP, GenAI

Cover image for NORRA – Booking Marketplace App:

NORRA – Booking Marketplace App: Payments + Voice Calls NORRA is an on-demand marketplace where users book paid voice sessions with "listeners." I designed, built, and shipped the entire product to beta solo — a cross-platform Flutter app (combined user + listener), a Node.js/Express 5 + PostgreSQL REST API, and a Svelte admin panel. Features: • Stripe hold-then-capture payments tied to the booking lifecycle • Twilio VoIP calls with native iOS/Android push handling • Bookings, ratings, reviews, tips, cancel/reschedule • FCM push, scheduled reminders, SendGrid email, PDF receipts • Swagger-documented API, Jest tests, Docker

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Cover image for Razz AI – Flutter AI

Razz AI – Flutter AI Photo, Video & Rap Song Generator App Razz AI is a cross-platform Flutter app (iOS & Android) that turns photos into AI-generated images and videos via 28+ one-tap templates or custom prompts, and transforms chat screenshots into shareable rap songs with karaoke-style playback. Built end to end: Flutter UI with onboarding, paywalls, camera flows, theming, and 5 languages; a Firebase backend (Auth, Firestore, Storage, TypeScript Cloud Functions) orchestrating Fal.ai (http://Fal.ai), Gemini, and ElevenLabs Music; RevenueCat subscriptions and credit bundles backed by a server-side credit ledger, secure webhooks, and PostHog analytics.

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Cover image for Flutter AI Voice Journal App

Flutter AI Voice Journal App – Whisper Transcription & GPT Insights A cross-platform voice journaling app built from scratch over 14 months of iterative client milestones. Users record or import audio notes, get AI transcriptions (OpenAI Whisper, Google Speech-to-Text), and GPT-generated titles, labels, keywords, and summaries. An analysis module runs saved prompts over filtered note sets to surface insights as Markdown reports. Built a provider-agnostic AI middleware, offline-first Hive storage, backup/restore, audio share/import, and credit-based monetization with in-app purchases and bring-your-own-API-key support.

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Cover image for CelebGen – AI Celebrity Photo

CelebGen – AI Celebrity Photo & Video Generator (iOS, SwiftUI) CelebGen is a SwiftUI iOS app for creating AI photos and videos featuring celebrities, backed by Firebase Cloud Functions. I took over the project as the sole developer and shipped five App Store releases so far (v2.6–continued). I built the Grok-powered image-to-video feature, Snap & Edit, and multi-prompt photo series generation; migrated the backend image pipeline from Replicate to fal.ai (http://fal.ai); and grew monetization with new credit packages, smarter RevenueCat paywall triggers, and moderation-aware credit handling. I also ran onboarding and review-prompt experiments, tracked with PostHog

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Muhammad Luqman

proLahore, Pakistan

Helping Startups & SMBs to build Scalable, Impactful Product

Helping Startups & SMBs to build Scalable, Impactful Product

Cover image for QuoteSmith

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Cover image for Spiritual Manifestations

Spiritual Manifestations

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Cover image for Development of Healing Mosaic Emotional Well-being App

Development of Healing Mosaic Emotional Well-being App

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Islamabad, Pakistan

Flutter App Developer | Beautiful, Scalable & Cross-Platform

Flutter App Developer | Beautiful, Scalable & Cross-Platform

Cover image for TriNote - Intelligent AI Note-Taking

TriNote - Intelligent AI Note-Taking Suite Overview TriNote is a high-utility productivity app that transforms raw data into structured knowledge. Developed with Flutter, it leverages Deepseek AI and custom OCR to handle everything from voice to physical documents. Technical Features: Multimodal Input: Supports Audio Transcription, Speech-to-Text (STT), OCR (Image-to-Text), and PDF extraction. AI-Driven Synthesis: Uses LLMs to generate professional summaries and structured notes from fragmented content. Monetization Engine: Seamlessly integrated Google AdMob with native layouts and In-App Purchases (IAP) for premium features. Offline First: Built with Hive for fast, local persistent storage and high-speed retrieval.

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Cover image for Clutchr - The Premier Car

Clutchr - The Premier Car Event Marketplace Overview Clutchr is a high-performance Flutter application connecting automotive organizers with enthusiasts. It streamlines event discovery and ticketing through a seamless, social-first interface. Key Technical Features: Geolocation Discovery: Integrated Google Maps API for real-time, proximity-based event tracking and personalized feeds. Conversational Ticketing: A custom Real-time Chat system where users purchase tickets directly through organizer dialogue. Dynamic QR Validation: Instant, in-chat QR code generation for secure, in-app ticket scanning and entry management. Community Focused: Built for scale with high-fidelity UX/UI tailored to the automotive lifestyle.

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Cover image for Leanify AI: AI-Powered Fitness &

Leanify AI: AI-Powered Fitness & Weight Loss Coach Leanify AI is a smart fitness companion that simplifies weight loss by replacing calorie counting with sustainable habits. Built with Flutter, it uses AI algorithms to create 100% customized plans that adapt to your progress in real-time. Key Features: Adaptive AI Coaching: Fine-tunes fasting windows and targets based on weekly data. No-Calorie Method: Focuses on Intermittent Fasting and movement. Smart Tracking: Manual logging for treadmills/steppers, data standard trackers miss. Visual Progress: Dynamic "Ideal Trend" lines to keep users motivated. Technical Stack: Cross-platform Flutter dev with integrated LLMs for personalized scheduling and high-end UX/UI.

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