Freelance Flutter Developers in Rawalpindi
Freelance Flutter Developers in Rawalpindi
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Hamza Imran
pro
Islamabad, Pakistan
Quality-focused Flutter Engineer
$1k+
Earned
1x
Hired
26
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Quality-focused Flutter Engineer
1
FutureNote App Development
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3
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Had an iOS review stuck in 'In Review' state for 5 hours, the app wasn't even that big, while another bigger app got approved within an hour on the same day, and both were first releases. Apple review is pretty wild :)
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Lumbra: AI-Powered Back Pain Recovery App Development
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22
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Nimbus AI-Powered Study Companion Development
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10
Flutter Developer
(8)
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shaiq paracha
Islamabad, Pakistan
Flutter App Developer | Beautiful, Scalable & Cross-Platform
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Flutter App Developer | Beautiful, Scalable & Cross-Platform
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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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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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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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(3)
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Muhammad Abdullah Kiani
Islamabad, Pakistan
Complete Mobile & Web App Dev: Design to Deployment
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Complete Mobile & Web App Dev: Design to Deployment
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PARAGON - FITNESS AND DIET PLANNER
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17
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TRAVEL GUIDE/PARTNER FINDING Mobile Application
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17
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SKOOP - A FOOD DELIVERY PLATFORM
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25
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M. Ahsan Hameed
Rawalpindi, Pakistan
Flutter Developer | I build modern mobile apps for startups
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Flutter Developer | I build modern mobile apps for startups
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Developed an AI App that grows with you. You tell him you want to learn new language. It will generate a complete roadmap for you and also will generate practices for you to make sure you learn. It will provide you a complete detail of your progress.
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ChatFlow is a modern, full-featured mobile chat application designed with a production-ready UI/UX system and developer-first handoff. The project focuses on building a scalable and visually consistent chat experience covering real-world messaging use cases such as 1:1 chats, group chats, media sharing, voice messages, calls UI, and robust settings and profile management. The application was partially implemented and then fully completed with a structured design system, micro-interactions, accessibility standards, and Flutter-friendly layout guidance to ensure smooth engineering implementation.
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Skill Swap - Agentic mobile app for skill bartering An AI powered mobile app that matches people locally and negotiates fair skill for skill trades without money. Local bartering is insufficient because: - People struggle to find someone who both needs and offers the right skills - There is no standard way to indulge skill value - Trust and safety are missing in casual exchange Solution: SkillSwap AI uses an Intelligent matching and negotiation system to create fair, local skill exchanges - AI powered semantic skill matching - Built-in negotiation agent that proposes balanced swaps - Hyper-local discovery using maps - Trust Ledger that verifies completed swaps
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I have designed and developed a food delivery app using a flutter and nodeJS as a backend. I have also developed the screens for riders and admin. Admin panel can manage orders, riders and other details. Tools: Flutter, Dart, NodeJS, MongoDB, Bloc Timeline: 2 to 3 Months Budget: $600
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38
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(4)
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Anees Ahmed
Rawalpindi, Pakistan
🚀 Flutter Expert for Android Apps 🚀
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🚀 Flutter Expert for Android Apps 🚀
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Social Bank (Quiz Application)
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6
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So Earn (User Referral Application)
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3
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Share Vibe (Instagram Clone)
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3
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Haris Rana
Rawalpindi, Pakistan
A dedicated and passionate Flutter Application Developer
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A dedicated and passionate Flutter Application Developer
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RSS Feed – Global News at Your Fingertips
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4
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PMD KISSAN APP
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2
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Chat Application
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1
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talha masood
Rawalpindi, Pakistan
Flutter and FlutterFlow Expert
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Flutter and FlutterFlow Expert
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AI RMF FlutterFlow App Development
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1
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Patient Management & Data Export FlutterFlow App
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FlutterFlow Breathing and Mindfulness App Development
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Travel App Development with FlutterFlow and Firebase
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2
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(4)
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Syed Asad Iftikhar
Rawalpindi, Pakistan
AI Automation Engineer | n8n, Flutter & Voice AI Specialist.
New to Contra
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AI Automation Engineer | n8n, Flutter & Voice AI Specialist.
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I developed Chezify, a high-performance mobile application tailored for a local fast-food restaurant. The goal was to bridge the gap between a traditional physical storefront and a modern digital presence by providing a seamless, branded ordering interface. The Technical Challenge The focus was on creating a Modular Architecture that allows the business to scale its menu effortlessly. I designed a library of reusable Flutter widgets (FoodCards, DealCards) that ensure UI consistency across the entire app while maintaining a strict 60 FPS performance target for a premium user experience. The Results Optimized Performance: Achieved silky-smooth scrolling and transitions, even with high-resolution imagery. Scalable Design: Built a custom UI/UX from scratch using Dart, avoiding generic templates to ensure brand uniqueness. Business Integration: Developed an "Exclusive Deals" logic to drive higher order values through targeted combo offers.
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I engineered a high-performance, browser-based 3D experience that allows users to manipulate a system of 15,000+ particles using real-time hand gestures. This project explores the intersection of Web Graphics and Computer Vision, turning a standard webcam into a spatial controller. The Technical Challenge The main hurdle was achieving a "haptic" feel ensuring the particles reacted instantly and smoothly to physical movements without lag. This required mapping 2D webcam coordinates into a 3D coordinate system and calculating volumetric transformations on the fly. The Solution & Workflow High-Performance Rendering: Used Three.js and WebGL with additive blending and custom color mapping to render a massive particle count at a consistent 60 FPS. Real-time Inference: Integrated Google MediaPipe to track 21 3D landmarks per hand directly in the client-side browser, eliminating the need for a backend. Dynamic Math: Implemented custom lerping (Linear Interpolation) and gesture thresholds to create fluid movements, such as a "fist-clench" collapsing the particles into a sphere and an "open-palm" expanding them into a galaxy. The Results Created a fully immersive, zero-latency interface that demonstrates the power of the modern web for interactive AI applications.
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I built a custom AI Voice Agent for a service-based business to automate their appointment booking process. The system handles inbound/outbound calls, qualifies customers, and manages scheduling without any human intervention. The Technical Challenge The goal was to create a "robust" agent that could handle natural human speech patterns including stammers or mid-sentence changes while maintaining the conversational flow. I needed to bridge the gap between high-fidelity voice synthesis and real-time database management. The Solution & Workflow Voice & Logic: Integrated ElevenLabs for realistic vocal performance and Retell AI (or similar) for low-latency conversational handling. Automation Engine: Built complex workflows in n8n to process the data gathered during the call. Real-time Integration: The system automatically cross-references and updates Google Calendar, sending instant confirmations to both the client and the customer. The Results 100% Automation: Successfully moved the client from manual phone bookings to a fully autonomous system. Error Handling: Programmed the agent to stay on track even when users provide vague or self-correcting input.
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I developed a real-time Air Drawing Application that uses Computer Vision to transform hand gestures into digital input. By utilizing a standard webcam, the app allows users to draw, erase, and select colors in mid-air without any physical contact with the screen. Key Technical Features: Hand Tracking: Integrated MediaPipe to track 21 specific hand landmarks with high precision and near-zero latency. Gesture Logic: Programmed custom state-switching—using a single index finger for "Drawing Mode" and a two-finger gesture for "Selection Mode" to navigate the UI. Real-time Rendering: Leveraged OpenCV for video processing and to create a dynamic, responsive canvas overlay. This project demonstrates my ability to build Human-Computer Interaction (HCI) tools and implement real-time AI solutions using Python.
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25
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(1)
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