Freelance React Native Developers in KarachiFreelance React Native Developers in Karachi
Full-Stack Developer & Digital Consultant
5.0
Rating
3
Followers
Full-Stack Developer & Digital Consultant
Cover image for Building a global real estate
Building a global real estate marketplace requires processing thousands of multi-country listings with complex attributes (price ranges, locations, and layout types) while ensuring the interface remains snappy and the data sync is stateless. Most property platforms lag heavily because they execute expensive database scans for every filter adjustment. The Solution: I engineered and designed PrimeEstate, a high-performance web platform crafted for luxury property discovery across major global hubs. The architecture separates client-side view states from dynamic query pipelines to ensure data updates seamlessly without full-page reloads. Key Features Built & Delivered: Advanced Real-Time Filtering System: Developed custom multi-tier filter parameters (City, Property Type, Price Bounds, and Bedrooms) that return accurate results with zero database delay. Modular Grid System: Created an intuitive UI/UX template showcasing high-res premium property modules with distinct status tags (Apartment, House, Plot) and instant pricing layers. Direct Contact Workflows: Structured interactive agent cards with custom communication loops, allowing prospective international buyers to immediately connect with localized brokers via integrated channels. Clean, Scalable Frontend Architecture: Fully optimized responsive component design focused on maintaining high render speeds even when handling large media catalogs. Tech Stack Used: React, Node.js, Custom Database Schema Indexing, and CSS Grid Architecture.
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Lead Full Stack Developer | AI/ML Engineer | Data Scientist
New to Contra
Lead Full Stack Developer | AI/ML Engineer | Data Scientist
Innovative Web Developer & Designer 🌐✨
Innovative Web Developer & Designer 🌐✨
Experienced React Native Developer for Hire
Experienced React Native Developer for Hire
Web and Mobile Application Developer | UI/UX Designer
$1k+
Earned
1x
Hired
4.3
Rating
5
Followers
Web and Mobile Application Developer | UI/UX Designer
AI SaaS Engineer | Next.js + Node.js | MVPs to Production
1x
Hired
5.0
Rating
12
Followers
AI SaaS Engineer | Next.js + Node.js | MVPs to Production
Full-Stack Next.js Developer | SaaS & AI Products
7
Followers
Full-Stack Next.js Developer | SaaS & AI Products
Building high-performance products for ambitious startups
New to Contra
Building high-performance products for ambitious startups
Cover image for Status: 🚧 Active Development (Work in
Status: 🚧 Active Development (Work in Progress) Platform: iOS & Android (Cross-Platform Mobile Application) Executive Summary FitMind AI (FM AI) is an elite, dual-sided mobile ecosystem engineered to bridge the gap between AI-driven athlete biometrics and high-performance human coaching. Most modern fitness apps rely on static, cookie-cutter PDF routines or generic algorithmic chatbots that ignore real-time human physiology. FM AI changes this paradigm by synthesizing live telemetry from wearable sensors (Whoop 4.0, Apple Watch, Garmin) into adaptive daily training, nutrition formulas, and real-time video form analysis, backed by a comprehensive Coach Command Center with intake CRM, split builders, and royalty monetization. > The Problem & Vision i) The Problem Disconnected Biometrics: Wearables gather massive amounts of sleep and HRV data, yet athletes still blindly follow fixed workout splits regardless of central nervous system (CNS) fatigue or recovery deficits. ii) Siloed Coaching Workflows: Remote coaches juggle WhatsApp for messaging, Google Sheets for workouts, Loom for video reviews, and Stripe/PayPal for billing. iii) Lack of Visual & Interactive Fidelity: Fitness apps often feel like utilitarian databases rather than dynamic, motivating athletic dashboards. The Solution: FitMind AI FM AI delivers a cohesive, glassmorphic dark-mode mobile experience featuring: i) An Athlete Mode that automatically adapts workout load, sets, and RPE based on overnight recovery and daily readiness. ii) A Coach Mode offering an agency-grade mobile CRM to prescribe routines, review video form checks with visual cues, manage inbound orders, and host 1-on-1 consultations. > Key Architectural Highlights & Features 1. Dual-Sided Executive Bento Grid Interface i) Athlete Dashboard: Features an interactive glassmorphic Bento HUD displaying real-time Whoop recovery scores, day streak gamification, FM Coin treasury rewards, and contextual daily workouts. ii) Coach Command Center: Instantly toggle between Client and Coach modes with a single tap. Coaches get real-time client roster vitals, pending intake orders, video submission queues, and quick-launch links to the Web Command Studio. iii) Custom Glassmorphism Design System: Built from the ground up using expo-blur and multi-stop linear gradients, featuring floating pill navbars with bottom blur curtains and ambient LED edge glows. 2. Live Biometric Synchronization & Intelligent Readiness i) Tracks Heart Rate Variability (HRV), resting heart rate, sleep cycles, and daily strain to calculate an AI Recovery Score (0–100%). ii) Dynamically calibrates prescribed workout weights, volume, and rest timers in real-time (e.g., dialing down squat volume when recovery is sub-50% or recommending heavy progressive overload on high-recovery days). 3. Coach Studio & Athlete Management CRM i) Multi-Day Split Builder: Interactive workout generator with RPE targets, tempo notation (eccentric/pause/concentric), and exercise tutorial integrations. ii) Custom Meal & Macro Formula Prescriber: Coaches can prescribe targeted daily caloric targets and macronutrient distributions (protein/carb/fat) with instant push notifications to the athlete. iii) Video Form Checks: Video submission pipeline allowing coaches to review athlete lift execution and return feedback cues. iv) Team Coaching & Royalties: Multi-tier agency support allowing head coaches to oversee sub-coaches and track monthly sales volume and royalty splits. 4. FM AI Adaptive Music Engine i) Biometrically reactive soundscape player with a floating, animated mini-player. ii) Automatically surfaces high-tempo, energetic playlists based on the current workout block (warmup, working sets, PR attempts, cooldown). Technical Stack & Implementation Framework: React Native, Expo SDK (Managed Workflow with Custom Plugins) Navigation: Expo Router v3 (File-based typed routing, nested layouts, modal stacks) Language: TypeScript (Strict mode, end-to-end type safety for orders, biometrics & threads) UI & Animations: React Native Reanimated 3 (60fps spring physics, enter/exit transitions, pulse glows) Aesthetics & Glass: Expo Blur (BlurView), Expo Linear Gradient, Custom HSL Dark Palettes Hardware Integrations: Device sensor access, camera intake for AI food and form scanning Media & Audio: Expo AV / Sound Engine, Expo Image for cached high-performance media delivery 📈 Ongoing Work & Upcoming Milestones (WIP)  Core athlete tracking engine and gamified coin reward economy.  Dual-dashboard switching (Athlete Mode ↔ Coach Command Center).  Glassmorphic Bento Grid navigation & responsive floating dock.  Coach routine builder and macro prescription protocol.  In Progress: On-device computer vision for real-time rep velocity tracking (VBT).  In Progress: Stripe Connect integration for automated subscription billing and instant coach payouts.  Upcoming: Apple HealthKit & Whoop API direct background background sync. 💡 Why This Project Demonstrates Product & Engineering Mastery This project showcases the ability to architect complex state hierarchies, manage dual-persona authorization flows, design production-grade UI/UX that rivals top-tier Silicon Valley consumer apps, and build cross-platform mobile software optimized for performance and aesthetic appeal.
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