Freelance Mobile Engineers in SuratFreelance Mobile Engineers in Surat
AI & FlutterFlow Developer | Voice AI, n8n, Firebase
2x
Hired
5.0
Rating
40
Followers
AI & FlutterFlow Developer | Voice AI, n8n, Firebase
Mobile MVP Developer for Startups | Flutter, React Native.
5.0
Rating
5
Followers
Mobile MVP Developer for Startups | Flutter, React Native.
Cover image for Careezy
Turning everyday home-care visits into
Careezy Turning everyday home-care visits into a structured, trackable workflow for caregivers. Overview Careezy is a mobile home-care management application designed to help caregivers manage client visits, medication schedules, service tasks, and care documentation from a single mobile experience. The app focuses on the caregiver's day-to-day workflow: arriving at a client's location, verifying the visit through GPS, clocking in, completing assigned care tasks, managing medication-related information, recording observations, and clocking out when the visit is complete. I worked on the mobile application with a focus on making these workflows simple, reliable, and practical for caregivers who need to use the app while actively providing care. The Problem Home-care visits involve more than simply showing up at a client's address. Caregivers need to know what tasks need to be completed, which medications require attention, what happened during previous visits, and how to document important observations. At the same time, care providers need confidence that scheduled visits are actually taking place at the client's location and that visit information is accurately recorded. Careezy brings these activities into one mobile workflow. GPS-based attendance helps validate that caregivers are physically near the client's address, while task tracking, medication information, notes, and reporting create a digital record of the visit. Key Features GPS-Based Clock-In / Clock-Out — Caregivers can record the start and end of a visit, with location validation restricting clock-in/out to a predefined radius around the client's location. Medication Management — Caregivers can view medication schedules and receive reminders to help ensure medications are handled at the appropriate time. Service Task Tracking — Each client visit can include an organized list of care/service tasks. Caregivers can mark tasks as completed so important activities are not missed. Care Plan Details — Client profiles provide access to relevant care-plan information, giving caregivers important context before and during a visit. Visit Notes & Reporting — Caregivers can document observations and visit details, supporting better communication and continuity of care. Appointment Notes — Appointment-related notes can be edited when information needs to be corrected or updated. Body Map — A dedicated body-map view provides a visual way to work with medication-related information. Client-Centric Workflow — The application organizes information around individual clients and their visits rather than forcing caregivers to manage disconnected workflows. Location Validation One of the more important implementation challenges was location-based attendance. A simple clock-in button could allow a caregiver to register a visit from anywhere. Careezy instead uses the client's stored location and a predefined radius to determine whether the caregiver is close enough to the client address to clock in or clock out. This creates a more reliable connection between the digital attendance record and the real-world care visit. Caregiver Workflow The core workflow is designed around the actual sequence of a home-care visit: View the assigned client and visit information. Review care-plan and medication details. Arrive at the client's location. Complete GPS-based location validation. Clock in. Review and complete assigned service tasks. Manage medication-related activities. Record visit observations and notes. Complete the visit. Clock out. This keeps the most important information available within the caregiver's mobile workflow instead of requiring multiple disconnected systems. Technical Challenges GPS Accuracy & Location Validation — Location-based attendance needs to account for real-world GPS accuracy while still enforcing the required client-location radius. Time & Timezone Handling — The application required attention to date/time handling, including fixes for timezone-related issues identified during production updates. Healthcare Workflow Usability — Caregivers may use the application while moving between tasks and clients, so workflows need to remain clear and require minimal unnecessary interaction. Production Reliability — The app has gone through multiple production iterations involving feature improvements, design updates, bug fixes, and timezone-related fixes. Platform Android & iOS Category Healthcare / Home Care / Caregiver Management Production Status Live application with ongoing production updates and improvements. Key Takeaways The most important lesson from Careezy was that healthcare workflow applications need to connect digital actions with real-world events. A clock-in feature by itself is simple. Making that clock-in meaningful requires location validation, accurate time handling, client-specific context, and a workflow that caregivers can use without slowing down the actual care process. Careezy combines these pieces into one focused mobile experience for home-care professionals.
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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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AI | .NET & Full-Stack Developer | Next.js | Flutter
17
Followers
AI | .NET & Full-Stack Developer | Next.js | Flutter
Building technology that creates real business impact.
5.0
Rating
1
Followers
Building technology that creates real business impact.
Cover image for MealSwift: Food Delivery Platform
◆ Context
MealSwift: Food Delivery Platform ◆ Context & Challenge The client envisioned a modern food delivery platform that connects customers, restaurants, and delivery partners through a fast, reliable, and user-friendly mobile experience. The objective was to simplify online food ordering while ensuring real-time order management, seamless delivery tracking, and an engaging user journey. The primary challenge was building a scalable ecosystem capable of handling live order updates, multiple user roles, secure payments, and efficient delivery coordination without compromising performance or usability. ◆ Approach & Solution We developed MealSwift, a comprehensive food delivery platform designed to deliver a seamless ordering experience from restaurant discovery to doorstep delivery. The platform combines intuitive user interfaces with robust backend services, enabling customers to browse nearby restaurants, place orders effortlessly, track deliveries in real time, and enjoy a personalized food ordering experience. Restaurants and delivery partners benefit from streamlined order management, optimized workflows, and real-time communication. ◆ Key Focus Areas ‣ Restaurant discovery with personalized recommendations ‣ Real-time order tracking and delivery updates ‣ Secure online payments and order management ‣ Multi-role platform for customers, restaurants, and delivery partners ‣ Location-based search and intelligent delivery routing ‣ Scalable architecture for high-volume food ordering ◆ Execution ‣ Designed and developed a mobile-first food delivery application with an intuitive user experience ‣ Built scalable backend services for order processing, restaurant management, and delivery coordination ‣ Integrated secure payment gateways, push notifications, and real-time order status updates ‣ Developed RESTful APIs to synchronize customer, restaurant, and delivery partner operations ‣ Optimized application performance, cloud infrastructure, and security for reliable, high-volume usage ◆ Outcome & Impact MealSwift provides a fast, convenient, and reliable food ordering experience that benefits customers, restaurants, and delivery partners alike. ‣ Improved customer satisfaction through a streamlined ordering and checkout experience ‣ Increased restaurant efficiency with real-time order management and workflow automation ‣ Enhanced delivery transparency with live tracking and timely status notifications ‣ Built a scalable platform ready for expansion, new restaurant partnerships, and future feature enhancements
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Cover image for SleepScore: Smart Sleep Tracking Platform
◆
SleepScore: Smart Sleep Tracking Platform ◆ Context & Challenge The client wanted to create an intelligent sleep tracking platform that helps users understand and improve their sleep quality without requiring wearable devices. The goal was to deliver an effortless bedside experience powered by advanced sleep analysis while keeping users engaged through personalized recommendations and wellness features. The key challenge was to accurately analyze sleep patterns using non-contact technology while transforming complex sleep data into meaningful insights that encourage healthier sleep habits. ◆ Approach & Solution We developed a comprehensive sleep wellness platform that combines intelligent sleep tracking, personalized coaching, and relaxation tools into a seamless mobile experience. Leveraging advanced sleep analytics, the platform monitors nightly sleep patterns, identifies areas for improvement, and delivers customized recommendations to help users build healthier sleep routines. The experience is designed to be intuitive, data-driven, and accessible without the need for wearable hardware. ◆ Key Focus Areas ‣ Non-contact sleep tracking and monitoring ‣ Personalized sleep insights and improvement plans ‣ Sleep cycle analysis and performance visualization ‣ Smart alarms and customized wake-up experience ‣ Relaxation content including sleep sounds and guided routines ‣ Long-term sleep habit tracking and wellness analytics ◆ Execution ‣ Designed and developed a user-centric mobile application focused on effortless nightly tracking ‣ Built scalable backend services for sleep data processing, synchronization, and analytics ‣ Implemented intelligent recommendation systems based on individual sleep behavior and trends ‣ Integrated notification systems for smart alarms, reminders, and personalized coaching ‣ Optimized application performance, security, and cloud infrastructure to support a growing user base ◆ Outcome & Impact SleepScore delivers an intuitive and science-driven sleep improvement experience, enabling users to better understand their sleep and build healthier nightly routines. ‣ Enhanced user engagement through personalized sleep recommendations ‣ Improved awareness with easy-to-understand sleep analytics and visualizations ‣ Increased long-term retention through habit-building features and wellness coaching ‣ Established a scalable foundation for future AI-powered sleep and health integrations
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Cover image for  BodyWave: Health Tracker

◆ Context &
 BodyWave: Health Tracker ◆ Context & Challenge The client aimed to build a mobile-first health tracking platform that goes beyond basic fitness logging focusing on holistic well-being, habit formation, and personalized health insights. The challenge was to create a seamless, engaging experience that could: ‣ Track multiple health parameters in real time ‣ Provide meaningful, actionable insights (not just raw data) ‣ Encourage long-term user engagement and consistency ‣ Maintain performance and scalability across devices ◆ Approach & Solution We developed BodyWave, a smart health tracking platform designed to act as a personal wellness companion, combining intuitive UX with intelligent data insights. The solution integrates health data tracking, behavioral insights, and personalized recommendations to help users make better daily health decisions. ◆ Key focus areas: ‣ Personalized health tracking and insights ‣ Real-time activity and wellness monitoring ‣ Habit-building and user engagement design ‣ Data visualization for actionable understanding ‣ Scalable mobile-first architecture ◆ Execution ‣ Designed and developed a high-performance mobile application with intuitive UX ‣ Built backend systems for real-time health data processing and synchronization ‣ Implemented personalized insights based on user behavior and patterns ‣ Developed secure APIs for data handling and third-party integrations ‣ Ensured scalability and performance optimization across devices ◆ Outcome & Impact BodyWave delivers a streamlined and engaging health tracking experience that empowers users to take control of their well-being. ‣ Increased user engagement through intuitive design and insights ‣ Improved health awareness with actionable data visualization ‣ Strong retention driven by habit-forming features ‣ Scalable foundation for future health integrations and features
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Full Stack Dev (AI,React,Angular,Ionic,Node,Python,Firebase)
Full Stack Dev (AI,React,Angular,Ionic,Node,Python,Firebase)
Mobile App Developer | Flutter & Flutterflow
5.0
Rating
3
Followers
Mobile App Developer | Flutter & Flutterflow
Expert flutter developer
New to Contra
Expert flutter developer
Cover image for FaceWise — AI Face Makeover
FaceWise — AI Face Makeover & Beauty App (Flutter · iOS & Android) AI-powered beauty & face makeover app — virtual hair studio, instant face transformation, and smart makeup tools. Glow up in seconds. What I Built FaceWise is a premium AI beauty and photo editor for iOS and Android, built with Flutter. It gives users a complete virtual beauty studio in their pocket — from trying new hairstyles to full face makeovers — all powered by cutting-edge AI with a stunning, modern UI. Key Features I Developed 💇 Virtual Hair Studio — Try hundreds of hairstyles in real-time using AI, with color and style variations before committing to a cut ✨ Reimagine Your Look — Full face transformation engine with before/after comparison — users see dramatic changes instantly 💄 Instant Face Makeover — Smart makeup application with Natural, Bold, and Trendy presets powered by face detection AI 🎨 Beauty Filters & Face Expression Tools — Real-time filters with precision face landmark tracking for zero-artifact results 💾 Edit, Save & Share — High-res export with one-tap sharing to Instagram, TikTok, and more Tech Stack Flutter · AI Face Detection · Beauty ML Models · Firebase · REST API · iOS & Android · Clean Architecture · UI/UX Design · Figma What Makes It Special ⚡ Fast delivery with clean, scalable code architecture 🔒 Secure & reliable — built with user data privacy in mind 🌟 5-star client review — "Delivered exactly what I needed. Great communication, fast delivery and high quality work. Will definitely work with again!" 🎯 Pixel-perfect UI matching modern beauty app standards Live App Link :- https://play.google.com/store/apps/details?id=com.sr.pahal.hairchanger.aiphotoeditor
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