Freelancers using Firebase in Gujarat

Freelancers using Firebase in GujaratFreelancers using Firebase in Gujarat

Projects People

Empiric Infotech LLP

maxSurat, India

AI & FlutterFlow Developer | Voice AI, n8n, Firebase

$10k+: Earned

2x: Hired

5.0: Rating

37: Followers

Agency

Certified

AI & FlutterFlow Developer | Voice AI, n8n, Firebase

Cover image for Development of Sublication Construction Management Platform

Development of Sublication Construction Management Platform

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10

Cover image for Property Rent Application

Property Rent Application

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17

Cover image for Salon & Clinic Appointment Booking App

Salon & Clinic Appointment Booking App

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13

Cover image for Flight Booking Application

Flight Booking Application

1

19

Third Rock Techkno

Ahmedabad, India

Flutterflow expert building Fintech Applications

1x: Hired

13: Followers

Partner

Certified

Flutterflow expert building Fintech Applications

Cover image for Daily Muslim | Pray Read Reflect Daily

Daily Muslim | Pray Read Reflect Daily

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15

Cover image for Better Miles

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23

Cover image for NourishedPlus

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52

Cover image for AI Chatbot Development for AI Chatbot Pro

AI Chatbot Development for AI Chatbot Pro

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104

Ahmedabad, India

Tailor-Made iOS Solutions with a Decade of Expertise

$1k+: Earned

4x: Hired

5.0: Rating

66: Followers

Tailor-Made iOS Solutions with a Decade of Expertise

Cover image for Skorp Security App Development

Skorp Security App Development

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5

Cover image for Dental Experts Staffing Platform Development

Dental Experts Staffing Platform Development

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9

Cover image for Bipolar Call A Doctor App Development

Bipolar Call A Doctor App Development

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13

Cover image for BayMaze - Matching people to places with logic, not luck

BayMaze - Matching people to places with logic, not luck

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5

proSurat, India

AI | .NET & Full-Stack Developer | Next.js | Flutter

15: Followers

AI | .NET & Full-Stack Developer | Next.js | Flutter

Cover image for Kids Quiz Game Mobile App Development

Kids Quiz Game Mobile App Development

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19

Cover image for Music Streaming Mobile App Development

Music Streaming Mobile App Development

1

12

Cover image for Development of Laffa Delivery & Pickup Mobile App

Development of Laffa Delivery & Pickup Mobile App

1

7

Cover image for Development & UI/UX Implementation for Rimberio E-Commerce

Development & UI/UX Implementation for Rimberio E-Commerce

1

10

Kaushik Bhingradiya

proSurat, India

Mobile MVP Developer for Startups | Flutter, React Native.

Mobile MVP Developer for Startups | Flutter, React Native.

Cover image for OneBrain AI — One App.

OneBrain AI — One App. Every AI. Limitless Creation. Overview OneBrain AI is an all-in-one multimodal AI assistant that brings conversational AI, image generation, video creation, audio tools, and voice capabilities into a single streamlined mobile experience. Instead of switching between multiple AI platforms and creative tools, users can access leading models including ChatGPT and Gemini, generate multimedia content, automate everyday tasks, and interact with AI from one unified interface. Built for productivity, creativity, learning, and everyday assistance, OneBrain AI combines powerful generative AI capabilities with an easy-to-use mobile experience, multilingual support, and privacy-focused data handling. Key Features Multi-Model AI Chat — Access leading conversational AI models including ChatGPT and Gemini from one unified application. AI Image Generation — Create high-quality AI-generated visuals using advanced image-generation models through dedicated creation workflows. AI Video Generation — Turn ideas and prompts into AI-generated videos, including support for advanced video-generation technology such as Google Veo. Voice & Audio AI — Use voice input and AI-powered audio capabilities for more natural, hands-free interaction and multimedia creation. Agentic AI Assistance — Go beyond basic chatbot interactions with AI assistance designed to help complete tasks, generate content, and streamline workflows. Unified Multimodal Workspace — Chat, generate images, create videos, work with audio, and use voice tools without jumping between separate AI applications. Task & Workflow Automation — Use AI to accelerate repetitive tasks, content workflows, research, ideation, and day-to-day productivity. Multilingual Experience — Communicate with AI across multiple languages for broader accessibility and global use cases. Privacy & Security — Designed with encrypted data transmission, user privacy controls, and compliance readiness as part of the platform experience. Product Experience OneBrain AI is designed around a lightweight, mobile-first interface that makes advanced generative AI accessible without requiring users to understand or manage multiple standalone tools. The experience brings conversational and creative AI into one ecosystem, allowing users to move naturally between asking questions, generating content, creating visuals, producing videos, and working with voice or audio. Results Shipped as a production Android application with 5,000+ Google Play downloads, bringing conversational AI and multimodal generation into one unified mobile product. OneBrain AI gives users a single destination for ChatGPT, Gemini, image generation, AI video, audio and voice tools, agentic assistance, and workflow automation while maintaining a strong focus on usability and privacy.

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Cover image for GME Time Tracker — Duty

GME Time Tracker — Duty Hour & Clinical Activity Tracking Platform 1. Project Overview GME Time Tracker is a cross-platform mobile and web application built for Graduate Medical Education professionals, including medical residents, clinical fellows, attending physicians, and residency program administrators. The platform helps users accurately record duty hours and clinical activities, review logged time through visual summaries, and generate attestation-ready PDF reports for compliance and program audits. 2. Problem Statement Medical education programs require reliable tracking of resident duty hours and clinical activities to meet accreditation and reporting requirements. Manual tracking through paper records or fragmented spreadsheets can lead to inaccurate entries, missing logs, inconsistent time calculations, and difficulty preparing verified reports. The project needed a centralized system that could simplify time recording while improving the accuracy and reliability of compliance documentation. 3. Solution GME Time Tracker provides users with two flexible ways to record activities: live timers for ongoing shifts and manual entry for previously completed work. Users can categorize activities, add notes, review historical records, monitor time distribution through dashboards, and generate filtered PDF reports with formal attestation information when required. 4. Key Features Real-Time Activity Timer: Users can start, pause, and stop live timers while the application continuously calculates and stores elapsed time. Manual Time Entry: Past activities can be recorded using structured date, category, hour, minute, and note fields. PDF Report Generation: Users can select a date range and create downloadable reports containing logged activities, summary tables, and attestation statements. Activity Analytics: Interactive charts and category summaries provide a clearer view of total logged hours and activity distribution over time. Server Time Verification: Device time is checked against verified server timestamps to identify significant clock differences and reduce inaccurate time submissions. Professional Profile Management: Users can maintain academic and professional information such as degree, institution, medical position, and specialty. 5. User Experience Highlights The experience was designed around quick time recording with minimal interruption to clinical work. Users can choose between live tracking and manual entry depending on the situation, while dashboards summarize activity without requiring users to review individual records manually. Responsive layouts allow the same core workflow to remain accessible across mobile and web. 6. Technical Highlights The application was developed using Flutter and Dart for mobile and Flutter Web for browser access, with GetX handling state management. Firebase Authentication supports email and password login, while Firebase Firestore stores user profiles, active timers, and activity records. Firebase Hosting and CLI tools support web deployment. A server timestamp verification mechanism compares trusted backend time against the device clock to help prevent invalid time logs. 7. Challenges & Solutions Cross-platform PDF storage required different handling across Android, iOS, and Web. The implementation used platform-specific file-saving approaches, including mobile storage handling and browser-based downloads. Another challenge was maintaining accurate timer behavior when the application moved between foreground and background states. Server-backed timestamps and lifecycle-aware calculations were used to reduce inconsistencies caused by device clock manipulation or application state changes. 8. Results & Impact The project delivered a multi-platform duty-hour tracking solution for Android, iOS, and Web. Residents can record clinical shifts through live or manual workflows, review activity summaries, and generate verified PDF reports for compliance documentation. 9. Key Takeaway GME Time Tracker demonstrates how a compliance-focused healthcare workflow can be translated into a practical cross-platform product that combines reliable time tracking, reporting, analytics, and time-verification safeguards in one system.

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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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Cover image for VEDV
One app, four roles, turning

VEDV 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.

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Priyank sojitra

Expert flutter developer

New to Contra

Expert flutter developer

Cover image for AI Song Cover Generator is

AI Song Cover Generator is a cutting-edge music app built for iOS & Android using Flutter and Firebase — designed to replace any song's vocals with celebrity or character voices in seconds, preserving the original rhythm & melody perfectly. 🎵 What I Built: AI Cover Generation — pick any song, choose a celebrity voice, AI replaces vocals instantly while preserving melody Realistic Voice Change — Robot, Penguin, Chipmunks, Alien, Cartoon & more — ultra-realistic vocal synthesis High Quality Library — world's largest AI voice library, new voices added weekly, browse & preview instantly Speak as Character — transform your voice into any character in real time with seamless AI processing Share & Go Viral — one-tap sharing to Instagram, Facebook & WhatsApp with rename & manage options Full Music Player — built-in player with waveform scrubber, repeat, skip & character artwork display ⚙️ Tech Stack: Flutter · Firebase · AI Voice Synthesis · Voice Cloning ML · Audio Processing · Music Player SDK · REST API · iOS & Android · UI/UX Design · Figma · Social Sharing ∞ Voice Library · AI Powered · 2 Platforms Clean architecture, stunning UI, and a seamless audio experience built to keep music lovers engaged and sharing. 👉 Available for new projects — Let's build your next viral AI music app together! Live App link :- https://play.google.com/store/apps/details?id=com.vihan.john.aisongcover.aimusic

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Cover image for Piczy: AI Image to Video

Piczy: AI Image to Video Maker Piczy is a next-gen AI video maker app built for iOS & Android using Flutter and Firebase — designed to turn any photo or text prompt into jaw-dropping cinematic videos in seconds. 🎬 What I Built: AI Video Generator — transforms text prompts & images into dynamic AI-generated videos with effects & animations Image to Video — choose from Zoom Earth, Atomic, Vampire & more cinematic effects Text to Video — type any cinematic prompt, generate a realistic 5s or 8s video instantly AI Hug Video — viral Polaroid-style photo effect that transforms any indoor photo into a giant teddy bear hug scene Video Templates — Travel, Dance, Singing, Horror, Couple & more — one tap generates a personalized video Premium & Ad-Free — powered by RevenueCat subscription with unlimited generations & 4K output ⚙️ Tech Stack: Flutter · Firebase · AI Video Gen · Deep Learning · REST API · RevenueCat · UI/UX Design · Figma · 4K Processing · iOS & Android 📱 2 Platforms · 10+ AI Modes · 4K Output Quality Fast delivery, clean architecture, and a stunning UI built to keep users engaged and coming back. 👉 Available for new projects — Let's build your next viral AI app together!

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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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Cover image for Body Editor & AI Video

Body Editor & AI Video App — Shapix (Flutter · iOS & Android) What I Built Shapix is a full-stack AI-powered photo and video editor for iOS and Android, built with Flutter. It lets users reshape their body, generate cinematic AI videos, and apply viral visual effects — all in a pixel-perfect UI with blazing-fast performance. Key Features I Developed 🏋️ Muscle Boost & Body Reshape — AI-powered body sculpting with S/M/L intensity presets and precise muscle zone detection 💥 Explosion Effect — Jaw-dropping AI compositing that places users inside fire and explosion cinematic scenes ✂️ Slim Waist & Abs Editor — Fine-tuned AI warping with Hourglass, Natural, and Shredded presets — zero artifacts 🎬 Cinematic AI Videos — Hollywood-style video templates powered by Wan 2.5 AI (Wonderland, Objects Around & more) 💾 Save & Share — High-res export with direct sharing to Instagram, TikTok, and other social platforms Tech Stack Flutter · TensorFlow Lite · AI/ML · Body Pose AI · Firebase · REST API · Video Gen API · iOS & Android · UI/UX Design · Figma Live App link :- https://play.google.com/store/apps/details?id=com.shapix.bodyeditor.aivideo

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Niral Dhameliya

Flutter & FlutterFlow Expert with 7+ Years Experience

Flutter & FlutterFlow Expert with 7+ Years Experience

Cover image for AsyncHealth | FlutterFlow | Healthcare

AsyncHealth | FlutterFlow | Healthcare

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26

Cover image for Online Dating app

Online Dating app

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30

Cover image for E-Commerce App Development with FlutterFlow

E-Commerce App Development with FlutterFlow

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28

Cover image for Vedu AI | Learn Languages Visually | Supabase

Vedu AI | Learn Languages Visually | Supabase

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1.1K

Flutter & AI App Developer | iOS & Android Expert

New to Contra

Flutter & AI App Developer | iOS & Android Expert

Cover image for Fitness App | Workout Tracker & Training Platform

Fitness App | Workout Tracker & Training Platform

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10

Cover image for HealthPoint Mobile App Development

HealthPoint Mobile App Development

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9

Cover image for Mobile-First Fintech App for Finans

Mobile-First Fintech App for Finans

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9

Cover image for SteadyCash Fintech Mobile App Development

SteadyCash Fintech Mobile App Development

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4