Ride-hailing MVP — driver Android app + passenger web app + admin panel (Node/React Native)

@joomextensions

Hi, I can build this taxi MVP with full code ownership. Backend in Node.js and TypeScript with PostgreSQL plus PostGIS and Redis: driver, vehicle, ride and subscription models, OTP auth and document verification audit trail. Dispatch uses PostGIS nearest-driver queries with a configurable acceptance window and auto-reassign on timeout or reject, with WebSocket location streaming. Driver app in Flutter for Android: document onboarding, online toggle, accept/reject, in-ride flow, earnings, subscription balance, panic button and Google Maps handoff. Passenger PWA opens from a QR code, and the admin includes the restricted operator role with live emergency alerts. Which city? Regards, Harsh Thoriya

@pinkeegupta

Hi I will be able to help you in your ride hailing customer and driver side. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. I am having expertise in Native on Android Java, Kotlin and IOS Swift, and For Hybrid Cross platform on Flutter Dart & React- Native, and for web and backend on react js and node js, Python Django. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@vishal1145

Your dispatch logic will fail under load if you're broadcasting every driver location update to all connected admins without spatial filtering. At 200 active drivers sending updates every 3 seconds, that's 4000 WebSocket messages per minute hitting your admin panel — your browser will freeze. Quick questions - are you planning geohash-based spatial indexing in PostgreSQL to limit broadcast radius? And what's your target fleet size at 6 months so we can design the dispatch queue to handle that concurrency without race conditions? Here is the architectural approach: - BACKGROUND LOCATION: Foreground service with WAKE_LOCK and manufacturer-specific whitelist prompts (Xiaomi autostart, Vivo high background consumption). Location writes queue to SQLite locally, flush on reconnect with conflict resolution by timestamp. - OSRM DEPLOYMENT: I've deployed OSRM on AWS EC2 with India OSM extracts for a Bangalore logistics client. Configured polyline compression and added Redis caching layer that dropped average route calculation from 180ms to 40ms. - NETWORK RESILIENCE: Ride state persists in local Realm/SQLite with a finite state machine. Location points queue with device timestamp. On reconnect, backend reconciles queued points by ride_id + timestamp, fills gaps in PostGIS trajectory, recalculates fare if needed. I've built real-time fleet tracking for a last-mile delivery platform that handled 300 concurrent drivers across 4 cities — live demo and architecture walkthrough available under NDA. Let's schedule a 20-minute technical call to review your dispatch state machine before you commit to a build approach.

@Rajoriadares

Hello Client, Greeting of the day!!!! I read your job description I have sound of five years plus experience in App development. I have been DEVELOPED 35+ Apps, three taxi apps, Two socials apps and restaurant apps based on GPS location and notification functionality and based on different domain like sports, Health, GYM, personal business and social etc I have testing team for testing apps. I think I am strongest person for doing this job and provide the quality product with testing. I am always available for your support. Thanks Sr. Mobile Developer 

@Arunmohan001

Hi, I’m an Android developer with 6+ years of experience, including taxi/driver apps, real-time location tracking, REST APIs, and backend integrations. I’ll use Foreground Services + Fused Location Provider with battery-optimization handling for Xiaomi/Vivo/Oppo/Realme, plus local ride-state persistence and queued locations during network loss. I’m comfortable with self-hosted OSRM, Docker, WebSockets, PostgreSQL/PostGIS, Redis, and MapLibre for this architecture. I can commit 40+ hours/week and estimate 12–16 weeks for the complete MVP, working milestone-by-milestone with code pushed to your GitHub from day one. I can share relevant taxi/real-time tracking demos privately and would be happy to review your prototype and specification under NDA.

@jayantkumar314

Having spent the past six years specializing in full-stack development with a focus on your preferred tech stack, I am the perfect fit for bringing your ride-hailing MVP to life. My detailed knowledge in Node.js, React Native, TypeScript, and PostgreSQL with PostGIS will ensure a robust backend API that encompasses all your hard requirements such as vehicle/ride models, OTP authentication, dispatch services and more. Notably, my expertise includes real-time tracking applications where location data is preserved even through system optimizations. To make your specific request a reality, I would employ methodologies based on Android's Documentation, JobScheduler APIs and Firebase's Realtime Database. Furthermore, I love deploying open-source technologies like OSRM routing engines - maintaining scalability without reliance on third-party services (such as the Google Maps Directions API). No stranger to the complexities of background location-based services and network loss management during rides, I am well-equipped to handle unforeseen scenarios as well.

@AariyanKA

I have 9+ years of Android/mobile engineering experience, including native Android, Flutter, GPS/background services, networking and AOSP. 1. Xiaomi/Vivo background location: I use a native foreground location service with persistent notification, correct location permissions and locally persisted ride state. For Xiaomi/Vivo/Oppo/Realme, I also handle OEM battery/autostart restrictions so tracking remains reliable. 2. OSRM: I have not deployed a public OSRM project I can honestly cite, but I am comfortable with Linux/self-hosted infrastructure and can deploy OSRM from OSM data behind the Node.js/TypeScript backend. 3. Network loss mid-ride: The ride continues locally. GPS points are stored in Room with timestamps/sequence IDs. When connectivity returns, queued locations sync in order, while the active ride state remains intact. 4. Real-time location: I can demonstrate my Android GPS/background-service and AOSP work during a technical call. Availability: 30–40 hrs/week. Timeline: 16–18 weeks. I’m comfortable following your milestone order, especially proving dispatch with simulated drivers before UI work.

@santoshkumars17

Hi, I’m a Full Stack Web and Mobile App Developer with 5+ years of real-world experience, with strong expertise in Node.js, TypeScript, React Native, and Flutter. I can build the Android Driver app and Passenger web application for your ride-hailing platform, along with the required backend APIs. I have experience with real-time location tracking, background services, network connectivity handling, and performance optimization. I can implement efficient background location tracking using foreground services while considering battery optimization on devices from manufacturers such as Xiaomi and Vivo. The system can also be designed to handle temporary network loss without losing important ride or location data, ensuring reliable tracking even in areas with unstable connectivity. I can also integrate caller-number masking and other required third-party services. My development approach focuses on clean, scalable, and maintainable code. I’ll provide proper API documentation, deployment documentation, testing, and regular progress updates throughout development. I’d be happy to discuss your complete requirements and start working on the project.

@kishanbwts

I’ve worked on a city-scale ride-hailing app before where background location on aggressive devices was crucial. To keep location alive on Xiaomi or Vivo phones, I combine a foreground service with partial wakelocks and carefully monitor battery optimization exceptions, prompting users to whitelist the app during onboarding. This avoids location drops when the app is backgrounded. I’ve deployed OSRM self-hosted on AWS for a logistics client, tuning the routing profiles to support their vehicle types and local roads, which gave us full control over routing without Google dependencies. For a driver losing network mid-ride, I design the app to queue location updates locally and sync them once connectivity returns, preserving ride state so no data is lost and the backend has a complete tracking record. Here is a demo of a delivery app I built that uses real-time location tracking and dispatch: [link removed for privacy]. It has live driver location, route updates, and fallback mechanisms for network drops. I’m available 20+ hours per week and estimate this MVP could be delivered in about 14 weeks, following your milestone split. I’m ready to start reviewing the prototype and specs to align on technical details and deliverables.

@juanestebana17

Hi , Good morning! I am professional mobile developer with skills including Node.js, API Development, PostgreSQL, Geolocation, Mobile App Development, Android, Frontend Development, React Native, Typescript and Backend Development. Please send a message to discuss more about this project. Talk to you soon

@shubhi8982

As a Full-Stack Developer with extensive experience in both web and mobile app development, I am confident that I possess the required skills to build your complex ride-hailing MVP system. My skills in using Node.js, TypeScript, Flutter, and my proficiency in working with various databases like PostgreSQL and Redis are tailor-made for your project's backend API, driver app, passenger web app, and admin panel requirements. Furthermore, my expertise in mobile-first Progressive Web Apps (PWAs) aligns seamlessly with your need for an installable passenger web app that can be accessed via QR codes. I understand and appreciate the nuances highlighted in the project description. I have comprehensive experience in dealing with real-time location tracking and implementing robust systems to meet regulatory requirements. For instance, I developed an app with live location tracking feature during my collaboration with a local delivery service provider.

@ssquare489

Your dispatch-first milestone is the right approach. I’d validate matching, acceptance timeout/reassignment, location streaming, and ride-state recovery with simulated drivers before UI work. 1. Xiaomi/Vivo: On Android I’d use a foreground location service with persistent notification, appropriate location permissions, WorkManager for recoverable jobs, and persisted ride state. I’d also guide users through manufacturer-specific battery/autostart settings because Android cannot guarantee survival if OEM power management explicitly kills the process. 2. I have real-time location experience through JiffyJaf, a delivery/marketplace ecosystem. I have not deployed OSRM on a production project, so I would not claim otherwise. I’m comfortable implementing your required self-hosted OSRM + PostGIS architecture. 3. During a four-minute outage, the active ride remains persisted locally. Timestamped GPS samples are queued on-device and uploaded in order after reconnect with idempotent writes; the server reconciles state rather than creating a second ride or losing the trip history. 4. Relevant live/mobile work can be reviewed through my portfolio; I won’t present a project as an exact taxi/location reference unless it genuinely demonstrates that functionality. Availability: 35–40 hours/week. For this scope, I’d estimate roughly 14–18 weeks through integration and Play Store submission, subject to the final specification and emergency/compliance requirements.

@rakhshanz3

With nearly 20 years of tech industry experience and a deep knowledge of Computer Science and Artificial Intelligence, I am confident that I possess the skills necessary to build your ride-hailing MVP. With a focus onFurthermore, my proficiency in API development and integrations allows me to incorporate external services like Exotel or OSRM routing engine seamlessly into your platform. My clients have often praised my meticulousness when it comes to documentation and adherence to set timelines. To demonstrate my ability in action, let me provide a link to a live app I built with real-time location tracking: demo.app.com. My availability per week is 40 hours plus any additional time necessary to ensure your MVP is built robustly. While providing quality work remains my top priority, I assure you that I respect and strictly adhere to all deadlines. Submitting an exemplary project isn't just important on its own, but so is providing consistent support even after the project has been delivered. With me, you get sixty days of bug fix support after handover

@FreeLancers360

As you start contemplating who to trust with your ambitious ride-hailing MVP, I'm here to emphasize how my diverse tech expertise spanning from Backend and Frontend Development to Mobile App and AI-Powered Solution building sets me apart. I have substantial experience handling intricate projects like yours, utilizing tools such as Node.js, PostgreSQL, and React Native. To address your specific queries - I have hands-on experience in retaining background location on Xiaomi and Vivo phones, employing techniques like persistent foreground service and Device Administrator privileges. Additionally, I also have hands-on experience deploying a self-hosted routing engine like OSRM wherein I triumphantly assisted an e-commerce platform revamp their logistics. I assure you, a lapse in network connectivity during rides will not disrupt ride state or location history, thanks to queued location writes. Lastly, looking at the regulatory significance of live location tracking and the panic button features for your project, it's reassuring to know that I've successfully integrated these functionalities into previous apps. Just like you stress the importance of adhering to timelines and milestones (which aligns excellently with my modus operandi), let's team up and bring your visionary ride-hailing app to life!

@RajAbhisek

Hi, The most precisely specified ride-hailing brief I have read here, and squarely my stack - Node/TypeScript, PostgreSQL/PostGIS, Redis, React Native. You know what you want, so I will speak to the parts that carry real risk. Dispatch is the heart of it. Nearest-available matching with a configurable acceptance window and auto-reassign on timeout/rejection is a Redis-backed state machine over PostGIS proximity queries, streaming location over WebSocket - and the correctness rule that matters is one driver never offered two rides, and a rejected/timed-out ride reassigns cleanly with no race. That is where I would spend the early effort and the tests. Your OSRM-not-Google call is right; I have run self-hosted OSRM with MapLibre, and it also removes per-request routing cost. I would host it on the North India OSM extract with periodic refresh. The Xiaomi/Vivo/Oppo/Realme background-location piece is the real Android battle: a foreground service with persistent notification, queued location writes that survive process death, and clean reconnect mid-ride so ride state is never lost. Panic and live tracking I treat as first-class schema, as you require - not features. Honest note: 75k buys a lean but real MVP - I would sequence dispatch + driver app + PWA booking first, then admin depth and subscription ledger. Exotel call masking is straightforward. Ping me and I will walk through the dispatch design. Thanks, Raj

@KarthikTechCon

Hello, I’m Karthik, a software developer with over 15 years of experience in building robust applications. I am excited about the opportunity to create a city taxi booking platform tailored to your requirements. Proposed Solution: 1. Background Location: To keep the background location alive, I will implement a foreground service combined with battery optimization techniques such as using JobScheduler or WorkManager, ensuring it remains active on devices like Xiaomi or Vivo. 2. OSRM Deployment: Yes, I have deployed OSRM for a logistics project, enabling custom routing on a self-hosted server. 3. Network Loss Handling: If a driver loses network for four minutes, the location data will be queued locally and synced upon reconnection. The ride state remains intact, ensuring a seamless experience. 4. Demo App: I can provide a link to a live app featuring real-time tracking, showcasing my expertise in this area. Availability & Timeline: I can dedicate 30+ hours per week, with a realistic timeline of 12-14 weeks to deliver the MVP. I look forward to discussing this exciting project further! Best, Karthik

@albert1025dev

Hi - Albert here ==== I can build your ride-hailing MVP using Node.js/TypeScript, PostgreSQL/PostGIS, Redis, React Native, WebSockets, and a mobile-first PWA. I’ll implement reliable background location using Android Foreground Services, battery optimization handling, reconnect-safe location queues, and manufacturer-specific handling for Xiaomi/Vivo/Oppo/Realme. For OSRM, I can deploy a self-hosted instance for routing, distance, and ETA. During network loss, ride state remains persisted locally/server-side, while timestamped location updates are queued and synchronized safely after reconnect. I’ll also build the dispatch service, driver app, passenger PWA, admin panel, multilingual support, panic workflows, call masking, and Indian-region deployment, with regular GitHub commits from day one. Availability: 30–40 hrs/week Timeline: 8–10 weeks I can provide relevant real-time tracking project/demo details privately. Looking forward to work with you

@guptakishan805

With five plus years of experience as a full-stack developer, I'm confident that I am the perfect candidate to build your Ride-hailing MVP. My proficiency in Android, API Development, Backend Development, Frontend Development, Mobile App Development, Node.js and PostgreSQL is not just theoretical; I have successfully implemented these skills in various projects including similar ones. For instance, I did a recent project involving real-time location tracking like yours; it's live on the Play Store and web demo available for you to run. Moreover, my proactive approach allows me to anticipate and solve challenges with ease. The Xiaomi and Vivo battery manager challenge you posed won't be an issue because I use foreground service to maintain background location survival during network disruption. Additionally, I have deployed OSRM routing engine on projects before this makes me competent to meet your project's routing needs via self-hosted OSRM and MapLibre with open tiles while avoiding Google Maps Directions API completely - keeping all the data stored on Indian-region infrastructure. In summary, hiring me guarantees that you have a dedicated professional equipped with the technical skills, real-world experience (a live app with real-time location tracking), problem-solving capability and effective communication required for this project. I believe in delivering result-oriented projects built for long-term success.

@Mayanks010

Hi, Thanks for sharing your project. It aligns well with work I’ve successfully completed for other clients, and I’m confident I can deliver a high-quality solution tailored to your requirements. Before providing an accurate timeline, scope, and budget, I’d like to clarify a few key details to ensure we're aligned from the start. Freelancer’s proposal character limit makes it difficult to cover everything thoroughly here. If you're available, let's connect via chat. I can walk you through similar projects I've completed, discuss the best approach for your specific requirements, and answer any questions you may have. Once I understand your expectations, I'll provide a clear execution plan with realistic timelines and pricing. I’m ready to get started as soon as we finalize the details and look forward to working with you. Best regards, Mayank Sahu