Swift LiDAR 3D Prototype

@dharmik18

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Mobile App Development, iPhone, Cocoa, Objective C, 3D Modelling, Swift, iOS Development, ARKit Please come over chat and discuss your requirement in a detailed way. Thank You

@nuanceinfotech

Hi, I can build a lightweight LiDAR-based 3D scanning prototype exactly as you described. The app will: Show a single button to start/stop scanning Generate an STL file immediately after scanning Display the mesh in-app for visual confirmation Save the file locally, with optional Google Drive upload I’ll use Swift + ARKit/RealityKit, targeting iOS 17+ LiDAR-equipped devices. No extra UI, splash screens, or unnecessary features—just clean, extendable code. Deliverables: Xcode project that builds and runs on iOS 17+ STL export, in-app preview, local save, optional Drive upload Brief README with build/run steps and any entitlements/API keys I’ve worked on AR/3D scanning prototypes and Swift apps, so I can deliver a stable POC quickly and efficiently. Happy to start immediately and provide updates along the way. Regards, Sourabh

@arbu1499

Your requirement for a single-button LiDAR scan → STL generation → in-app preview → local save is crystal clear, and this is exactly what ARKit’s Scene Reconstruction + RealityKit mesh export is perfect for. I’ve worked with LiDAR mesh capture on iOS 17 devices and can match the fast reconstruction quality you’ve seen in Antigravity using clean, extendable Swift code. The STL export, preview, and file handling (with optional Google Drive upload) fit neatly into a lightweight proof-of-concept without any UI overhead. I’ll deliver a tidy Xcode project and README so you can build and extend it immediately. Looking forward for your positive response in the chatbox. Best Regards, Arbaz H

@ibrahimsoft004

With years of experience in mobile and web development, specializing in building scalable, high-performance applications across various platforms, I strongly believe I am the best fit for your Swift LiDAR 3D Prototype project. I take pride in my understanding and expertise in Swift and iPhone app development. Over the years, I have worked on several iOS apps that include ARKit/RealityKit and mesh processing, making me highly proficient with the knowledge you seek. My track record is proof of my ability to build comprehensive solutions while adhering to client specifics. Your project's core requisites - fast reconstruction, previewing scans, local saving, in-app interaction - these are all areas I have excelled in during my tenure. My diligent approach to design ensures clean code that's always ready for extension when it comes to future-proofing our program. Additionally, my broad spectrum of skills extends beyond just Swift to include efficient usage of Google APIs like Google Drive upload flow you mentioned, thus reducing workload on your end. My commitment has always been to deliver work that exceeds expectations and aligns deeply with clients' business goals- with this example being no exception. I'm truly excited about the opportunity to work on this prototype with you!

@jagratip3

Hello, I can build this proof-of-concept exactly as described: a minimal iOS app using Swift and native LiDAR APIs (ARKit + RealityKit) that performs fast 3D scanning, exports a single STL, previews it in-app, and saves it locally. The app will launch into a clean, single-screen interface with one action button. Tapping it will start LiDAR mesh capture using ARMeshAnchors; stopping the scan will immediately reconstruct the mesh, export it to STL, and render it in-app for visual confirmation. The STL will be saved to a known local path for offline access. If desired, I can also add a lightweight Google Drive upload using Drive API (kept optional and isolated so it doesn’t bloat the prototype). I’m performance-focused and familiar with LiDAR reconstruction limits and capabilities on iPhone Pro devices, aiming for scan and processing speed comparable to tools like Antigravity. No splash screens, no extra UI, no unnecessary abstractions—just clean, readable Swift code you can extend later. You’ll receive: Xcode project (Swift) targeting iOS 17+ on LiDAR devices Working LiDAR scan → STL export → in-app preview → local save (+ optional Drive upload) Short README with build steps, entitlements, and any API keys If the prototype behaves as specified, I’d be happy to continue into a full feature build. Best regards,

@uniqedeveloper

Hello There, I'm ready to work on lower rate e.g. 400 INR per hour as i'm new on freelancer but having more than 10 Years of experience. I totally understand this pain. LiDAR prototypes usually fail not because of ARKit itself, but because mesh capture, STL export, and performance tuning aren’t wired together cleanly. I’ve built ARKit/RealityKit prototypes on LiDAR-equipped iPhones where the goal was exactly this: press once, scan fast, generate a usable mesh, and export it in a standard format. In a past POC, I used ARMeshAnchors with Scene Reconstruction to generate geometry, converted the mesh to STL, rendered it back in-app for verification, and saved it locally for offline use. Performance was kept tight by controlling mesh density and batching updates—similar to what tools like Antigravity do under the hood. For your prototype, I’ll keep the UI minimal: a single button to start/stop scanning, then immediate processing. The STL will be generated, previewed inside the app, saved locally, and optionally uploaded to Google Drive if it doesn’t bloat the scope. Code will be clean Swift, iOS 17+, and easy to extend later. Let me know when you’re available to discuss this further—I’d be happy to walk you through my approach or showcase examples relevant to this project. Looking forward to hearing from you! Best regards, Mulayam

@mahads31

With a passion for digital innovation and a proven track record of delivering complex projects, particularly in iOS development, I am confident my team at Prime Code Tech can excel at creating your Swift LiDAR 3D prototype. Our expertise covers not only leveraging the latest technologies such as ARKit and RealityKit but also building performant, robust applications aligning with your precise requirements. Having worked on end-to-end projects, we understand the importance of an efficient proof-of-concept that lays the foundation for a scalable full-feature build. Your emphasis on performance strikes a chord with us; we believe in delivering solutions that are not only feature-rich and visually appealing but also lightning-fast. This is reflected in every line of our code, we know you need not just an STL file as output, but one that offers a prompt and accurate representation of the scanned environment - so you can readily assess its quality. Moreover, since we understand how precious these data could be for offline use, rest assured that we will ensure proper local saving while simplifying the process for Google Drive upload(optional).