Complete and Launch AI Image Detector

@infowider11

***** Production Polish & AI Image Authenticity Integration ***** I will take your existing Lovable-based mobile app from GitHub and refactor it into a clean, production-ready build for both iOS and Android, ensuring stability, performance optimization, and store compliance. For the image-recognition upgrade, I will integrate a reliable AI image-authenticity detection model (e.g., CNN-based forensic classifier or API-backed detection service) and surface clear, user-friendly verdicts directly inside the app. I’ll handle full build configuration, signing, provisioning profiles, protobuf settings, icons, screenshots, and ensure compliance with Apple App Store and Google Play review guidelines. Let’s chat.. Thanks

@diektech

Hi, This is Elias from Miami. I checked your repo-based Lovable build and I understand the mission: take what’s already working, harden it for production (refactor + testing), add a reliable AI-image authenticity detector with a clear in-app verdict, then compile/sign and get it approved on both App Store + Google Play with proper store assets and compliance. I’ve shipped mobile apps through Apple/Google review and I’m comfortable doing the “last 20%” work that usually blocks launches: build fixes, CI, profiling, crash logs, permissions, privacy disclosures, icons/screenshots, and clean release tagging in GitHub. For the AI-detector, I’d implement a model/API approach (depending on latency + offline needs) and validate it with a real test set so it’s not just “works on my phone”. Q1: What’s the current stack from Lovable (React Native / Flutter / native), and do you already have iOS/Android build pipelines set up in GitHub? Q2: For AI-image detection, do you need offline/on-device detection, or is server-side acceptable (faster updates + better models)? Q3: Which exact output do you want in-app: binary label (AI/Real) or a confidence score + reason, and should results be stored in user history? Previous work: production launches for cross-platform apps, ML-powered image features, and App Store/Play Store submissions with review fixes and release automation. Let’s connect and I’ll outline the fastest path to a clean build + reliable detector + approval. Regards.

@mahig47

Hello! As per your project post, you’re looking to complete and launch your AI Image Detector mobile app by improving the AI generated image detection module, refining the existing Lovable based codebase, and preparing the app for successful App Store and Google Play submission. The goal is to deliver a production ready app with reliable detection accuracy, clean builds, and full store compliance so real users can confidently use the platform. My focus will be on finalizing your AI detection app featuring: integration or enhancement of an AI image authenticity detection engine with clear in app verdict display, refactoring and stabilizing the existing Lovable project for clean iOS and Android builds, optimization of performance and reliability with proper error handling and testing, and complete store submission preparation including signing, assets, configuration, and GitHub version tagging. The app will ensure accurate detection functionality and smooth production deployment. I specialize in building and launching AI powered mobile applications, including computer vision integration, cross platform optimization, and App Store and Play Store compliance, with focus on stability, performance, and production readiness. My focus will be on delivering a polished, scalable app ready for public release and future AI model improvements. I am confident I can complete, optimize, and successfully launch your AI image detector app. Best regards, Nikita Gupta.

@ZohaibRoy

⭐⭐⭐⭐⭐ Enhance Your Mobile App with AI Image Detection and Store Submission ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for a skilled developer to polish your mobile app. Look no further; Zohaib is here to help you! My team has completed 50+ similar projects for mobile app development and optimization. I will improve your image-recognition module, ensure compliance with app store guidelines, and deliver a production-ready app. ➡️ Why Me? I can easily enhance your mobile app as I have 5 years of experience in mobile app development, specializing in iOS and Android platforms. My expertise includes code refactoring, app testing, and integration of AI features. Additionally, I have a strong grip on technologies like GitHub, Lovable, and app store submissions. ➡️ Let's have a quick chat to discuss your project in detail. I can also show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Mobile App Development ✅ Image Recognition ✅ Code Refactoring ✅ App Testing ✅ Store Compliance ✅ AI Integration ✅ GitHub Management ✅ iOS Development ✅ Android Development ✅ User Interface Design ✅ Protobuf Settings ✅ App Store Submission Waiting for your response! Best Regards, Zohaib

@CANWS

Hi there, I can take your existing Lovable-based app from “early-stage” to fully production-ready — including a reliable AI image-authenticity detector and complete App Store deployment. Here’s how I’d handle it: • Audit and refactor your current GitHub codebase so it builds cleanly for iOS and Android • Integrate or implement a robust AI model to detect AI-generated images and surface a clear in-app verdict • Optimize performance, error handling, and edge cases for production stability • Ensure compliance with Apple App Store and Google Play review guidelines • Configure signing, provisioning profiles, protobuf settings (if required), icons, screenshots, and store listings • Deliver final signed builds + tagged GitHub commits for traceability The goal isn’t just to “submit” the app — it’s to get it approved smoothly and ready for real users with confidence. If you share the repo and current build status, I can outline a clear action plan and timeline to get this across the finish line.