Smart Photo Selector App

@jastp

Greetings from Logictrix! My name is Jas, and I am looking forward to discuss about your app in details over the Chat or Call. We have enough app developers available in team so I can assure you to deliver this project at a fairly low cost with great quality and with a commitment for long term support. *** We have now earned 'Expertise' level in AI, ChatGpt and a couple of other AI platforms for App development and other Chatbot work! *** We have developed around 400+ Android and iOS apps using Native and Flutter SDK in the past 15 years, Many apps are Live in Google play and App store. We will share our detailed portfolio over the Chat once we connect. Looking forward to your reply... Thanks and Regards Jas

@KESHAVINFOTECH

Hi There, 1.I want an app that scans the phone’s camera roll, recognises the same p... ==> We got the idea. You want an app to automatically find and group photos of the same person from your camera roll. This is a great concept. We have done similar projects in the past that involved image processing and sorting. One interesting feature we implemented in a past project was an intelligent suggestion system that could pick the best photo from a group of very similar shots, like finding the one where everyone is smiling. The selection process you described is very clear. We will build the filters to let you select photos individually, by a date range, and by location. Combining these filters will also be possible. Integrating the standard system share sheet is a standard process, so sending photos to WhatsApp, Messages, or any other app will be smooth. We understand accuracy is very important. ## Queries : 1. When a photo is in the Unsorted bucket, what is the exact process for a user to move it into the correct persons group? ## Initial Project Structure : - Main Gallery - People Groups - Individual Person Gallery - Photo Selection & Filter - Settings We use advanced AI tools (Cursor, Claude, ChatGPT) to speed up coding and reduce manual work hours. We pass these time-savings to you, providing a high-quality app at a very competitive price. Waiting for your reply. :-) Regards, Ghanu & Samir. KESHAV INFOTECH

@AwaisChaudhry

Hello! I’ve read your Smart Photo Selector idea and I’m excited to bring it to life. I’ll build a fast, on-device photo scanner that clusters faces, keeps privacy intact, and lets you pick exactly which shots to forward. The app will show grouped faces, then offer three strong filters (by date, by location, or both) plus individual picks, with an Unsorted bucket for any uncertain shots. I’ll use a solid on-device ML stack (Vision/Core ML, or another proven library) so no photo data leaves your device. The share flow will open the system share sheet after selection, making it easy to send via Messages, WhatsApp, AirDrop, email, etc. I’ll deliver clean source code and setup instructions for you to run and test on your device. What are the exact target platforms (iOS, Android, or both) and minimum supported OS versions? Do you have a preferred ML stack or should I choose the most robust on-device option (Vision/Core ML, ML Kit, or OpenCV) based on your device mix? How strict is the false-positive threshold for face grouping, and do you want a configurable tolerance? Should the app support multiple users or family profiles with separate libraries? Is it acceptable to require user approval for first-time access to photos and location data? Would you like in-app editing capabilities to adjust detected faces in clusters before final share? Do you want batch exports to support multiple recipients in a single share action? Any design preferences for the three filters’ UI

@irsolutions

With over 10 years of experience in mobile app development, I understand the need for a Smart Photo Selector App that accurately analyzes and groups photos based on faces. Your project requirement for efficient face clustering and photo filtering is a challenge I am confident in tackling. I have successfully delivered projects in the AI/ML domain, including image recognition and data clustering, which align with the requirements of your Smart Photo Selector App. My expertise in implementing user-friendly interfaces and seamless share-out workflows will ensure a smooth user experience for your app. I am well-versed in using Apple's Vision/Core ML and other face-clustering libraries to achieve accurate results while maintaining user privacy. My experience in building native and cross-platform mobile apps will guarantee a fully functional solution that meets your needs. Let's discuss the tech stack preferences and previous similar work to kickstart this project and deliver a quality app within your budget and timeframe. Looking forward to collaborating with you on this exciting venture.

@neerajdhameliya

Hello, Organizing thousands of photos to find specific people shouldn’t feel difficult. The problem with most “smart” photo galleries is that they either rely too much on automation (which often makes mistakes) or require too much manual work. I can build a simple, privacy-focused photo selector that combines smart face detection with easy filters like Date, Location, and Person, the same ways you naturally look for photos in your daily life. Technical Approach I recommend a Flutter-based app with fully on-device processing for maximum privacy and speed. No cloud APIs will be used. => Face Clustering: On iOS, I’ll use Apple’s Vision Framework via Flutter platform channels; on Android, ML Kit on-device detection, keeping all photos local. => Unsorted Fail-safe: Low-confidence matches automatically go into an “Unsorted” bucket to avoid messy clusters. => Tri-Filter UI: Users can select a person and instantly refine by date range or location to find photos fast. => Easy Export: One-tap sharing to WhatsApp, AirDrop, and other apps. With 8+ years in mobile development, I focus strongly on performance, efficient background processing ensures large photo libraries scan smoothly without draining battery. Looking forward to discussing your project. Best regards, Niral

@tangramua

Dear ,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Mobile App Development, iPhone, C# Programming, Face Recognition, OpenCV, iOS Development, Android App Development and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.   Best regards, Sales department Tangram Canada Inc.     

@OutsourceMan

⭐⭐⭐⭐⭐ Dear Valuable Client, CnELIndia, together with Raman Ladhani, can help bring your vision to life with a seamless, privacy-focused photo management app. We propose leveraging Apple’s Vision and Core ML for iOS and Google ML Kit/OpenCV for Android to implement accurate on-device face detection and clustering. Our approach will prioritize minimizing false positives by placing uncertain matches in an “Unsorted” bucket for manual review. The UI will emphasize your three key filters—individual selection, date range, and geolocation—with combined filtering supported. We will integrate the native share sheet for easy forwarding via Messages, WhatsApp, AirDrop, or e-mail. CnELIndia will handle end-to-end development and testing, while Raman Ladhani will optimize ML models and clustering logic for performance and accuracy. The final deliverable includes fully functional cross-platform apps with source code and setup instructions, ensuring you can maintain and test the app independently. We are ready to start immediately.

@n2rtechnologies

Hello, I am excited about the opportunity to develop your Smart Photo Selector App. I understand that you need an application capable of scanning the phone's camera roll and accurately recognizing the same person across various shots. This functionality is crucial for creating a seamless user experience, and I am confident in my ability to deliver a robust solution that meets your vision. My approach will involve a thorough understanding of your requirements to ensure that the app not only identifies individuals effectively but also provides a smooth interface for users to interact with their photos. I have experience in building applications that prioritize user engagement and satisfaction, which will be key to the success of your project. Looking forward to discussing your project in more detail. Regards, Nurul Hasan

@rbtech1984

Hello There!!! ★★★★ ( Smart face clustering photo selector app ) ★★★★ I understand you need a mobile app that scans the camera roll, clusters the same person across photos, and lets users filter and share selections easily. Accuracy and privacy-first on-device processing are key for this build. Services I will provide: ⚜ Face detection and clustering engine ⚜ Unsorted bucket for low confidence cases ⚜ Filters by date and geolocation ⚜ Bulk and manual photo selection ⚜ Native share sheet integration ⚜ Smooth gallery performance ⚜ Clean, intuitive mobile UI With 9+ years in mobile and AI-powered apps, I have built image processing and smart gallery features before. I really enjoy building privacy focused photo tools that feel fast and reliable. My approach: use Apple Vision/CoreML or Google ML Kit for on-device face grouping, optimized indexing, and a lightweight React Native or native build. Happy to discuss platform preference and timeline. Warm Regards, Farhin B.

@brayanstiven5

Hi, there, As an experienced freelancer specializing in Mobile App Development and Face Recognition, I am excited to propose a solution for your Smart Photo Selector App project. Leveraging my expertise in iOS Development and proficiency in OpenCV, I am confident in delivering a user-friendly app that streamlines your photo selection process. ✅ Utilizing Apple's Vision and Core ML technology, I will develop an app that accurately clusters faces, allowing you to make informed selections effortlessly. ✅ Implementing three versatile filters for individual, date range, and geolocation-based selection, the interface will intuitively reflect your organizing preferences. ✅ Ensuring privacy, the algorithm will categorize uncertain photos in an 'Unsorted' section for manual review. ✅ The final selection will seamlessly integrate with the system share sheet, enabling easy sharing through various channels. ✅ I will provide you with the complete source code and setup instructions for compiling and testing on your devices. Let's combine our efforts to create a tailored solution that simplifies your photo management workflow with precision and efficiency. Looking forward to working with you. Best Regards, Brayan

@devbaloni1983

Hello, I am an expert with 15+ years of experience in the technical world, delivering simple to complex websites, e-commerce platforms, membership systems, and custom portals. I ensure clear communication, continued support after delivery, and 100% client satisfaction. I specialize in Mobile App Development, creating fast, user-friendly, and feature-rich apps for both Android and iOS. My focus is on modern UI/UX, API integration, real-time features, and cross-platform compatibility, ensuring your app is scalable and future-ready. If you are looking for a dedicated Mobile App Developer who delivers quality, innovation, and timely results, I’d be happy to bring your project to life. Best regards,

@mobiwebsolutions

✋ Hi There!!! ✋ The Goal of the project:- To build a privacy focused mobile app that accurately clusters faces from the camera roll and enables smart filtering and seamless sharing. I carefully reviewed your requirement for on device face recognition, reliable clustering with an Unsorted bucket for low confidence matches, and flexible selection by individual photos, date range, and geolocation before triggering the native share sheet. I understand accuracy and privacy are critical, and I would leverage Vision with Core ML or ML Kit with OpenCV for secure local processing. With 9+ years experience as a full stack developer, I have built face detection and intelligent media management apps. • Automatic face clustering with manual correction option • Advanced filters by date, geolocation, and individual selection • Integrated system share sheet for seamless export I will provide clean UI design, database management for metadata indexing, performance optimization, testing, and full source code delivery with setup instructions. I have completed similar AI powered photo and filtering applications. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@iglobalvn

Hi, I can build this as a native iOS app using Swift + Vision + Core ML, which gives you high-accuracy, fully on-device face detection and clustering with strong privacy guarantees. Vision handles face embeddings; I’ll implement clustering (e.g., cosine similarity + DBSCAN-style grouping) and route low-confidence matches to an “Unsorted” bucket. Photo access via PhotoKit will allow efficient filtering by: • Individual selection • Date range (metadata-based queries) • Geolocation (GPS metadata + map filter) All filters combinable. Final selection opens the standard iOS share sheet (UIActivityViewController). Deliverables: • Production-ready iOS app • Manual regrouping/correction UI • Fast indexed photo scanning • Clean, documented source code + build steps If preferred, I can outline an Android (ML Kit) version too.

@mahig47

Hello! As per your project post, you’re looking to build a Smart Photo Selector App that scans the phone camera roll, recognizes the same person across photos, groups them accurately, and allows users to select and share images using filters such as individual selection, date range, and geolocation. The goal is to create a privacy first intelligent photo management app that simplifies finding, organizing, and sharing photos efficiently. My focus will be on developing an AI powered mobile app featuring: on device face recognition and clustering using Apple Vision Core ML or Google ML Kit for accurate and private processing, person wise grouped photo library with an Unsorted category for uncertain matches and manual correction, advanced selection tools with filters for individual photos, date range, geolocation, and combined filtering, native share sheet integration for seamless sharing via Messages, WhatsApp, AirDrop, and email, and optimized performance for handling large photo libraries smoothly. I specialize in building AI driven mobile applications with on device machine learning, image processing, and privacy focused architecture, with focus on performance, accuracy, and scalable design. My focus will be on delivering a production ready app with reliable face clustering and intuitive photo selection workflow. I am confident I can deliver an accurate, privacy focused, and user friendly Smart Photo Selector App tailored to your vision. Best regards, Nikita Gupta.

@Shaiwan

Hello!!! I HAVE ALREADY WORKED ON SIMILAR TYPE OF PROJECT, OPEN CHAT WINDOW I WILL SHARE MY WORK. I have two questions: Do you want the face recognition and clustering to run entirely on-device for privacy, or is limited cloud processing acceptable? Also, should the geolocation filter allow combining with date range and individual selection simultaneously? What I offer: ⭐ Automatic face clustering with high accuracy and minimal false positives ⭐ Filters for individual, date-range, and geolocation-based photo selection ⭐ “Unsorted” bucket for uncertain matches to allow manual correction ⭐ Seamless share sheet integration for exporting selected images ⭐ Cross-platform mobile app development (iOS and/or Android) ⭐ Full source code with setup instructions for compilation and testing I have 7+ years of experience in mobile app development, AI/ML integration, and computer vision using OpenCV, Core ML, and Google ML Kit. My approach: I will start by implementing on-device face clustering and verification, then integrate the filtering and selection workflows, followed by smooth share sheet functionality. Each module will be thoroughly tested for accuracy and performance. Let’s connect in chat to discuss the tech stack and timeline. Best Regards, Shaiwan Sheikh

@Alesha1018

Hi, how are you doing? I can build your photo-clustering app with accurate on-device face recognition, smart grouping, and seamless share-sheet integration. I have experience implementing face detection and clustering using native frameworks like Apple Vision/Core ML and Google ML Kit, ensuring privacy-first processing with no external servers involved. For your project, I recommend a native iOS build (Swift + Vision) for the strongest face recognition accuracy and performance, with clustering logic to group embeddings and automatically route uncertain matches into an “Unsorted” bucket. I’ll implement combined filtering (individual selection, date range, geolocation), bulk selection tools, manual correction controls, and system share-sheet export, along with full source code and setup documentation. Best regards, Alesha.

@kishanbwts

This app idea is clear and definitely doable with existing face clustering tools like Apple’s Vision or Google ML Kit. In a past project, I built a photo organizer that grouped faces with minimal false positives by tuning the confidence threshold and handling uncertain matches in a separate “review” folder—just like your “Unsorted” bucket. That gave users full control without frustrating mistakes. I’d start by running face detection and clustering on-device to keep photos private and fast. For filters, combining date range and geolocation is straightforward since most photo metadata supports that, and the UI can surface those prominently, as you requested. One question: do you want clusters and filters to update dynamically as new photos arrive, or just on app launch? Also, do you have a preferred platform, or should I focus on iOS first to leverage Vision? Once selection is final, integrating the native share sheet is a common pattern I’ve done many times, allowing seamless sharing across apps. I’m ready to build a clean, intuitive app that matches your flow and get you source code with setup steps so you can test it easily. Let’s get started.

@novatech2210

Hello! I've been recommended by a Freelancer Recruiter. Nice to meet you. I've just completed a similar photo organization project for another client who needed an intuitive way to select and categorize images based on facial recognition. I'm the perfect fit for this project because I've extensive experience with face detection using Apple's Vision/Core ML, Google ML Kit, and OpenCV, which will ensure high accuracy and efficient on-device processing for your Smart Photo Selector App. I'll leverage these technologies to create a seamless interface that allows you to easily select and filter photos by individual, date range, and geolocation. My goal is to deliver a fully functional app with automatic face clustering, efficient filtering, and a share-out workflow that passes selected images to the system share sheet. With my expertise, you can expect a minimal rate of false positives and a robust, private solution. Multiple 5-star reviews on photo organization and face detection projects. Happy to hop on a quick call (no obligation) to discuss architecture, timeline, and a clear plan + quote. Chris | Lead Developer | Novatech