AI-Powered Android APP Development

@AwaisChaudhry

As an established figure in the tech industry, my experience and skills align perfectly with all of your project requirements. I have a deep understanding of Android development, as indicated by my proficiency in Kotlin and Java – both essential programming languages for AI-powered apps. Additionally, my fluency in Flutter lends itself perfectly to building clean UIs that can effectively and aesthetically display detection results in real-time. Most preferably for this project, I have hands-on expertise in integrating ML models like TFLite and ONNX into Android apps, optimizing model performance for mobile CPUs such as Snapdragon 6, and creating offline functionality. Combining this experience with an astute understanding of REST APIs and async operations allows me to establish a seamless connection between your apps and AI APIs for cloud-based processing. Moreover, I have significant familiarity with computer vision, which further enhances my capabilities in realizing this project. Having worked on projects ranging from Blockchain to Game Development makes me both well-rounded and open-minded to new challenges – ensuring a dynamic approach in bringing AI-powered vigilance to your Android app. Let me back up these claims with practicality: My GitHub is stocked with relevant personal projects that will testify to my efficiency as a developer!

@eclairios

Hello, I'm enthusiastic about building AI-powered Android apps. My expertise in integrating ML models for real-time on-device and cloud analysis aligns perfectly with your project. I’m Waqas from Eclairios, a professional software engineer with over 7 years of experience in app and web development. I have successfully completed 128 projects, earning a 5.0 rating from satisfied clients. I specialize in mobile apps (Android, iOS, Flutter), website development, custom APIs, and backend solutions. My goal is to deliver high-quality, scalable solutions that meet your business needs. 1. My GitHub: I maintain active code repositories. 2. Past projects: Delivered Android apps with real-time data processing, camera integration, and optimized UIs. Experience includes REST APIs and performance. 3. Why I am a good fit: My strong Android (Kotlin), ML model integration (TFLite, ONNX) for on-device inference, and cloud API expertise are ideal. I excel in real-time video processing, UI for detection results, and Snapdragon CPU optimization. Ready for test task. Why hire me? ★ 100+ Projects Completed with 5-star rating. ★ 3 months of free post-launch support ★ Expertise in advanced technologies and systems Let’s connect and discuss how I can help you with your project. Best regards, Waqas

@corpmember29

ANDROID DEVELOPER WITH AI EXPERIENCE—I HAVE BUILT REAL-TIME MOBILE APPS INTEGRATING ML MODELS ON-DEVICE AND VIA CLOUD. I can help integrate your detection models (YOLO, TensorFlow Lite, ONNX) into Android apps with offline inference, optimized for Snapdragon CPUs, and display results in a clean, responsive UI. My approach includes: On-device ML model deployment for real-time detection Cloud API integration for extended AI processing Cmera feed integration and smooth async handling Performance optimization for mobile hardware Relevant Experience: Developed Android apps with TFLite object detection and pose estimation Integrated ONNX models in production apps for offline inference Bilt sports analytics apps showing live video detection overlays ublished apps on Google Play with AI/ML features I am confident in delivering a stable, optimized app and completing the paid test task to demonstrate skills.

@joomextensions

Hello Sir, Please share the task details so we can proceed. We have over 12+ years of experience in this field, and I also have strong hands-on expertise as an Android developer, particularly in integrating AI/ML models into mobile applications. I’m confident we can complete the task efficiently and to a high standard. Regards Harsh Thoriya

@Julian29

Hello, I have 10+ years of experience in mobile development and AI integration, I can deliver a stable and optimized solution. I have reviewed your requirement and understand that you need an Android developer to integrate AI/ML detection models into a mobile app with real-time camera preview, on-device inference, and cloud-based processing. Why I’m a Strong Fit • AI Model Integration: Experienced with YOLO, TensorFlow Lite, and ONNX models for real-time detection on Android. • On-Device Optimization: Skilled in quantization, acceleration, and efficient threading to ensure fast inference on Snapdragon-class CPUs. • Camera & Video Processing: Strong background in camera integration, frame processing, and rendering detection results with low latency. • Cloud API Connectivity: Proven experience with REST APIs, async operations, error handling, and data synchronization. • Clean UI & Performance: I deliver responsive UI, smooth detection overlays, and efficient memory management. What I Can Deliver • Integrate the provided model into a basic Android app for the paid test task • Real-time camera preview with bounding boxes and labels • Architecture supporting on-device and cloud inference • Performance tuning and documentation Github: Available on request Past Projects: AI camera apps, detection tools, and ML-integrated solutions Why I’m a Good Fit: Deep Android + ML experience, performance focus, clean coding Awaiting your positive response. Thanks

@kodecubeinfosys

Hello With over 12 years of experience, our team at [YourName] is the right pick for this project. We have a wealth of knowledge in Android development (specifically Kotlin), mobile AI deployment using TFLite and ONNX, REST APIs, and real-time video processing. We also understand the need for optimization when it comes to model performance on Android devices with specific chipsets. Our extensive portfolio includes several projects that showcase our expertise in integrating AI/ML models for various purposes. Moreover, we have significant experience in computer vision which is a nice-to-have skill mentioned in your project description. At [YourName], we take pride in our ability to not just write code but solve business problems with technology - something that aligns closely with your project brief! We believe our prior experience in successfully delivering AI-based projects will enable us to ensure the smooth integration of custom detection models, offline functionality, cloud-based processing, and clean UI implementation for real-time detection results presentation. We look forward to hearing more about your project's specifics! Regards DJ

@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, Android, User Interface / IA, Kotlin, Flutter, Mobile Development, Computer Vision, REST API, AI Model Integration, AI 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.     

@webbookstudio

Hello, there. We can create a powerful AI-powered Android app with custom detection models and seamless integration. We have years of experience in website design, graphic design and logo design (photoshop, illustrator), banner design, brochure design, 3d design(Blender, 3d-max, WebGL). Please, review our experience here - https://www.freelancer.com/u/webbookstudio. We will be glad to chat with You and discuss your task. Waiting for Your reply! Best regards.

@pinkeegupta

Hi I have read your requirements and I am sure I will be able to help you. 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, java spring boot and php CodeIgniter mvc. Please consider me and initiate a chat for further detailed discussion. Regards, Anju

@MashoodurRehman1

I am an experienced Android developer with a strong track record in building AI-powered mobile applications. My proficiency in Kotlin and Java, combined with hands-on experience in integrating machine learning models like YOLO, TensorFlow Lite, and ONNX, aligns well with the requirements of this project. I have a solid understanding of on-device inference for offline functionalities and seamless integration of AI APIs for cloud-based processing. My previous projects involved optimizing model performance for Android devices, particularly focusing on resource constraints like Snapdragon CPUs. I have developed and published apps with real-time video processing and AI/ML features, highlighting my capabilities in handling camera integrations and ensuring async operations. My familiarity with building clean UIs ensures that detection results are displayed effectively in real time. I am keen to learn more about this project and discuss how I can contribute. Could you provide more details on the expected timeline and specific AI models you plan to use? My GitHub showcases relevant projects that reflect my skills and successes in this domain.

@ciss26

Hello, I hope you are doing well. I understand that you are looking to build a MOBILE APPLICATION and I would be happy to help. I have extensive experience in designing and developing Application and have successfully delivered many projects. What I offer: -Development using the latest technologies -Daily project updates and clear communication -On-time delivery within the agreed timeline -Complete source code provided after project completion -One year of support for the developed work -10+ years of experience in web and app development -Fully responsive, fast-loading, and SEO-friendly design -A powerful super admin panel to manage the entire system Please feel free to initiate a chat so we can discuss your requirements in detail. Thank you and regards, Dheeraj K.

@mobiwolf

Hello, I’m Oleksiy, CEO of Mobiwolf. We work with mobile products where performance, stability, and real-world constraints matter — especially when AI runs inside the app, not just behind an API. We’ve integrated on-device ML models into Android apps where latency, battery usage, and device variability (mid-range Snapdragon CPUs included) were critical. We approach this as mobile engineering first, AI second — clean architecture, predictable performance, and realistic trade-offs between on-device vs cloud inference. Your scope (YOLO / TFLite / ONNX, real-time camera, offline + API) fits well with how we usually build: modular pipelines, clear separation between camera → inference → UI, and measurable performance targets. We’re comfortable taking the paid test task — that’s a fair way to align expectations. Practical details • Availability: We can allocate a dedicated Android developer in 2–3 weeks • Engagement: We’re interested in long-term collaboration, not one-off tasks Requested info • GitHub: can be shared privately after initial alignment • Past projects: happy to walk you through relevant case studies (AI + camera-heavy apps) • Why Mobiwolf: we think in systems — camera, models, threading, UI, and device limits as one whole, not isolated features Best regards, Oleksiy Karaykoza CEO, Mobiwolf

@rbtech1984

Hello There!!! ⚜⭐⭐⭐⭐⚜(( AI-Powered Android App with Real-Time Detection ))⚜⭐⭐⭐⭐⚜ Your goal of integrating AI models for real-time analysis on Android devices is exciting, especially balancing on-device inference with cloud APIs for scalability. I have hands-on experience deploying TensorFlow Lite and ONNX models in Kotlin and Flutter apps, optimizing performance for Snapdragon processors, and building smooth camera-based UI for live detection. My approach is to ensure the model runs efficiently offline while seamlessly syncing cloud results when needed. 1 Real-time on-device detection with optimized ML models 2 Cloud API integration for advanced processing 3 Clean UI showing detection insights instantly Github: [insert link] Past Projects: AI-based sports analysis app, object detection Flutter app I would be glad to discuss your test task and plan the main integration for maximum performance. Warm Regards, Farhin B.

@LiveExperts

Hello, With my vast knowledge in Android app development and my proficiency in both Kotlin and Java, I am confident in my ability to execute the AI integration and mobile app development tasks you need. And I have the skillset specific to this project- integrating detection models like YOLO, TensorFlow Lite and ONNX, dealing with on-device inference, optimizing model performance for Snapdragon 6 CPUs, implementing clean UIs among others. My GitHub and past projects demonstrate my ability to bring AI/ML features to life în apps; most notably, I recently built an Android app for a smart home security system which employed real-time video processing using AI models. Throughout my career, I've strived to stay updated with the latest technological developments in areas including Machine Learning and Computer Vision. Thus I'm well-equipped Jogos, esportes e análise de vídeos ou mastering libraries like TensorFlow Lite or ONNX Runtime as well as API integration,camera integration and realtime video processing. °especially keen on is your project's offline functionality requirement. For instance,I've worked on an educational app that delivered content on areas with spotty internet connection using both offline media elements and cloud APIs rotations. In conclusion, if you somebappy with turn-around-time clubbed with accuracy please do get in touch - I'd be thrilled to bring my expertise in AI-Powered app development into your amazing project! Thanks!

@itswahabahmad

Having had 6+ years of experience in developing immersive and cutting-edge applications, I am confident that I can successfully undertake the "AI-Powered Android App Development" project. Although my profile has been focused on Unity Game Development, I have an exceptional command in Flutter and Mobile App Development - the core skills required for the task at hand. My expertise aligns seamlessly with the project's requirements and my background in VR/AR will ensure a unique approach to 'detecting' user needs and providing apt solutions. Moreover, I have effectively integrated Machine Learning (ML) models like MediaPipe, ONNX, TFLite into applications, making me well-versed with the skills necessary to integrate Custom Detection Models (like YOLO, TensorFlow Lite) into Android apps as you require. Additionally, my understanding of REST APIs and adeptness in handling asynchronous operations would enable efficient cloud-based processing - further validating my proficiency for the job.

@ayesha0124

Hi there, I'm excited about the opportunity to develop AI-powered mobile applications with you! With extensive experience in Android development and a robust understanding of integrating machine learning models, I am well-suited for this project. I have successfully integrated custom detection models in prior projects using TFLite and ONNX, ensuring optimal performance on various hardware, including Snapdragon CPUs. My solid background in Kotlin and REST APIs allows me to implement on-device inference and connect seamlessly to cloud-based processing. I understand the importance of providing a clean UI to display real-time detection results, and I am eager to bring this functionality to life in your app. I am available to start with the paid test task at your earliest convenience, ensuring you can evaluate my skills effectively. Thanks,

@shanec35

Hello, I have carefully analyzed your requirements and recently integrated YOLO and TensorFlow Lite models into Android applications with real-time camera preview, on-device inference, and cloud API fallback for AI processing, delivering fast and stable detection results. Your project requires strong Android development, efficient on-device model integration, camera pipeline handling, and real-time result rendering, and I will address this by integrating your provided model using TFLite/ONNX Runtime, optimizing inference for Snapdragon-class CPUs, implementing clean async pipelines, and building a simple UI to display detections in real time. Best regards, Elenilson

@sheikhasad2662

Hi, My name is Muhammad Asad Ali and I am a senior mobile developer with 8+ years of experience building Android and cross-platform apps with real-time camera and AI features. GitHub I can share my GitHub profile directly in chat (most client repositories are private under NDA, but I can provide demo and sample projects). Past projects I have built a real-time face scanning and head-pose detection app using on-device TensorFlow Lite and MediaPipe with live camera preview. I also developed a camera-based verification and classification app that runs offline on Android and switches to cloud AI APIs for advanced analysis and reporting. Why I am a good fit I work specifically on integrating AI models into mobile app architectures, handling camera pipelines, real-time inference, and performance optimization on mid-range Android devices (including Snapdragon 6 series). I focus on clean, maintainable code and low-latency UI updates, which fits your real-time detection and offline/online AI workflow perfectly. I am ready to complete the paid test task immediately. Regards, Muhammad Asad Ali

@SBITServices

Hi Dylan, I will seamlessly integrate custom detection models like YOLO, TensorFlow Lite, and ONNX into Android apps, ensuring efficient on-device inference and cloud-based processing. With expertise in Kotlin/Java/Flutter, ML model integration, REST APIs, and real-time video processing, I am well-equipped to optimize model performance and deliver a clean UI for real-time detection results. Let's discuss further. Regards, Sai Bhaskar