Offline Android Medical Transcription App

@corpmember29

I HAVE BUILT ON-DEVICE SPEECH-TO-TEXT SOLUTIONS FOR CLINICAL USE — READY TO DELIVER A REAL-TIME, 100% OFFLINE MEDICAL TRANSCRIBER FOR ANDROID. Hello — I’m an experienced mobile/ML engineer with hands-on work deploying Whisper/TFLite/PyTorch Mobile on ARM64 devices. I will deliver a compact, real-time, offline Android transcription MVP that prioritizes medical vocabulary accuracy and low latency. Core Features • Real-time streaming microphone pipeline (Oboe + NDK) feeding an optimized on-device model. • Model porting & quantization (Whisper/TFLite/PyTorch Mobile or Vosk alternative) for ARM64 with reduced memory footprint. • Medical vocabulary tuning (custom lexicons, boosting, or domain-specific fine-tune). • Punctuation & live captions rendered in a clean Kotlin UI (airplane-mode demo APK). • Lightweight settings panel for model/language selection and latency/quality trade-offs. • Build instructions, conversion scripts, licensing notes, and full source code. User Role• Clinician/User: Live captions, save/export transcripts, basic controls. • Admin/Engineer: Swap models, update lexicons, tune params. Estimate and milestones available on request. I can share prior examples and walk through a realistic plan to reach the demo stage quickly.

@OutsourceMan

⭐⭐⭐⭐⭐ Dear Valuable Client, CnELIndia, led by Raman Ladhani, can help you successfully deliver this offline medical transcription app by leveraging our deep expertise in Android, Kotlin/Java development, and on-device ML deployment. We propose the following approach: Port and optimize a lightweight Whisper/TensorFlow Lite model for ARM64, applying quantization to reduce memory while preserving accuracy for medical vocabulary. Implement a low-latency streaming audio pipeline using Oboe/NDK to ensure smooth real-time transcription. Build a clean Android front-end with live captions and a minimal settings panel for model selection. Validate medical terminology recognition with domain-specific datasets and provide full build instructions, including model download, conversion, and licensing. Deliver a demo APK running entirely offline on Snapdragon-class tablets, ready for your extended testing. We can start defining milestones immediately to get a working prototype fast.

@mrresearcher99

Hi there, I’ve reviewed your Android app requirements and would love to collaborate on your project. With 5+ years of experience in native Android development, I specialize in building high-performance, user-friendly apps with clean UI, optimized architecture (MVVM/MVI), and seamless API integration. I’ll start with a clear project roadmap, provide regular progress updates, and ensure the app is thoroughly tested for stability and performance before launch. Let’s connect to discuss your app idea in detail — I’m ready to bring your vision to life! Best, Bhargav Android Developer | Kotlin & Java Expert

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@ixorawebmob

Hi Lance, Hope all is good at your end! I’m excited about your project for an offline Android medical transcription app. Accurately capturing medical vocabularies in real time is essential, and I’m confident in creating a solution that meets your needs. I believe I am the best fit for this job because: - I have extensive experience optimizing machine learning models for mobile applications, ensuring low-latency performance. - I’m proficient in both Kotlin and Java, which will allow me to develop a clean and user-friendly front-end for your app. - My background with Whisper and TensorFlow Lite positions me uniquely to implement robust recognition of medical terminology. I’m ready to discuss the project further and set clear milestones, aiming to have a demo APK on a Snapdragon-class tablet soon. Thanks,

@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 and for web and backend on react js and node js, Python Django, Power BI, Scikit-learn, Data Science AI ML, PyTorch, TensorFlow, SparkML , java spring boot and php CodeIgniter mvc. Please consider me and initiate a chat for further detailed discussion. Regards, Anju

@ciss26

Hello there Hope you are doing well as you are looking for a "Build a MOBILE APPLICATION " so will make the same as you want , I have already develop and Design the so many Application , - I will use latest technology to develop your Application - I will share daily update with you - I Will deliver your project within timeline - After project completion will share complete source code - I will provide 1 year support our develop work - I have 10+ year experience in Web & App development - I will make the 100% responsive design , fast loading , SEO friendly and all - I will provide you super admin panel there you can manage the whole thing Please initiate the chat so will discuss together and all Thanks & Regards Dheeraj K.

@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

@rbtech1984

Hi There!!! ⚜⭐⭐⭐⭐⚜(( Real-time offline medical transcription on Android tablets ))⚜⭐⭐⭐⭐⚜ You need a fully offline Android app that transcribes medical consultations accurately, recognizing terminology, drug names, and clinical phrases. The goal is low-latency streaming from the device microphone with on-device inference using models like Whisper, Vosk, or equivalent, ensuring complete offline operation. I have experience deploying transformer-based speech-to-text models on Android with PyTorch Mobile and TensorFlow Lite, optimizing for ARM64 devices, and building efficient audio pipelines with Kotlin and NDK. My focus is delivering a smooth, accurate transcription experience with a clean UI and reproducible APK setup. Key Project Features: * Real-time, offline medical transcription with low latency * Robust recognition of medical vocabulary and clinical phrases * Fully documented build and model setup for future tuning I am ready to build a prototype that runs seamlessly on Snapdragon tablets, demonstrating accuracy and offline reliability. Let’s discuss milestones and device requirements to get started. Warm Regards, Farhin B.

@Fawadkaleem

As someone who has spent over five years specializing in mobile app development, particularly in Android and Kotlin, I am confident that I can deliver exceptional results for your Offline Android Medical Transcription App. My proficiency with frameworks such as Flutter and React Native showcases my dexterity in working on complex projects that demand seamless functionality in resource-constrained environments—precisely what you need for this offline app. Notably, my familiarity with Whisper, PyTorch Mobile, TensorFlow Lite, and similar platforms proves crucial here. I have successfully implemented high-performing speech-to-text functionalities before on various apps using these tools. These experiences will enable me to port the Whisper or equivalent technology onto your Android tablet smoothly while ensuring every medical term or phrase is accurately recognized - 100% offline. Moreover, my full-stack abilities ensure your app's end-to-end development needs - from the clean Android front-end in your preferred Kotlin/Java to even handling the lightweight settings panel - are met with precision. Finally, I’d like to highlight my commitment to transparent communication and timely delivery for a successful project lifecycle. Let's move forward together to build an intelligent and efficient transcription app that doctors can depend on!

@Riasatali78

I’m a native Android developer with 7+ years of experience, specializing in real-time ML, audio pipelines, and fully offline AI on mobile. I can build your on-device Whisper-powered medical transcription app with real-time streaming, medical-term accuracy, and complete offline operation. The solution will include ARM64-optimized models, Oboe-based audio capture, Kotlin UI, and a reproducible build with full documentation. I can also add HIPAA/GDPR-friendly local encryption if required.

@TechizeBuilder

Hi Lance R., I came across your project "Offline Android Medical Transcription App" and I'm confident I can help you with it. About Me: I'm a agency owner with over 8+ years of experience in Mobile App Development, Java. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@mahig47

Hello As per your project post you are looking to build an Offline Android Medical Transcription App that converts spoken consultations into text directly on the device while recognizing medical vocabulary accurately and without sending audio to the cloud. The goal is to deliver real time transcription with low latency full privacy and smooth usability on Android tablets or phones. My focus will be on delivering a complete offline speech transcription system featuring real time microphone streaming accurate recognition of clinical terms drug names and diagnoses on device inference with punctuation a clean Android interface for live captions and a simple settings screen for language and model selection. The platform will ensure fast processing full offline capability and reproducible builds through clear setup instructions. I specialize in Android Kotlin on device AI model optimization and edge inference with focus on performance privacy and efficient resource usage. My focus will be on building a reliable transcription flow that maintains accuracy while running entirely on local hardware. Let us connect to clarify device specifications preferred model size and target specialties that require vocabulary tuning. Best regards Nikita Gupta.

@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

@NEHABHAT92

Hi, I can create Offline Android Medical Transcription App I am an experienced APP developer and work on crypto currency development and equipped with all the necessary skills to provide you best website that completely satisfies your business needs. Please share your requirements with me over chat so we can proceed further. Best Regards, Neha

@mykhaylob4

✋ Hi there. I can build your offline Android medical transcription app with real-time streaming. ✔️ I have experience deploying Whisper and other transformer-based models on ARM64 Android devices, including PyTorch Mobile and TensorFlow Lite. I previously built an offline transcription app that handled domain-specific vocabulary with low latency, similar to your medical use case. ✔️ I will set up a streaming audio pipeline using Oboe/NDK to feed the model efficiently, implement live captions in a clean Kotlin front-end, and add a lightweight settings panel for language and model selection. I will optimize the model for offline use with quantization to keep memory and CPU usage low. ✔️ I will deliver a demo APK, full source code, and clear build instructions so you can reproduce and adjust the model later. The app will transcribe accurately without any cloud connection, even on Snapdragon-class tablets. Let’s chat so I can review your preferred model and plan the prototype. Best regards, Mykhaylo

@gustavoguanilo

As an experienced and adaptable software developer with a dedication to precision and innovation, I'm confident in my ability to deliver on all the key technical expectations for your Offline Android Medical Transcription App project. My extensive background in Full-Stack Development, including deep knowledge of Java and Mobile App Development, positions me well to take on the challenge of porting and optimizing Whisper (or any other equivalent model) to ensure your app's offline functionality while retaining its performance. Moreover, my proficiency in important tools like TensorFlow, PyTorch, Numpy, and Scikit-learn greatly enhance my abilities for this project. These skills enable me to understand the underlying architecture of machine learning models like Whisper and undertake necessary conversion techniques, while remaining mindful of potential memory limitations. Further solidifying my qualifications, I’ve previously tailored similar solutions using Snapdragon-class tablets that demonstrate offline transcriptions. Understanding the criticality of accurate medical transcription as well as respecting your preference for Kotlin (which I'm fluent in), I guarantee an intuitive Android front-end backed by a rigorous audio streaming pipeline that ensures top-notch performance without compromising latency or dropped frames.

@rosscarter1011

Hi there, Running heavy transformer models like Whisper directly on Android often results in severe latency and rapid battery drain, rendering real-time medical transcription impractical. If the inference engine isn't strictly optimized for ARM64 architecture using 4-bit or 8-bit quantization, the tablet will fail to keep up with natural conversation speeds, leading to missed critical clinical data. I specialize in deploying high-performance, offline ML models using PyTorch Mobile and NDK audio pipelines; I will deliver a Kotlin-based app with a fully quantized, medically-accurate Whisper implementation that runs smoothly in airplane mode. Here are two quick questions to ensure we hit your technical targets: 1. Do you have a preferred pre-trained medical dataset for the fine-tuning process, or should I implement a standard clinical model initially? 2. What is the minimum RAM configuration of the target Snapdragon tablets so I can determine the maximum allowable model size? Let’s discuss your project now!

@arehman171

Hi there, with 4 years’ experience in Android, Python, and on-device ML, I will port and optimize an offline speech-to-text engine (Whisper/Vosk/TFLite) for Android tablets and deliver a Kotlin demo app showing real-time, low-latency transcription with medical vocabulary support. I’ll handle model quantization and ARM64 builds, implement an efficient audio pipeline (NDK/Oboe), add punctuation/cleanup, and provide model conversion scripts, build instructions, and a tested APK for a Snapdragon-class tablet (airplane mode). Ready to scope milestones and start as soon as you share device details and priority medical terms—let’s get this prototype running.