Cross-Platform AI Health App Development

@augurstech

A Warm Hello! We are readily available to start working on this project! We will provide you companion app that combines AI-based diagnostics with real-time epidemiological mapping has the potential to create real, measurable impact at scale—and we would be proud to partner with you on it. We are an experienced full-stack and AI-focused agency with a strong background in health-tech, computer vision, and scalable mobile platforms, and your requirements align closely with systems we’ve successfully delivered. Key Points: - A reliable AI-assisted diagnostic tool - A data collection and surveillance platform - A field-ready solution for low-resource environments The key success factors here are: > Accuracy > Simplicity of use > Offline reliability > Scalable and secure data infrastructure We would be excited to collaborate closely with your team and contribute to this mission. Looking forward to your response. Best regards, Ana

@technosystem

With much enthusiasm and expertise, I extend my capabilities as an Android and iOS developer, specializing in crafting high-quality mobile apps. My previous work includes the design and deployment of various applications that interact with AI, map services, incorporate complex database management systems, and uphold strong security measures, all of which are crucial to realizing your vision for an intelligent health app targeting Schistosoma. Drawing from my experience in computer vision/AI integration using technologies such as TensorFlow Lite, ML kit (equivalent to the system you seek), I am well-placed to build the AI-powered interpretation feature within the app. I understand and appreciate the necessity for this component to be constantly improving and ready to adapt to new real-world data. Rest reassured that I can provide a cross-platform solution leveraging either Flutter or React Native frameworks without compromising performance or efficiency.

@irsolutions

I have over 10 years of experience in web and mobile development, specializing in Android and iOS applications. I understand the key requirements of your project for developing a professional AI Health companion app for a lateral flow diagnostic test targeting Schistosoma. In the past, I have successfully delivered projects in the healthcare sector, leveraging my expertise in AI/ML development and user-friendly app design. I have a proven track record of building intuitive interfaces for enhanced user experiences and have worked on projects involving data visualization and secure backend systems. With my experience in cross-platform mobile development and AI integration, I am confident in my ability to meet the core app requirements of the project. I am well-versed in Flutter and React Native frameworks, ensuring efficiency and consistency across Android and iOS platforms. I am excited about the opportunity to be part of this high-impact global-health project and contribute to the development of a life-saving diagnostic tool. I am ready to provide a detailed proposal and quote, including my relevant portfolio, estimated timeline and cost, technology stack, and any further clarifications needed. Please reach out to discuss further and collaborate on this important project.

@corpmember29

I HAVE READ YOUR REQUIREMENTS CAREFULLY AND UNDERSTOOD VERY WELL ABOUT THE PROJECT SCOPE AND START WORKING ACCORDINGLY IN STAGES. With over 10+ years of experience in programming and high-impact mobile health (mHealth) solutions, I am perfectly equipped to build this AI-powered diagnostic companion for Schistosoma. I specialize in developing cross-platform applications that bridge the gap between complex computer vision and field-ready usability. My approach utilizes Flutter and TensorFlow Lite to ensure that the AI interpretation happens directly on the device, Edge AI Interpretation: Implementing a custom image-processing pipeline using OpenCV to normalize lighting and shadows before running a quantized TFLite model to detect line intensity (Faint to Strong) with clinical-grade accuracy. Epidemiological Intelligence: Building a secure mapping layer using Mapbox/Google Maps API that visualizes heat maps of anonymized results, paired with a "Local-First" data sync to preserve GPS coordinates captured offline. Field-Optimized UX: Designing a high-contrast, minimalistic interface with a guided camera overlay to assist low-literacy users in capturing the perfect image every time. Secure Backend & Retraining: Architecting a scalable cloud infrastructure with an automated pipeline for iterative model retraining as new field images are uploaded and verified. I WILL PROVIDE 2 YEAR FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, Thanks.

@sunainawbst

AI Health App Development Hello I have read your project requirements, i can help you develop a reliable diagnostic companion app with AI interpretation and epidemiological mapping requires careful attention to accuracy, usability, and data privacy, especially in low-resource environments. I have experience developing cross-platform mobile apps with AI/ML integration, mapping systems, and secure backend architectures, and I would approach this as a production-grade health-tech platform from day one. Recently I have been working on Lovable AI for developing a gaming platform using it, complete with chat-based agent logic, expressive front-ends, and backend integrations. In other project, implemented a fully automated AI agent system for intelligent meeting creation using ElevenLabs Conversational AI and Gemini (via a custom agent brain). The flow integrates voice interaction, natural language processing, location precision, and frontend. Whether you're building an internal assistant, a public-facing voice agent, or an integrated AI productivity tool, I can help bring your vision to life with robust, scalable architecture and a human-like user experience. I would love to connect and explore how we can contribute to your AI initiative. ⭐Due to NDAs, links aren’t public—but once you open the chat, I’ll share live demos and walkthroughs. I’d be happy to discuss your technical goals and how I can help execute them efficiently. Thanks & Regards Ranjana

@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 Graphic Design, Mobile App Development, iPhone, Android, React Native, Flutter, Data Visualization, AI Chatbot, AI Model Development, 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.     

@rahuliitm69

Hi there, I got that you need a mobile app that can accurately read Schistosoma test results in the field, work offline, keep data private, and provide useful public health insights, all while staying simple for first-time smartphone users. I have my own team and we have experience building health-tech apps with Flutter, on-device AI for diagnostics, offline-first workflows, secure user accounts, and admin dashboards for mapping and reporting. Since this is a large project, I will start with designing the backend to store test results, manage user profiles, and handle offline-first sync securely. Then I will set up the Flutter app to capture test images, process them on-device to detect control and test lines, and guide users through a clear workflow. The results will be optionally mapped via Mapbox or Google Maps in the admin dashboard, where trends, heatmaps, and reports can be viewed. User accounts and data will be secured, and offline results will sync automatically or on request. I have a few questions: How many test images will be available initially for AI training? Do you prefer fully on-device AI or hybrid cloud retraining? What level of detail is needed for heatmaps and epidemiological dashboards? Should offline results sync automatically or be triggered manually? I would request to connect for a quick discussion to finalize priorities, timeline, and milestones. Thanks, Rahul A.

@Ekarthaan

Hi bumper100xx, Just last week I completed a similar task successfully, so I can get started on this without any ramp-up time. Two questions: 1) How should line intensity be reported—discrete categories (neg/weak/moderate/strong) or a calibrated continuous score with target sensitivity/specificity thresholds for each class? 2) Is the cassette geometry fixed across batches, and can the kit include a small fiducial/QR plus color patch to stabilize ROI detection and color/illumination normalization? Two suggestions: 1) Use on‑device TFLite (int8) for instant, offline inference with confidence scoring; route low‑confidence cases to a retraining queue (human‑in‑the‑loop) to accelerate model improvement. 2) For mapping, aggregate to H3/hex bins in PostGIS with tile caching and k‑anonymity thresholds to protect privacy while enabling fast, scalable heatmaps. Action Plan: - Phase 1: Discovery (1–2 wks): finalize labeling scheme, metrics, consent/retention, data residency, threat model. - Phase 2: Prototype (2 wks): Flutter app, guided capture (exposure/WB lock), ROI detection, offline queue. - Phase 3: Backend (2–3 wks): FastAPI/Node, Postgres+PostGIS, S3, auth (Cognito/Keycloak), admin dashboard. - Phase 4: ML (3–4 wks): training pipeline, augmentation, calibration, TFLite conversion, CI, metrics. - Phase 5: Mapping/UX (2 wks): hex heatmaps, clustering, low‑literacy flows, localization Best Regards, Sid

@mrresearcher99

Hi, This is a meaningful project and aligns well with my experience. I have 5+ years in mobile development (Android, iOS, React Native, Flutter) and have worked on apps involving AI integration, real-time data, and scalable backend systems. Proposed Approach: Mobile: Flutter / React Native (cross-platform, high performance) AI/ML: TensorFlow Lite / ML Kit for on-device test line detection & intensity analysis Backend: Node.js / Firebase (secure, scalable APIs & data sync) Database: Firestore / PostgreSQL Maps: Google Maps SDK (heatmaps, geolocation tracking) I can build: Camera-based AI test interpretation with continuous model improvement Offline-first workflow with background sync Secure user authentication & private test history Real-time epidemiological mapping with admin dashboard I understand the importance of simplicity, low-connectivity usage, and data privacy for such healthcare solutions. Timeline: MVP in ~8–10 weeks with phased delivery Support: Available for long-term improvements and AI model iteration I’d be happy to share relevant work and discuss a detailed roadmap. Looking forward to collaborating on this impactful solution. Best, Bhargav

@nikhilgarg96

Hello, I’m very interested in your global-health mobile application project and would love to contribute. With 9+ years of experience in cross-platform development and AI-integrated solutions, I have built scalable apps using Flutter/React Native combined with secure cloud backends. For your companion diagnostic app, I propose: Frontend: Flutter (single codebase for Android & iOS, fast, reliable, offline-first support) AI/ML: TensorFlow Lite / Google ML Kit for on-device image analysis (test line detection, intensity classification) Backend: Node.js or Django + AWS/GCP (secure APIs, encrypted storage, scalable infrastructure) Mapping: Google Maps SDK with heatmaps & geo-aggregation Data & Privacy: GDPR-compliant architecture with anonymisation and secure authentication (JWT/OAuth) I have experience working with image processing workflows, API integrations, and user-centric UI design—ensuring simplicity for low-literacy environments. I can also structure the system to support continuous AI model retraining using real-world data. Estimated Timeline: 10–14 weeks (phased delivery: MVP → AI refinement → mapping & dashboard) Estimated Cost: $15,000 (depending on AI complexity & backend scale) I would be happy to share relevant work samples and discuss your dataset, AI accuracy expectations, and deployment strategy. Looking forward to collaborating on this impactful initiative. Best regards, Nikhil...

@technologybeach

With over a decade of experience in full-stack development, spanning from native mobile apps to cloud-based systems, I am primed to tackle your project with the agility and precision it deserves. Your ambitious goal of combatting Schistosoma demands not only technical skill but also great dedication and compassion. I firmly believe my robust mobile app engineering skills would be a perfect fit for this health initiative. Your project's standout requirement is the integration of computer vision with AI/ML to interpret test results accurately. My expertise in cross-platform frameworks like Flutter and React Native, coupled with profound knowledge of AI/ML tools such as TensorFlow Lite and ML Kit, makes me well-equipped to fulfill your needs. I have a track record of developing intuitive and minimally complex user interfaces that will cater perfectly to low-literacy, first-time smartphone users in field settings. Additionally, my comprehensive understanding of data privacy (GDPR compliance), secure backend infrastructure, and healthcare software standards will guarantee your project meets the highest industry standards. I'm confident that I can deliver a top-notch product, future-proofed for ongoing OS updates while adhering to best practices for data privacy and accessibility. Together, we can build an innovative and impactful solution capable of transforming disease surveillance in sub-Saharan Africa and beyond. Let's get started!

@XanvraTECH

Hello, I am a seasoned mobile app developer with expertise in Flutter, React Native, AI Chatbot, and AI Development. I have a strong background in graphic design and creating user-friendly interfaces. I understand the requirements for the Cross-Platform AI Health App Development project and am excited about the opportunity to work on this impactful global-health initiative. I propose to utilize my skills to develop a professional and intuitive mobile application that integrates AI-powered test interpretation and real-time epidemiological mapping features. I am confident in delivering a high-quality solution that meets the core app requirements outlined. - MY WORK STATS: ✨ https://www.freelancer.com/u/XanvraTECH I suggest a follow-up discussion to further explore how I can contribute to this project. Best regards, Warda Haider

@rinsadsl

Hello Good Day! Having developed complex applications across multiple platforms, with fluency in Android and Flutter, as well as iOS proficiency, I am confident that our team at can deliver an app that meets your needs. Additionally, our expertise in computer vision and AI integration is perfect for building a high-performance testing algorithm that analyzes and interprets the test lines with precision, leveraging platforms like TensorFlow Lite or ML Kit. Furthermore, our competency in mapping services perfectly aligns with your requirements of real-time epidemiological mapping. We can build a user-friendly platform displaying interactive heat maps or markers illustrating disease prevalence within target regions. Alongside this, we understand the gravity of handling medical data and will implement highly secure backend, adhering to data privacy standards like GDPR. Rinsad

@zainalitariq245

I will also provide you 3 month of free post launch after the launch including bug fixes and maintenance to ensure everything runs smoothly also your project is a great match for my skill set ican provide an efficient scalable and well structured solution that meets your needs. Hi, Ready to begin today and finish asap, I saw your project about cross Platform Companion App for Schistosoma Lateral Flow Test and I can build a professional, intuitive mobile application for both iOS and Android using Flutter or React Native. I will implement AI powered test interpretation with the device camera, map anonymised test results in real time, provide secure user profiles and offline-first functionality, and ensure the app is fully responsive and easy for first-time users in field settings. I have strong experience developing cross-platform health and diagnostic apps integrating computer vision models (TensorFlow Lite, ML Kit), GPS/mapping services, secure cloud backends, and GDPR-compliant user management. I can create a scalable system that supports iterative AI training, offline data capture, and seamless data syncing while maintaining simplicity for users in low-connectivity environments. NOTE: I have carefully gone through your project details and can assuredly deliver what you require. Kindly review my portfolios, https://www.freelancer.pk/u/zainalitariq245 Looking forward to discussing your project further. Best Regards, ZAIN A...

@dvcontact

Hello Sir, Would you like to see a demo of an innovative health app that can revolutionize disease diagnostics before even committing? Our unique AI-driven approach combines real-time test analysis with powerful epidemiological mapping, ensuring impactful health surveillance in challenging environments. Let's connect to discuss how we can transform health diagnostics for Schistosoma together. Best, Smith

@pinkeegupta

Hi I will be able to help you in your health App. I have done some Health related App before also. 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

@kareemmaize

Hi there To deliver a reliable companion app for your lateral flow test, the most critical part is accurate “AI-powered test interpretation” combined with a seamless “real-time epidemiological mapping” experience. I’ll approach this by building a robust computer vision pipeline for line detection and a secure backend that continuously improves model accuracy from real-world data. This means I understand how to handle faint vs strong line classification, variable lighting conditions, and ensure results remain consistent even in field environments. My process is simple: Design a guided, low-friction UX for capture → analysis → mapping Develop the AI inference pipeline with retraining support Build a scalable backend with secure data aggregation and offline-first sync I’m ready to begin with a working prototype of image capture + AI inference, then iterate quickly toward full deployment. If this direction aligns, we can discuss in detail in chat..

@AITSoft

As a seasoned software development team with a deep range of skills, we are perfectly positioned to contribute meaningfully to your ambitious global health project. Our extensive experience in cross-platform mobile development, computer vision/AI integration, mapping services and secure backend systems aligns perfectly with the core requirements of the AI Health App development project. We’ve done interesting work using TensorFlow Lite, ML Kit and exhibited our expert use of mapping APIs and low-connectivity strategies. Our design philosophy is also a great fit for your target audience - robust yet minimalistic interfaces so anyone can pick it up easily, even field workers with minimal smartphone exposure. Most importantly, we understand the high stakes aspect of your project. Not only do we have the relevant skills but our adaptable working style will ensure we retain fluidity in coordinating efforts with your team. With us, you aren't just getting developers; you're engaging a partner you can rely on to put in 110% effort towards making this health app not just functional but transformative in its impact.

@temoberishvili

Hello, I’ve carefully reviewed your project and it’s a meaningful and technically exciting build. I understand you need a reliable cross-platform app that combines AI-based lateral flow interpretation with scalable mapping and secure data handling for real-world field use. I have experience building Flutter-based mobile apps with camera processing, ML integration (TensorFlow Lite), and cloud backends (AWS/Firebase). I’ve also worked on image classification pipelines where models improve over time using real user data, which fits well with your iterative training requirement. For your solution, I would propose Flutter for the app, TensorFlow Lite for on-device inference, and a scalable backend (Firebase/AWS) with APIs for data sync, analytics, and retraining pipelines. Offline-first architecture and a very simple guided UX will be a priority. I can deliver this in phases (MVP → AI refinement → scaling & dashboard), ensuring stability and usability in low-connectivity environments.