Malaria Detection Mobile App -- 2

@point2solutions

Hello, I am available to develop a complete Android solution that integrates a machine learning model to detect malaria parasites and classify species from thin blood smear images. Deliverables: Trained ML model for malaria detection and species classification Android application with camera and gallery image input Clean, professional, clinical-grade UI/UX Image preprocessing and inference pipeline optimized for mobile Fully tested and performance-optimized deployment I have experience in mobile ML and image processing applications and can deliver a production ready solution in structured milestones from model development to final app deployment. I look forward to your response. Best Regards!

@Srashtasoft

Hi, Your project combines two specialized areas: **medical image analysis** and **mobile healthcare application development**. What caught my attention is that you need not only a machine learning model for malaria detection but also an Android application that clinicians or field workers can use directly from the camera or photo gallery. I can help develop a solution that includes: ✓ Malaria parasite detection from thin blood smear images ✓ Parasite species classification (subject to dataset quality and labeling) ✓ Image preprocessing and quality validation ✓ Android application with camera and gallery support ✓ Professional clinical UI/UX design ✓ Prediction confidence scores and result visualization ✓ Offline or cloud-assisted inference options ✓ Model performance evaluation and reporting Recommended Architecture: ✓ Python (TensorFlow/PyTorch) for model development ✓ CNN/Transfer Learning-based image classification ✓ Android App (Kotlin or Flutter) ✓ TensorFlow Lite for on-device inference ✓ Secure data handling and audit logging A few important questions: 1. Do you already have a labeled malaria image dataset, or should publicly available datasets be used initially? 2. Which species need to be identified (Falciparum, Vivax, Malariae, Ovale, etc.)? 3. Is offline diagnosis required, or can the app use a cloud API? Best Regards, Jemin Sagar

@KrisuTechkul

Hi, Krishna here from Delhi. We are a team of 20+ engineers, have completed 300+ projects with 4.7 rating. Recently we have completed a similar project. Would like to chat with you to understand the requirements. As a dedicated software development and AI specialist, I am well-equipped to handle the complexities of your project. With considerable experience in Android app development and image processing, alongside a strong background in healthcare technology, I'm confident in my ability to deliver a powerful mobile app for malaria detection. Equally, my expertise in machine learning allows for a robust and precise implementation that's capable of training intricate models required for recognizing malaria parasites with up to 97% accuracy. Another critical advantage I bring is my proficiency in UI/UX design. For professional applications like yours, an intuitive and user-friendly interface significantly impacts usability. In combining my ML skills with your desired clinical user interface, we can ensure health professionals can seamlessly leverage the power of AI to aid early detection of Malaria parasites.

@InterconnectBPO

Hi, We are a full-stack web & mobile development team with experience in AI/ML-based image classification systems and Android app development, and we can help build this end-to-end solution. What we’ll build Android app (camera + gallery input) ML model for malaria detection (species + stage classification) Parasite detection + localization (object detection approach) Secure backend for model inference (or on-device if required) Clean clinical-grade UI for medical use ML approach CNN-based classification + object detection (e.g., YOLO / EfficientNet / similar) Training pipeline using annotated thin blood smear dataset Optimised inference for mobile deployment (TensorFlow Lite / ONNX) Deliverables Trained ML model + evaluation report Android APK + full source code Backend/API (if needed) Documentation for model usage and retraining Regards Interconnect Team

@mrresearcher99

Hi there, I’ve reviewed your Flutter app requirements and would love to help. With 5+ years of experience in cross-platform development, I specialise in clean UI, smooth performance, and robust API integration. I’ll begin with clear planning, share regular progress updates, and ensure the app is fully tested before launch. Let’s connect to discuss your vision — I’m ready to get started! Best, Bhargav Flutter Developer | Android & iOS 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

@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. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@nrajuu07

I'm a medical image analysis specialist and mobile developer with an MS by Research in Medical Image Analysis from IIIT Bangalore and hands-on experience building clinical-grade deep learning systems. I'll train a high-accuracy CNN-based model on annotated thin blood smear images for parasite species and stage classification with localization — targeting 97%+ accuracy — and deploy it in a professional, clinical-grade Android app supporting both camera capture and gallery selection. Deliverables include trained model, Android APK, and full documentation. Ready to start immediately.

@glanegonsalves

Hey there Glane here, I can help you build an Android-based Machine Learning application capable of detecting malaria parasites and identifying parasite species from thin blood smear images captured through the camera or selected from the gallery. The solution can include a complete pipeline covering dataset preparation, image preprocessing, model training and evaluation using deep learning frameworks such as TensorFlow/PyTorch, and deployment into a professional Android app with a clean clinical-style UI/UX. The app can support real-time inference, confidence scoring, and organized result visualization while maintaining reproducibility and scalability for future improvements. My experience with Python, computer vision, CNN architectures, TensorFlow Lite, Android Studio, and healthcare-related ML workflows would help ensure both technical accuracy and a polished end-user experience.

@webnsoftindia

Hello, I can build an AI-powered Android and iOS application for malaria parasite detection and species classification from thin blood smear images. The solution will support camera and gallery images, parasite localization, high-accuracy classification, and a professional clinical interface, with complete source code and documentation included. Thank you.

@iimtpradeepdash

Hi! The part about reaching over 97% accuracy for parasite species on thin smear images is tough — especially if you also want the app to mark the parasite location, not just classify it. Getting high-quality training data is just as important as the model. I built a mobile health diagnostic app recently where the model handled live camera input, annotation overlays, and gallery uploads. The UI was used by clinic staff, so care with clarity and speed was key. For your app, I'd use Flutter for Android delivery, with an on-device ML model (TFLite) for privacy and speed. Locating the parasite means building in object detection, not just simple classification. One thing to confirm — do you already have a labeled dataset, or will you need help sourcing and annotating images? This sets the ML scope. Happy to sketch a 1-page plan showing camera flow, ML pipeline, and annotation UI. You can also check some of my past work at work.techindika.com. — Pradeep

@KarthikTechCon

Hello, I’m Karthik, a Full Stack & AI Developer with 15+ years of experience in Machine Learning, Computer Vision, and mobile application development. I can help build an Android application that detects malaria parasites from thin blood smear images using a deep learning-based image analysis pipeline. ✔ ML Model Training for Parasite Detection & Classification ✔ Parasite Localization using Object Detection Models (YOLO/Detectron/TensorFlow) ✔ Species & Stage Classification ✔ Camera & Gallery Image Support ✔ Professional Clinical UI/UX Design ✔ Android App Development (Flutter/Native Android) ✔ Model Optimization for Mobile Deployment ✔ Testing, Documentation & Source Code Delivery The final solution can provide parasite detection, localization, species classification, confidence scores, and detailed result visualization within a clinical-grade mobile interface. I have experience developing AI-powered healthcare and image-processing solutions and would be happy to discuss dataset availability, annotation quality, expected accuracy, and deployment strategy. Regards, Karthik 15+ Years Experience | AI/ML | Computer Vision | Android | Healthcare Applications

@utamshingala

Hi, Quick question: Do you already have a labeled malaria blood smear dataset available for training, or would the ML model development and dataset selection be part of the project? I can help build an Android application that uses machine learning to detect malaria parasites and classify species from thin blood smear images captured via camera or selected from the gallery. My experience with mobile development, AI-powered image processing, and healthcare-focused applications allows me to deliver a professional, clinical-grade solution with an intuitive user experience. Looking forward to discussing the project. Best, Uttam Shingala

@NEHABHAT92

With over a decade of experience in both web and mobile app development, especially for the Android platform, I believe I am the perfect fit for your project. Not only can I provide you a robust and user-friendly machine learning solution to detect malaria parasites from thin blood smear images, but also build an intuitive and professional mobile application around it. My skills in image processing and machine learning are well-honed, which will enable me to train the tool effectively to achieve a high accuracy rate of more than 97% on test images while also being able to locate the parasite within them. Another advantage I bring is my background in healthcare technology. As someone who's worked on numerous projects relating to medical fields, I understand the sensitivity and intricacy involved in such applications. Combining this with my strong UI/UX design skills, I can ensure that the app has an appealing yet functional clinical interface - something that aligns perfectly well with your requirement. Last but not least, choosing me would mean opting for a dedicated partner who imparts attention even to the minutest details of their work. My post-delivery support for three months underscores my commitment to your satisfaction. Let's join hands and bring your ideas closer to reality in the most cost-effective manner!

@Pieter21

FROM YOUR DESCRIPTION, I UNDERSTAND EXACTLY WHAT YOU NEED AND HOW TO DELIVER IT PROPERLY. Your project requires a Machine Learning tool for Malaria parasite detection with high accuracy and an Android app with a professional interface. I specialize in Android app development, image processing, and machine learning, with a background in healthcare technology. I ensure clean, professional, and user-friendly results, backed by successful projects beyond this platform. I’d be happy to discuss your project. I can outline a simple and effective approach to get this done efficiently. Best regards, Pieter

@DigitalNightOwl8

Hi Mate , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in User Interface / IA, Image Processing, Mobile App Development, Android, Machine Learning (ML), Android App Development, UI / User Interface, Mobile App Testing, Graphic Design and Mobile Development. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thanks for giving opportunity

@adityakhuman006

With my strong background in Android app development and image processing, I am confidently prepared to construct the Malaria Detection Mobile App you need. Having delved into Machine Learning and honed its use in real-life applications, achieving high accuracy for image classification is well within my wheelhouse. I'm excited by the challenge of building an Android app that effectively integrates ML discrimination tools to exceed your requirements for the identification of malaria parasite species and stages.

@Mayanks010

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@arshig8

With my comprehensive background in mobile app development, specifically for Android, and my expertise in image processing and machine learning, I am well-equipped to build your Malaria Detection Mobile App. I have developed various apps that leverage machine learning algorithms and image recognition technologies. They have consistently achieved high accuracy rates with over 97%, which is a threshold we aim to surpass on the proposed project. Moreover, my experience spans across a variety of healthcare technology projects, giving me a deep understanding of the unique needs of clinical applications. This includes creating user interfaces that are not only easy to navigate but also invoke trust and professionalism. With my adeptness in Flutter (UI/UX), I am well-suited to provide a seamless and reliable user experience in your project. Choosing me would mean entrusting this project to someone who values not just functionality, but also clean UI/UX design, performance, security, and scalability. As your dedicated freelance developer, I will pour in all my efforts to ensure the final product exceeds your expectations in terms of both form and function while empowering healthcare professionals in their fight against malaria.