Fendous Healthcare App

🌿 Fendous Healthcare App – Project Overview (In Progress & Under Market Research)

Introduction

The Fendous Healthcare App is a visionary, AI-driven healthtech solution by Fendous Sustainable Solutions ApS, built with the goal of delivering sustainable, scalable, and preventive healthcare through mobile technology. The app is being developed with a strong focus on blood group detection and glucose level prediction, and aims to become a reliable personal health assistant for users globally especially in regions with limited healthcare infrastructure.

However, it is important to note that this project is currently under active market research, technical feasibility testing, and clinical accuracy analysis.

IMPORTANT NOTE:
The Fendous Healthcare App is still in its early R&D phase, and may be discontinued, revised, or pivoted if it does not meet the necessary health parameters, accuracy benchmarks, and market needs. Our goal is to build a clinically valid, regulatory-compliant, and impactful solution. We are committed to ethical innovation, and will not proceed unless the tool proves to be reliable, safe, and sustainable for users and healthcare systems.



What Problem Does the App Solve?

In a fast-paced, digitally connected world, many people still lack immediate access to basic diagnostic tools. Early detection of health conditions is often delayed, especially in remote or underserved areas.

The Fendous Healthcare App seeks to address this gap by enabling users to:

  • Detect their blood group and glucose trends

  • Predict potential health risks using AI

  • Access a platform for proactive health tracking

Primary Goals

  • Blood Group Detection

  • Blood Glucose Level Prediction

These core functions aim to support preventive care and empower individuals and healthcare providers to take informed action before symptoms escalate.


✅ Core Features

Blood Group Detection

A digital feature designed to determine blood type using image analysis or uploaded diagnostic test data.

Key Capabilities:

  • Identifies ABO blood groups (A, B, AB, O) and Rh factor (+/-)

  • Accepts lab inputs or image-based detection methods

  • Sustainable, mobile-based access without needing on-site equipment

Objectives:

  • Accuracy: High accuracy models with low false positives/negatives

  • Speed: Real-time or near real-time detection capability

  • Scalability: Designed to handle large user volumes and varied data sources

  • Accessibility: Easy to use for both lay users and professionals


Glucose Level Prediction

An AI-powered tool for monitoring, predicting, and managing blood sugar trends.

Features:

  • Community Platform: AI-assisted discussion space for people managing diabetes (upgrade roadmap includes professional collaboration)

  • Family Sharing: Alerts and reminders sent to caregivers or family when glucose levels cross safe thresholds

  • Predictive Analytics: Based on personal health history and glucose level patterns

  • Device Integration: Automatic syncing with supported glucose meters for continuous monitoring


Incorporation of Genome Data (Upcoming Phase)

To enhance predictive accuracy and personalize insights, genomic data integration will be a part of the AI model in later stages of development.

Genomic Features (Planned):

  • Uses non-identifiable genome data to tailor health predictions

  • Improves personalized risk assessment for glucose intolerance, blood compatibility, and other hereditary factors

  • Will require explicit user consent and follow strict ethical and data privacy frameworks


3. Technology Stack

ComponentTools/Technologies
LanguagePython – core data science and backend logic
SecurityGDPR-compliant, encrypted architecture with transparent terms & conditions
UI DesignFigma – for user-centric and inclusive design
FrontendReact Native / Flutter – cross-platform mobile development
API LayerFastAPI / Flask – high-performance, scalable backend services
TestingDummy clinical datasets for algorithm testing & simulation
DeploymentCI/CD pipelines with ongoing maintenance on secure cloud platforms

4. Sustainability & Ethics

  • Sustainable by Design: Built to reduce dependency on physical labs and infrastructure

  • Inclusive Access: Targets users in low-income and remote regions

  • Carbon Efficiency: Light backend services and optimized code for reduced energy consumption

  • Ethical Development: No data usage without consent; full transparency in AI decision-making

  • Clinical Responsibility: If core health parameters are not met, development may be discontinued


5. Vision Ahead

The Fendous Healthcare App is a technology-for-good initiative aimed at making health insights accessible, ethical, and future-ready. Through a combination of machine learning, sustainable design, and community-driven care, we are working to create a reliable tool for early detection and prevention.

However, this vision will only proceed if validated by clinical results, regulatory standards, and genuine user need. Our commitment is not just to innovation—but to responsibility.

💡 Fendous believes that technology must serve humanity—not replace it. If this tool fails to meet that standard, we will pivot, adapt, or stop it altogether.