NeuroPlex AI - Neural Intelligence for Healthcare

Powered by HetFusionNet Medical AI Platform

🚀 Overview

NeuroPlex AI is a revolutionary mobile application that brings the power of HetFusionNet Federated Learning Medical AI to your Android device. This cutting-edge platform leverages advanced neural networks for real-time cancer detection while maintaining the highest standards of privacy and security through federated learning.

Built with Flutter and featuring 2026's most advanced mobile technologies, NeuroPlex AI combines biometric security, Material You design, edge-to-edge UI, and privacy-first architecture to deliver a seamless healthcare experience.

🌐 Live Demo

Access the deployed HetFusionNet AI Platform: HetFusion Federated Learning Medical AI

🎯 Mission

Transforming medical diagnostics through AI-powered cancer detection while ensuring patient privacy through federated learning - where your data never leaves your device.

✨ Key Features

🔐 Security & Privacy

🔒 Biometric Authentication: Mandatory fingerprint/Face ID gate before app access
🛡️ FLAG_SECURE: Complete screenshot and screen recording protection
🔑 Hardware Encryption: Secure credential storage in Android Keystore
🔐 Privacy-First Architecture: Federated learning ensures data never leaves your device
🚨 Panic Button: Emergency exit via shake detection (accelerometer)

🎨 Modern UI/UX (2026 Design)

🌈 Material You Dynamic Theming: Adapts to system color palette (Android 12+)
📱 Edge-to-Edge UI: Immersive full-screen experience with system bars integration
✨ Glassmorphism Design: Beautiful frosted glass effects and translucent backgrounds
🌌 Quantum Gradient Backgrounds: Stunning multi-color gradient aesthetics
💫 Bioluminescent Glow Effects: Futuristic app icon with enhanced visual appeal
🎭 Adaptive Icons: Dynamic launcher icons with foreground/background layers

⚡ Advanced Capabilities

📳 Shake Panic Button: Emergency exit via accelerometer detection (>15 m/s²)
🔋 Battery Throttler: Intelligent power management and optimization
⏰ Wakelock Management: Prevents screen timeout during critical operations
🔓 Runtime Permissions: Granular control over app permissions
🌐 WebView Integration: Seamless access to HetFusionNet AI platform
📊 Real-Time Monitoring: Battery level and charging status tracking

🧠 AI-Powered Healthcare (HetFusionNet)

🎯 Real-Time Cancer Detection: Instant analysis using advanced neural networks
🤝 Federated Learning: Privacy-preserving collaborative AI training
🖼️ Multi-Modal Analysis: Support for various medical imaging formats
⚛️ Quantum AI Integration: Next-generation processing capabilities
🔬 Medical Image Processing: Advanced algorithms for accurate diagnostics
📈 Continuous Learning: Model improves while maintaining privacy

📱 App Icon & Branding

NeuroPlex AI App Icon - Professional Medical AI Branding

✨ Complete Logo Fitted | 💎 Perfect Centering | 🌟 High Quality LANCZOS Resampling

🎨 Enhanced Sharpness (1.2x) | 🌈 Preserved Aspect Ratio | ⚡ 5% Padding for Breathing Room

Icon Specifications

Size: 1024x1024 (adaptive)
Format: PNG with transparency
Design: Complete "Final APP Logo.png" perfectly fitted
Effects: LANCZOS resampling, sharpness enhancement, perfect centering
Variants: Multiple densities (48, 72, 96, 144, 192, 512, 1024)
Background: Dark navy (#0A0E27) for adaptive icon
Quality: Maximum (quality=100, no compression)

📸 Execution Photos - Complete App Walkthrough

User Authentication & Dashboard Overview

1. User Login

2. Dashboard - Model Performance & Security

3. Dashboard - Model Architecture & Active Status

4. Dashboard - Available Tests Button & Model Information

5. Navigation Bar - Dashboard, Analytics, History, Tests

Analytics Dashboard

6. Analytics Dashboard - Hospital Analysis

7. Analytics Dashboard - Hospital Metrics

Total Tests | OSCC Detected | Avg Confidence | High Risk Score

8. Analytics Dashboard - Comprehensive Graphs

Predictions Over Time | Result Distribution | Risk Level Breakdown

9. Analytics Dashboard - Confidence Distribution Graph

10. Analytics Dashboard - Patient Demographics Graph

Patient History & Analysis

11. Patient History - Search Patient by Patient ID

12. Patient History - Patient Analysis

13. Patient History - Graph Analysis

14. Patient History - Temporal Comparison

15. Patient History - Side by Side Image Comparison

16. Patient History - Previous Tests (Test-1)

17. Patient History - Test-1 Continuation

18. Patient History - Previous Tests (Test-2)

19. Patient History - Test-2 Continuation

Available Tests

20. Available Tests - Oral Cancer Detection

21. Available Tests - Brain Tumor (Coming Soon)

22. Available Tests - Lung Cancer (Coming Soon) & How It Works

Prediction - Patient Details Entry

23. Predict - Enter Patient Details (Part 1)

24. Predict - Enter Patient Details (Part 2)

25. Predict - Enter Patient Details (Part 3)

26. Results - Overview

27. Results - Detailed Analysis

AI Analysis Results - Stage 1 & 2

28. Stage 1 Results - CNN Model

29. Stage 2 Results - Tabular RealFPN 2.5 Model

WSI Analysis & Explainable AI (XAI)

30. WSI Analysis - HeatMap Visualization

31. Explainable AI (XAI) - Grad-CAM++ HeatMap

32. Explainable AI (XAI) - Layer-CAM HeatMap

Survival Analysis & Prognosis

33. Survival Analysis - Kaplan-Meier Survival Curve

34. Comparison With Population Average

Personalized Recommendations & Advanced Features

35. Personalized Recommendations

36. Hybrid Fusion Analysis

37. AI ChatBot - Medical Assistant

🌟 Execution Photos Summary

Total Screenshots: 37 comprehensive app walkthrough images

Coverage Includes:

1. User Authentication & Dashboard (Photos 1-5)

✅ User login interface
✅ Dashboard with model performance & security
✅ Model architecture & active status
✅ Available tests button & model information
✅ Navigation bar (Dashboard, Analytics, History, Tests)

2. Analytics Dashboard (Photos 6-10)

✅ Hospital analysis overview
✅ Hospital metrics (Total Tests, OSCC Detected, Avg Confidence, High Risk Score)
✅ Comprehensive graphs (Predictions Over Time, Result Distribution, Risk Level Breakdown)
✅ Confidence distribution graph
✅ Patient demographics graph

3. Patient History & Analysis (Photos 11-19)

✅ Search patient by patient ID
✅ Patient analysis dashboard
✅ Graph analysis
✅ Temporal comparison
✅ Side by side image comparison
✅ Previous tests (Test-1 and Test-2)
✅ Test continuations and detailed views

4. Available Tests (Photos 20-22)

✅ Oral cancer detection (active)
✅ Brain tumor detection (coming soon)
✅ Lung cancer detection (coming soon) & how it works

5. Prediction - Patient Details (Photos 23-25)

✅ Enter patient details (Part 1)
✅ Enter patient details (Part 2)
✅ Enter patient details (Part 3)

6. AI Analysis Results (Photos 26-29)

✅ Results overview
✅ Detailed analysis
✅ Stage 1 results (CNN Model)
✅ Stage 2 results (Tabular RealFPN 2.5 Model)

7. WSI & Explainable AI (Photos 30-32)

✅ WSI analysis with HeatMap
✅ Explainable AI - Grad-CAM++ HeatMap
✅ Explainable AI - Layer-CAM HeatMap

8. Survival Analysis & Recommendations (Photos 33-37)

✅ Kaplan-Meier survival curve
✅ Comparison with population average
✅ Personalized recommendations
✅ Hybrid fusion analysis
✅ AI ChatBot (Medical Assistant)

Image Quality: High-resolution screenshots from actual device

Device Used: Android device running NeuroPlex v1.0.0

App Version: NeuroPlex v1.0.0 - HetFusionNet Medical AI Platform

Key Features Demonstrated:

🔐 User authentication and security
📊 Comprehensive analytics dashboards
🏥 Patient history tracking and analysis
🧬 Multi-stage AI model predictions (CNN + RealFPN 2.5)
🔬 WSI (Whole Slide Imaging) analysis
🎯 Explainable AI with Grad-CAM++ and Layer-CAM
📈 Survival analysis with Kaplan-Meier curves
💡 Personalized medical recommendations
🤖 AI-powered medical chatbot assistant
🔄 Hybrid fusion analysis for enhanced accuracy

🛠️ Technology Stack

Frontend

Framework: Flutter 3.x (Dart)
UI Design: Material You (Material Design 3)
State Management: Built-in Flutter state management
Navigation: Flutter Navigator 2.0

Backend Integration

Platform: HetFusionNet Federated Learning Medical AI
Hosting: Hugging Face Spaces
Communication: WebView with JavaScript channels

Android Native

Language: Kotlin 2.1.0
Min SDK: API 23 (Android 6.0)
Target SDK: API 36 (Android 14+)
Compile SDK: API 36
Build Tools: Gradle 8.7, AGP 8.3.0

Key Dependencies

dependencies:
  flutter:
    sdk: flutter
  webview_flutter: ^4.4.2          # WebView integration
  local_auth: ^2.1.7                # Biometric authentication
  dynamic_color: ^1.6.8             # Material You theming
  sensors_plus: ^3.1.0              # Accelerometer for panic button
  battery_plus: ^5.0.2              # Battery monitoring
  wakelock_plus: ^1.1.4             # Screen wake management
  flutter_secure_storage: ^9.0.0   # Encrypted storage
  permission_handler: ^11.0.1       # Runtime permissions

📦 Installation

Prerequisites

✅ Flutter SDK 3.x or higher
✅ Android Studio / VS Code with Flutter plugin
✅ Android SDK (API 36)
✅ Git
✅ Java JDK 11 or higher

Step 1: Clone Repository

git clone https://github.com/afridpasha/NeuroPlex-AI.git
cd NeuroPlex-AI

Step 2: Install Dependencies

flutter pub get

Step 3: Run on Android Device/Emulator

# Debug mode
flutter run

# Release mode
flutter run --release

Step 4: Build Release APK

flutter build apk --release

Output: build/app/outputs/flutter-apk/app-release.apk (47.5 MB)

Latest Release: NeuroPlex-v1.0.0-release.apk (December 5, 2026)

Build Details:

Build Time: 324.7 seconds
Optimizations: ProGuard, tree-shaking, code shrinking
Icon Reduction: 99.9% (1.6MB → 1.8KB)
Platforms: ARM, ARM64, x64

Step 5: Install APK on Device

adb install build/app/outputs/flutter-apk/app-release.apk

🔧 Configuration

Android Permissions (AndroidManifest.xml)

The app requires the following permissions:

<!-- Internet & Network -->
<uses-permission android:name="android.permission.INTERNET"/>
<uses-permission android:name="android.permission.ACCESS_NETWORK_STATE"/>

<!-- Storage -->
<uses-permission android:name="android.permission.READ_EXTERNAL_STORAGE"/>
<uses-permission android:name="android.permission.WRITE_EXTERNAL_STORAGE"/>
<uses-permission android:name="android.permission.READ_MEDIA_IMAGES"/>
<uses-permission android:name="android.permission.READ_MEDIA_VIDEO"/>

<!-- Camera -->
<uses-permission android:name="android.permission.CAMERA"/>

<!-- Biometric -->
<uses-permission android:name="android.permission.USE_BIOMETRIC"/>
<uses-permission android:name="android.permission.USE_FINGERPRINT"/>

<!-- System -->
<uses-permission android:name="android.permission.WAKE_LOCK"/>
<uses-permission android:name="android.permission.VIBRATE"/>

Biometric Setup Requirements

✅ Android 6.0 (API 23) or higher
✅ Fingerprint sensor or Face ID configured on device
✅ Device lock screen enabled (PIN/Pattern/Password)

Build Configuration

android {
    compileSdk 36
    
    defaultConfig {
        applicationId "com.hetfusionnet.medical_app"
        minSdk 23
        targetSdk 36
        versionCode 1
        versionName "1.0"
    }
    
    compileOptions {
        coreLibraryDesugaringEnabled true
        sourceCompatibility JavaVersion.VERSION_11
        targetCompatibility JavaVersion.VERSION_11
    }
}

📂 Project Structure

NeuroPlex-AI/
├── android/                           # Android native code
│   ├── app/
│   │   ├── src/main/
│   │   │   ├── kotlin/com/hetfusionnet/medical_app/
│   │   │   │   └── MainActivity.kt    # FlutterFragmentActivity
│   │   │   ├── res/
│   │   │   │   ├── mipmap-*/          # App launcher icons
│   │   │   │   ├── drawable-*/        # Adaptive icon foreground
│   │   │   │   └── values/            # Colors, styles
│   │   │   └── AndroidManifest.xml    # App permissions & config
│   │   └── build.gradle               # App-level Gradle config
│   ├── build.gradle                   # Project-level Gradle
│   ├── settings.gradle                # Gradle settings
│   └── gradle.properties              # Gradle properties
├── assets/
│   └── icon/                          # App icons (various sizes)
│       ├── app_icon.png               # 1024x1024 main icon
│       ├── app_icon_foreground.png    # Adaptive foreground
│       └── icon_*.png                 # Multiple densities
├── lib/
│   ├── main.dart                      # Main app (all 2026 features)
│   ├── main_advanced.dart             # Advanced features version
│   └── main_simple.dart               # Simple WebView version
├── .dart_tool/                        # Dart build cache
├── .gitignore                         # Git ignore rules
├── pubspec.yaml                       # Flutter dependencies
├── pubspec.lock                       # Locked dependency versions
├── README.md                          # This file
├── ADVANCED_FEATURES_PLAN.md          # Feature implementation plan
├── convert_original_logo.py           # Icon generation script
└── generate_neuroplex_icon.py         # Alternative icon script

🎯 Usage Guide

1️⃣ Launch Application

Tap the NeuroPlex AI icon on your Android device
App displays splash screen with logo

2️⃣ Biometric Authentication

Fingerprint: Place finger on sensor
Face ID: Look at device camera
Fallback: Enter device PIN/Pattern/Password
Authentication is mandatory - no bypass option

3️⃣ Access HetFusionNet Platform

WebView automatically loads: https://afridpasha1983-hetfusion-federated-learning-medical-ai.hf.space/
Full-screen immersive experience
JavaScript enabled for platform interaction

4️⃣ Upload Medical Images

Use the platform interface to upload medical scans
Supported formats: DICOM, PNG, JPEG, etc.
Images processed locally (federated learning)

5️⃣ View AI Analysis Results

Real-time cancer detection results
Confidence scores and probability distributions
Visual heatmaps and annotations

6️⃣ Emergency Exit (Panic Button)

Shake device vigorously (acceleration > 15 m/s²)
App exits immediately
2-second cooldown between activations

🔒 Security Features

🔐 Biometric Gate

Mandatory Authentication: No app access without biometric verification
Supported Methods:
- Fingerprint recognition
- Face recognition (Face ID)
- Iris scanning (on supported devices)
Fallback: Device credentials (PIN/Pattern/Password)
Security Level: Strong biometric authentication required

🛡️ Screenshot Protection (FLAG_SECURE)

window.setFlags(
    WindowManager.LayoutParams.FLAG_SECURE,
    WindowManager.LayoutParams.FLAG_SECURE
)

Prevents screenshots in app
Blocks screen recording
Protects sensitive medical data
Enforced at OS level

🔑 Hardware Encryption

Storage: Android Keystore (hardware-backed)
Encryption: AES-256 encryption
Key Management: Hardware security module (HSM)
Credentials: Securely stored, never in plain text

🚨 Panic Button

if (acceleration > 15.0 && !_isShaking) {
  _isShaking = true;
  SystemNavigator.pop(); // Exit app
  Future.delayed(Duration(seconds: 2), () => _isShaking = false);
}

🌈 Design Philosophy

Material You Integration

Dynamic Colors: Extracted from system wallpaper
Adaptive Components: Buttons, cards, dialogs match theme
Seamless Integration: Android 12+ design language
Color Schemes: Light and dark mode support

Glassmorphism

Frosted Glass Effects: Translucent UI elements
Blur Backgrounds: Gaussian blur on overlays
Depth Perception: Layered visual hierarchy
Modern Aesthetic: Premium, futuristic look

Quantum Gradients

Multi-Color Transitions: Smooth gradient flows
Dynamic Backgrounds: Animated color shifts
Eye-Catching Appeal: Vibrant, engaging visuals
Brand Identity: Unique NeuroPlex signature

🔋 Battery Management

Intelligent Power Optimization

// Monitor battery level
final batteryLevel = await Battery().batteryLevel;

// Check charging status
final batteryState = await Battery().batteryState;

// Throttle operations on low battery
if (batteryLevel < 20 && batteryState != BatteryState.charging) {
  // Reduce background tasks
  // Lower refresh rates
  // Disable non-critical features
}

Features

✅ Real-time battery monitoring
✅ Charging status detection
✅ Automatic throttling on low battery
✅ Power-efficient WebView rendering
✅ Optimized sensor polling

🚨 Panic Button Details

Activation

Trigger: Shake device vigorously
Threshold: Acceleration > 15 m/s²
Detection: Accelerometer sensor (sensors_plus)
Cooldown: 2-second delay between activations

Behavior

accelerometerEvents.listen((AccelerometerEvent event) {
  double acceleration = sqrt(
    event.x * event.x + 
    event.y * event.y + 
    event.z * event.z
  );
  
  if (acceleration > 15.0 && !_isShaking) {
    _isShaking = true;
    SystemNavigator.pop(); // Exit immediately
    Future.delayed(Duration(seconds: 2), () {
      _isShaking = false;
    });
  }
});

Use Cases

🚨 Emergency situations
🔒 Privacy concerns
⚡ Quick exit needed
🛡️ Security threat

📊 Performance Metrics

App Statistics

APK Size: 47.5 MB (49,781,691 bytes)
Version: 1.0.0 (Build 1)
Build Date: December 5, 2026
Build Time: 324.7 seconds (~5.4 minutes)
Lines of Code: 7,671+
Files: 112+
Dependencies: 15+
Cold Start: <3 seconds
Splash Screen: 2-3 seconds
Biometric Auth: <1 second
Icon Tree-Shaking: 99.9% reduction (1.6MB → 1.8KB)

Build Optimizations

✅ ProGuard enabled
✅ Code shrinking
✅ Resource optimization
✅ Icon tree-shaking
✅ Native library stripping
✅ Maximum quality PNG (quality=100)
✅ LANCZOS resampling for images

Compatibility

Min Android: 5.0 (API 21)
Target Android: 14+ (API 34)
Compile SDK: API 34
Flutter Version: 3.35.4
Dart Version: 3.9.2
Kotlin Version: 2.1.0
Supported Architectures:
- ARM64-v8a
- ARMv7
- x86_64
Screen Sizes: All (phones, tablets)
Orientations: Portrait (locked)

🧪 Testing

Manual Testing Checklist

Device Testing

✅ Tested on Android 6.0 - 14
✅ Tested on various screen sizes
✅ Tested with fingerprint sensors
✅ Tested with Face ID
✅ Tested on low-end and high-end devices

🐛 Troubleshooting

Common Issues

1. Biometric Authentication Not Working

Solution:

Ensure device has fingerprint/Face ID configured
Check device lock screen is enabled
Verify app has biometric permission
Change MainActivity to extend FlutterFragmentActivity

2. WebView Not Loading

Solution:

Check internet connection
Verify INTERNET permission in AndroidManifest.xml
Clear app cache and data
Check Hugging Face Space is online

3. Panic Button Not Triggering

Solution:

Shake device more vigorously (>15 m/s²)
Check accelerometer sensor is working
Verify sensors_plus package is installed
Wait for 2-second cooldown between shakes

4. Build Errors

Solution:

# Clean build
flutter clean

# Get dependencies
flutter pub get

# Rebuild
flutter build apk --release

📄 License

This project is licensed under the MIT License.

MIT License

Copyright (c) 2024 Afrid Pasha

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

👨💻 Author

Afrid Pasha

AI/ML Engineer | Flutter Developer | Healthcare Innovation Enthusiast

🙏 Acknowledgments

Technologies & Frameworks

Flutter Team: For the amazing cross-platform framework
Google: For Material You design system and Android platform
Hugging Face: For hosting the HetFusionNet AI platform
Kotlin Team: For modern Android development language

Open Source Community

webview_flutter: WebView integration
local_auth: Biometric authentication
dynamic_color: Material You theming
sensors_plus: Sensor access
battery_plus: Battery monitoring
wakelock_plus: Screen wake management
flutter_secure_storage: Encrypted storage
permission_handler: Runtime permissions

Inspiration

Medical professionals working on cancer detection
Privacy advocates promoting federated learning
Open-source contributors worldwide

📞 Support & Contact

Get Help

🐛 Bug Reports: GitHub Issues
💡 Feature Requests: GitHub Discussions
📧 Email: Contact via GitHub profile
💬 Community: Join discussions on GitHub

Contributing

We welcome contributions! Please:

Fork the repository
Create a feature branch
Make your changes
Submit a pull request

🗺️ Roadmap

Version 1.1 (Q2 2024)

iOS version with Face ID support
Offline AI model integration
Multi-language support (10+ languages)
Enhanced dark mode with AMOLED black

Version 1.2 (Q3 2024)

Cloud sync for medical records
Integration with wearable devices (Wear OS)
Advanced analytics dashboard
Voice commands and accessibility features

Version 2.0 (Q4 2024)

AR visualization of medical scans
Real-time collaboration with doctors
Blockchain-based medical records
AI-powered health recommendations

Future Enhancements

Smartwatch companion app
Telemedicine integration
Health insurance integration
Clinical trial participation platform

📈 Project Stats

Metric	Value
Version	1.0.0
Build Date	December 5, 2026
APK Size	47.5 MB
Lines of Code	7,671+
Files	112+
Dependencies	15+
Execution Photos	37 screenshots
Min Android Version	API 21 (Android 5.0+)
Target SDK	API 34 (Android 14)
Flutter Version	3.35.4
Dart Version	3.9.2
Build Time	324.7 seconds
Icon Optimization	99.9% reduction
GitHub Stars	⭐ Star this repo!
Contributors	1 (Open for contributions)
License	MIT

🏆 Awards & Recognition

🥇 Innovation in Healthcare AI - 2024
🏅 Best Privacy-Preserving Mobile App - 2024
🎖️ Flutter Excellence Award - 2024
🌟 Open Source Healthcare Initiative - 2024

📚 Documentation

Additional Resources

API Documentation

Coming soon: Detailed API documentation for developers

🔗 Related Projects

💖 Support This Project

If you find NeuroPlex AI helpful, please consider:

⭐ Star this repository on GitHub
🐛 Report bugs and suggest features
🤝 Contribute code or documentation
📢 Share with healthcare professionals
💬 Spread the word on social media

🌟 Built with ❤️ for Healthcare Innovation 🌟

NeuroPlex AI - Transforming Medical Diagnostics with AI

Powered by HetFusionNet Federated Learning Medical AI Platform

"Privacy-preserving AI for a healthier tomorrow"

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.dart_tool		.dart_tool
App Logos		App Logos
Execution Photos App		Execution Photos App
android		android
assets		assets
lib		lib
.flutter-plugins-dependencies		.flutter-plugins-dependencies
.gitignore		.gitignore
ADVANCED_FEATURES_PLAN.md		ADVANCED_FEATURES_PLAN.md
INSTALLATION_GUIDE.md		INSTALLATION_GUIDE.md
README.md		README.md
RELEASE_NOTES_v1.0.0.md		RELEASE_NOTES_v1.0.0.md
convert_final_logo.py		convert_final_logo.py
convert_original_logo.py		convert_original_logo.py
generate_neuroplex_icon.py		generate_neuroplex_icon.py
pubspec.lock		pubspec.lock
pubspec.yaml		pubspec.yaml

Folders and files

Latest commit

History

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NeuroPlex AI - Neural Intelligence for Healthcare

Powered by HetFusionNet Medical AI Platform

🚀 Overview

🌐 Live Demo

🎯 Mission

✨ Key Features

🔐 Security & Privacy

🎨 Modern UI/UX (2026 Design)

⚡ Advanced Capabilities

🧠 AI-Powered Healthcare (HetFusionNet)

📱 App Icon & Branding

Icon Specifications

📸 Execution Photos - Complete App Walkthrough

User Authentication & Dashboard Overview

Analytics Dashboard

Patient History & Analysis

Available Tests

Prediction - Patient Details Entry

AI Analysis Results - Stage 1 & 2

WSI Analysis & Explainable AI (XAI)

Survival Analysis & Prognosis

Personalized Recommendations & Advanced Features

🌟 Execution Photos Summary

1. User Authentication & Dashboard (Photos 1-5)

2. Analytics Dashboard (Photos 6-10)

3. Patient History & Analysis (Photos 11-19)

4. Available Tests (Photos 20-22)

5. Prediction - Patient Details (Photos 23-25)

6. AI Analysis Results (Photos 26-29)

7. WSI & Explainable AI (Photos 30-32)

8. Survival Analysis & Recommendations (Photos 33-37)

🛠️ Technology Stack

Frontend

Backend Integration

Android Native

Key Dependencies

📦 Installation

Prerequisites

Step 1: Clone Repository

Step 2: Install Dependencies

Step 3: Run on Android Device/Emulator

Step 4: Build Release APK

Step 5: Install APK on Device

🔧 Configuration

Android Permissions (AndroidManifest.xml)

Biometric Setup Requirements

Build Configuration

📂 Project Structure

🎯 Usage Guide

1️⃣ Launch Application

2️⃣ Biometric Authentication

3️⃣ Access HetFusionNet Platform

4️⃣ Upload Medical Images

5️⃣ View AI Analysis Results

6️⃣ Emergency Exit (Panic Button)

🔒 Security Features

🔐 Biometric Gate

🛡️ Screenshot Protection (FLAG_SECURE)

🔑 Hardware Encryption

🚨 Panic Button

🌈 Design Philosophy

Material You Integration

Glassmorphism

Quantum Gradients

🔋 Battery Management

Intelligent Power Optimization

Features

🚨 Panic Button Details

Activation

Behavior

Use Cases

📊 Performance Metrics

App Statistics

Build Optimizations

Compatibility

🧪 Testing