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https://github.com/moroii69/proofly
Health management web application offering personalized insights and real-time monitoring for proactive health maintenance.
https://github.com/moroii69/proofly
firebase nextjs radix-ui typescript
Last synced: 8 days ago
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Health management web application offering personalized insights and real-time monitoring for proactive health maintenance.
- Host: GitHub
- URL: https://github.com/moroii69/proofly
- Owner: moroii69
- Created: 2024-12-24T01:43:13.000Z (about 1 month ago)
- Default Branch: master
- Last Pushed: 2025-01-28T15:41:26.000Z (9 days ago)
- Last Synced: 2025-01-28T16:34:36.254Z (9 days ago)
- Topics: firebase, nextjs, radix-ui, typescript
- Language: TypeScript
- Homepage: https://www.proofly.xyz/
- Size: 2.48 MB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Proofly
## Overview
**Predict, Prevent, Protect.**
Empowering individuals to manage chronic conditions with personalized health insights. Begin your journey toward better health today.
## Web Application
### Key Features
- **Health Predictions**
Leverage machine learning to predict potential health risks—anticipate and act before disaster strikes. It's proactive care, made simple.
- **Real-time Monitoring**
Imagine a personal health assistant tracking your vitals, 24/7. Instant feedback on your daily metrics for continuous optimization.
- **Data Security**
Rest assured, your health data is encrypted with military-grade security. Only authorized personnel have access to your information.
### Dashboard Overview
| Feature | Description |
|-----------------------|--------------------------------------------------------------|
| **Health Score** | Dynamically generated based on recent metrics to give you an at-a-glance health status. *No data available yet. Start adding metrics.* |
| **Risk Level** | Real-time assessment of your current risk for various conditions based on tracked data. *No data available yet.* |
| **Next Check-up** | Set reminders and manage your check-up schedule seamlessly. *Feature coming soon.* |
| **Health Predictions** | Your health metrics will directly impact your personalized health predictions. *Add metrics to begin.* |
| **Recent Metrics** | Quickly view the latest health metrics you've entered. *No metrics available yet. Start tracking today.* |
| **Add New Health Metric** | Easily track various health metrics including blood glucose, blood pressure, heart rate, and more. *Add your first metric now.* |
### Tech Stack
| Category | Technologies / Tools |
|-----------------------|---------------------------------------------------------|
| **Frontend** | React.js, Next.js (14.2.18) |
| **Backend & Security** | Node.js, Express.js, reCAPTCHA, HSTS, Firebase |
| **UI/UX Frameworks** | Tailwind CSS, Radix UI, shadcn/ui, Lucide (icons) |
| **Build Tools** | Webpack, Vercel (deployment platform) |
| **Data Handling** | WebSockets (for real-time updates), GraphQL (data querying) |
| **Performance** | Priority Hints (performance optimization) |
| **Machine Learning** | TensorFlow, Firebase ML, Scikit-learn |
### Future Roadmap
- [ ] **Reminders for Check-ups and Medications**
Automated reminders to ensure timely follow-ups and medication adherence.
- [x] **Multi-device Health Data Sync**
Sync your health data across multiple devices seamlessly for a unified experience.
- [x] **Advanced Analytics Dashboard**
Visualize and analyze trends in your health metrics with advanced analytics and predictive graphs.
- [x] **AI-driven Health Insights**
Receive tailored recommendations based on predictive models for a proactive health management strategy.
### Live Demo
Explore the live version of the app here:
[proofly](https://proofly.xyz/)
## Python Package
### Installation
Install Proofly using pip:
```bash
pip install proofly
```
### Prerequisites
- Python 3.8 or higher
- pip package manager
- Virtual environment (recommended)
### Basic Usage
```python
from proofly import HealthAnalyzer
from proofly.models import DiabetesMetrics
from datetime import datetime
# Initialize the analyzer with custom configuration
analyzer = HealthAnalyzer(
config={
"logging_level": "INFO",
"cache_enabled": True,
"validation_mode": "strict"
}
)
# Create metrics using the type-safe model
metrics = DiabetesMetrics(
blood_glucose=120,
hba1c=6.5,
blood_pressure=130,
timestamp=datetime.now()
)
# Analyze metrics and get predictions
prediction = analyzer.predict_risk(metrics)
print(f"Risk Level: {prediction.risk_level}")
print(f"Confidence Score: {prediction.confidence}")
# Get personalized recommendations
recommendations = analyzer.get_recommendations(metrics)
for rec in recommendations:
print(f"- {rec.description}")
```
### API Reference
#### Core Classes
##### HealthAnalyzer
Main analysis engine for processing health metrics and generating insights.
```python
class HealthAnalyzer:
def predict_risk(self, metrics: BaseMetrics) -> AnalysisResult:
"""Predict health risks based on provided metrics."""
def get_recommendations(self, metrics: BaseMetrics) -> List[Recommendation]:
"""Generate personalized health recommendations."""
```
##### MetricConfig
Configuration management for analysis settings.
```python
class MetricConfig:
"""Handles analyzer configuration and validation settings."""
```
##### AnalysisResult
Container for analysis results and predictions.
```python
class AnalysisResult:
"""Stores and manages analysis outcomes."""
```
##### ReportGenerator
Utility for generating health reports and summaries.
```python
class ReportGenerator:
"""Creates detailed health reports from analysis results."""
```
#### Health Metric Models
- **DiabetesMetrics**: Blood glucose, HbA1c, blood pressure monitoring
- **HypertensionMetrics**: Blood pressure and heart rate tracking
- **COPDMetrics**: Respiratory function and symptoms
- **CKDMetrics**: Kidney function markers
- **CHFMetrics**: Heart failure indicators
#### Utility Classes
##### TrendAnalyzer
```python
class TrendAnalyzer:
"""Analyzes temporal patterns in health metrics."""
```
##### RiskCalculator
```python
class RiskCalculator:
"""Calculates health risk scores and probabilities."""
```
##### RecommendationEngine
```python
class RecommendationEngine:
"""Generates personalized health recommendations."""
```
##### DataValidator
```python
class DataValidator:
"""Validates and sanitizes input health data."""
```
### Advanced Configuration
```python
config = {
"logging_level": "DEBUG", # DEBUG, INFO, WARNING, ERROR
"cache_enabled": True, # Enable result caching
"cache_ttl": 3600, # Cache timeout in seconds
"validation_mode": "strict", # strict or lenient
"prediction_threshold": 0.85, # Confidence threshold
"api_timeout": 30 # API request timeout in seconds
}
analyzer = HealthAnalyzer(config=config)
```
### Error Handling
```python
from proofly.exceptions import ValidationError, AnalysisError
try:
metrics = DiabetesMetrics(blood_glucose=500) # Invalid value
except ValidationError as e:
print(f"Validation failed: {e}")
try:
prediction = analyzer.predict_risk(metrics)
except AnalysisError as e:
print(f"Analysis failed: {e}")
```
### Version Compatibility
| Python Version | Proofly Version | Support Status |
|----------------|-----------------|----------------|
| 3.8 | 1.0.0+ | Supported |
| 3.9 | 1.0.0+ | Supported |
| 3.10 | 1.1.0+ | Supported |
| 3.11 | 1.1.2+ | Supported |
## Contributing
This is a personal project. If you have suggestions or would like to contribute, feel free to open an issue or submit a pull request.
## Documentation
For complete documentation, visit:
[proofly documentation](https://docs.proofly.xyz/)
## Support
- Issues: [GitHub Issues](https://github.com/moroii69/proofly/issues)
- Email: [Contact Us Directly](mailto:[email protected])
## License
MIT License - see [LICENSE](LICENSE) for details.