https://github.com/prasanthyt/eb-dtwin
Dtwin is an AI-powered health management app that uses data from wearables like Fitbit to provide real-time health insights, early disease predictions, and personalized meal and fitness recommendations.
https://github.com/prasanthyt/eb-dtwin
ai diseases dtwin evenbetter healthcare ml qubots
Last synced: 5 months ago
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Dtwin is an AI-powered health management app that uses data from wearables like Fitbit to provide real-time health insights, early disease predictions, and personalized meal and fitness recommendations.
- Host: GitHub
- URL: https://github.com/prasanthyt/eb-dtwin
- Owner: PrasanthYT
- Created: 2025-05-24T07:16:13.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-25T08:41:34.000Z (about 1 year ago)
- Last Synced: 2025-06-21T08:35:57.603Z (12 months ago)
- Topics: ai, diseases, dtwin, evenbetter, healthcare, ml, qubots
- Language: JavaScript
- Homepage:
- Size: 10.1 MB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# π§ Dtwin β All-in-One Health Management & Disease Prediction App
Dtwin is an AI-powered, full-stack health management application designed to deliver **personalized real-time health insights**, **early disease predictions**, and **custom meal and fitness recommendations**. Leveraging data from wearables like Fitbit and other real-time sources, Dtwin empowers users to take control of their health with AI-driven guidanceβnot generic advice.
---
## π Live Demo
π **Live Web App**: [https://dtwin-health.app](https://dtwin.netlify.app/)
**NOTE:** This website is only mobile compatible.
π **Backend API**: [https://api.dtwin-health.app](https://api.dtwin-health.app)
π **DTwin APK**: [Download APK](https://drive.google.com/file/d/1lcvgrF0WuAXMbseI71wi1fbvrDyDSP5v/view?usp=sharing)
---
## πΈ App Screenshots
| π« Heart Analytics | π€ Personalized Diet | π Gut Analysis | |
|:---------------:|:----------------:|:----------------------:|:-:|
|  |  |  |
| π Main Dashboard | π©Ί Mental Wellness Chatbot | π Variable Data | |
|:---------------:|:----------------:|:----------------------:|:-:|
|  |  |  | |
---
## 𧬠Features
- π©Ί **Disease Prediction**
Real-time risk prediction for:
- Heart Disease
- Diabetes
- Gut Health Disorders
- More conditions coming soon
- π **Real-Time Health Insights**
Get instant health feedback based on:
- Fitbit data
- Heart rate variability
- Step count, sleep patterns, calorie burn
- π½οΈ **Personalized Meal Plans**
Custom diet suggestions tailored to each user's:
- Blood sugar trends
- Activity level
- Gut microbiome profiles
- πββοΈ **Custom Exercise Recommendations**
Dynamic fitness plans based on:
- Energy expenditure
- Weight trends
- Recovery and fatigue scores
- π **Smart Analytics Dashboard**
Visualizations and predictions to help you make smarter decisions about your health.
---
## π οΈ Tech Stack
### π· Frontend
- React.js
- TailwindCSS
- Chart.js & D3.js (for visualizations)
### πΆ Backend
- Node.js
- Express.js
- REST API (with token-based authentication)
- MongoDB (for user data)
### π§ͺ Machine Learning
- Python (Scikit-learn, TensorFlow)
- Trained on real-time + public datasets
- Served via FastAPI/Python microservices
### π± Mobile App
- Capacitor.js
- Android & iOS builds
---
## π Datasets Used
- **Heart Disease Prediction**: Garmin Real-Time Sensor Dataset
- **Diabetes Prediction**: IICMBC Clinical Dataset
- **Gut Health**: American Gut Project (AGP)
All models are trained with preprocessing pipelines and continuously updated using anonymized wearable data.
---
## βοΈ Installation (Development)
### Prerequisites
- Node.js & npm
- Python 3.9+
- MongoDB running locally or Atlas DB
### Clone and Run
```bash
git clone https://github.com/yourusername/dtwin.git
cd dtwin
# Install frontend
cd client
npm install
npm start
# Install backend
cd ../server
npm install
npm run dev
# Run ML services
cd ../ml-service
pip install -r requirements.txt
uvicorn app:main --reload