HealthVerse : AI Health Companion with multi-disease prediction(11 diseases), nutrition guidance, and symptom checking and precautions

⚠️ RETRO THEME ACTIVATED
Experience the nostalgia of retro UI with our pixel-perfect health companion!

Retro-Themed AI-Powered Health Companion

💡 Our Promise: We don't replace doctors—we empower you with knowledge and bridge the gap between medical tests and understanding.

An all-in-one health analysis platform offering multi-disease prediction (11+ conditions), personalized nutrition guidance, and symptom checking with precautionary insights for over 60 diseases.

🎯 Why HealthVerse? Bridging the Gap in Healthcare Access

In a world where medical expertise isn't always accessible, HealthVerse emerges as your intelligent health companion. While medical tests provide raw data, they don't always translate to clear understanding or action. That's where we step in.

🤔 Why Use HealthVerse When Tests Exist?

1. Beyond Binary Predictions

Medical tests give you numbers; we give you context. Our AI doesn't just read values—it understands patterns across multiple health indicators to provide meaningful insights about your health status.

2. Comprehensive Health Analysis

We don't just look at one number in isolation. Our models analyze multiple parameters simultaneously to detect early warning signs that might be missed when looking at individual test results.

3. Democratizing Healthcare

For Everyone: No medical degree needed to understand your health status
24/7 Access: Get insights anytime, anywhere
Multi-Disease Coverage: From diabetes to depression, we've got you covered

🌍 Real-World Impact

For Individuals

Early detection of potential health issues
Clear explanations of what your symptoms might mean
Actionable health recommendations

For Communities

Supports healthcare workers in resource-limited settings
Reduces unnecessary hospital visits
Promotes preventive healthcare awareness

🏥 Our 11-Disease Coverage

Our specialized models provide insights into:

Chronic Conditions: Diabetes, Heart Disease, Hypertension
Organ Health: Liver Disease, Kidney Disease
Mental Health: Depression
Metabolic Disorders: Thyroid Conditions, Anemia
Neurological: Alzheimer's Disease
Life-Threatening: Stroke, Breast Cancer
Infectious Diseases: Dengue

🎮 Features

🩺 Disease Prediction Models

Each disease prediction model is trained using its own dedicated script for optimal performance. All models use scikit-learn's RandomForestClassifier with appropriate hyperparameters.

Disease	Model Type	Accuracy	Training Script
Alzheimer's Disease	Random Forest	~95%	`train_alzheimer.py`
Anemia	Random Forest	~95%	`train_anemia.py`
Breast Cancer	Random Forest	~96%	`train_breast_cancer.py`
Depression	Random Forest	~89%	`train_depression_model.py`
Diabetes	Random Forest	~93%	`train_diabetes.py`
Heart Disease	Random Forest	~97%	`train_heart.py`
Kidney Disease	Random Forest	~94%	`train_kidney.py`
Liver Disease	Random Forest	~96%	`train_liver.py`
Stroke	Random Forest	~95%	`train_stroke.py`
Thyroid	Random Forest	~98%	`train_thyroid.py`
Dengue	In Progress	~95%	`train_dengue.py`

Note: Accuracies are approximate and based on test set performance. Actual performance may vary with different data distributions.

Real-time Analysis: Get instant predictions with detailed results
Model Transparency: View confidence scores and contributing factors

🤖 AI Chat Assistants

Nutri-Bot: Personalized nutrition and diet recommendations
Symptom Checker: AI-powered preliminary health assessment

📱 Modern & Responsive UI

Mobile-First Design: Works seamlessly on all devices
Interactive Elements: Smooth animations and transitions
Collapsible Sidebar: Optimized screen space usage
Accessibility: Keyboard navigation and screen reader support

🔍 Comprehensive Health Resources

Disease Information: Detailed descriptions and risk factors
Prevention Tips: Evidence-based health recommendations
First Aid Guidance: Quick reference for emergencies

🎮 Retro UI/UX Features

Pixel-Perfect Design: Nostalgic pixel art interface with smooth animations
Responsive Layout: Works on all devices from retro to modern
Dark Mode: Eye-friendly interface for extended use

🕹️ Tech Stack

Frontend

HTML5 & CSS3 with Tailwind CSS
Vanilla JavaScript for interactivity
Responsive Design with mobile-first approach
Pixel Font for consistent typography

Backend

Netlify Functions for serverless API endpoints
Python 3.8+ for machine learning models and data processing
Node.js 16+ for server-side logic

Machine Learning

scikit-learn for all machine learning models (Random Forest)**
Pandas & NumPy for data processing and manipulation
Joblib for model serialization and loading
StandardScaler for feature scaling
LabelEncoder for categorical variable encoding

AI Integration

Gemini Flash 2.0 for chat-based assistance
Multi-turn dialogue support

Development Tools

Git for version control
Netlify CLI for local development
Visual Studio Code

📁 Project Structure

DISEASEXYZ/
├── data/                    # Raw and processed datasets
│   ├── raw/                 # Original CSV files from various sources
│   │   ├── alzheimers_disease_data.csv
│   │   ├── Anaemia.csv
│   │   ├── Breast Cancer.csv
│   │   ├── Dengue diseases dataset.csv
│   │   ├── healthcare-dataset-stroke-data.csv
│   │   ├── indian_liver_patient.csv
│   │   ├── kidney_disease.csv
│   │   ├── new-thyroid.csv
│   │   └── Student Depression Dataset.csv
│   └── cleaned/             # Preprocessed and cleaned datasets
│
├── functions/               # Netlify Functions
│   ├── utils/               # Utility functions
│   │   └── precautions.js   # Disease precautions database
│   ├── chat.js              # Chat functionality with Gemini AI
│   └── predict.py           # ML model prediction logic
│
├── models/                  # Trained ML models and scalers
│   ├── alzheimers_model.pkl
│   ├── alzheimers_scaler.pkl
│   ├── anemia_model.pkl
│   ├── anemia_scaler.pkl
│   ├── breast_cancer_model.pkl
│   ├── dengue_model.joblib
│   ├── dengue_scaler.joblib
│   ├── depression_model.pkl
│   ├── depression_scaler.pkl
│   ├── diabetes_model.pkl
│   ├── diabetes_scaler.pkl
│   ├── heart_model.pkl
│   ├── heart_scaler.pkl
│   ├── kidney_model.pkl
│   ├── kidney_scaler.pkl
│   ├── liver_model.pkl
│   ├── liver_scaler.pkl
│   ├── stroke_model.pkl
│   └── thyroid_model.pkl
│
├── public/                  # Static files
│   ├── assets/              # Images and icons
│   │   ├── alzheimer.jpg
│   │   ├── anemia.jpg
│   │   ├── breast_cancer.jpg
│   │   ├── default.jpg
│   │   ├── dengue.jpg
│   │   ├── depression.jpg
│   │   ├── diabetes.jpg
│   │   ├── heart.jpg
│   │   ├── kidney.jpg
│   │   ├── liver.jpg
│   │   ├── logo.png
│   │   ├── stroke.jpg
│   │   └── thyroid.jpg
│   ├── js/
│   │   ├── app.js           # Main application logic
│   │   └── chat.js          # Chat interface logic
│   └── index.html           # Main HTML file
│
├── scripts/                 # Data processing and model training
│   ├── prepare.py           # Data cleaning and preprocessing
│   ├── train_alzheimer.py   # Alzheimer's disease model training
│   ├── train_anemia.py      # Anemia model training
│   ├── train_breast_cancer.py  # Breast cancer model training
│   ├── train_dengue.py      # Dengue model training
│   ├── train_depression_model.py  # Depression model training
│   ├── train_diabetes.py    # Diabetes model training
│   ├── train_heart.py       # Heart disease model training
│   ├── train_kidney.py      # Kidney disease model training
│   ├── train_liver.py       # Liver disease model training
│   ├── train_stroke.py      # Stroke prediction model training
│   └── train_thyroid.py     # Thyroid disease model training
│
├── .gitignore              # Git ignore file
├── netlify.toml            # Netlify configuration
├── package.json            # Node.js dependencies
├── requirements.txt        # Python dependencies
└── README.md               # This file

🚀 Getting Started

Prerequisites

Node.js 16+
Python 3.8+
Netlify CLI (for local development)

Installation

Clone the repository

git clone https://github.com/yourusername/healthverse.git
cd healthverse

Install Python dependencies
```
pip install -r requirements.txt
```
Install Node.js dependencies
```
npm install
```
Set up environment variables Create a .env file in the root directory:
```
GEMINI_API_KEY=your_gemini_api_key
```
Run locally
```
netlify dev
```
The app will be available at http://localhost:8888

🧪 Model Training

Each disease model is trained using its own dedicated script for better maintainability and customization. Here's how to train the models:

Training Individual Models

Each model can be trained independently using its specific script:

# Navigate to the project root directory
cd path/to/HealthVerseAI

# Train Alzheimer's model
python train_alzheimer.py

# Train Anemia model
python train_anemia.py

# Train Breast Cancer model
python train_breast_cancer.py

# Train Depression model
python train_depression_model.py

# Train Diabetes model
python train_diabetes.py

# Train Heart Disease model
python train_heart.py

# Train Kidney Disease model
python train_kidney.py

# Train Liver Disease model
python train_liver.py

# Train Stroke model
python train_stroke.py

# Train Thyroid model
python train_thyroid.py

Training Details

Each training script handles its own data preprocessing, model training, and evaluation
Models are saved in the models/ directory
Training scripts output accuracy and classification reports
Each script is self-contained with its own data loading and preprocessing logic

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🤝 Contributing

Contributions are welcome! Please follow these steps:

Fork the repository
Create your feature branch (git checkout -b feature/AmazingFeature)
Commit your changes (git commit -m 'Add some AmazingFeature')
Push to the branch (git push origin feature/AmazingFeature)
Open a Pull Request

🌟 Future Enhancements

Expanded Disease Coverage: Add more disease prediction models
Multi-language Support: Support for multiple languages
Mobile App: Native mobile applications for iOS and Android
Integration with Health Devices: Connect with wearables and health trackers
Telemedicine Integration: Connect with healthcare providers
Personal Health Dashboard: Track health metrics over time

📞 Contact

Project Link:
https://github.com/ankan123basu/HealthVerseAI

GitHub Profiles:

🙏 Acknowledgments

Made with ❤️ by ANKAN BASU & ANKIT BASU
Lovely Professional University

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
data		data
functions		functions
models		models
public		public
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
disease_precaution_map.json		disease_precaution_map.json
disease_precaution_map.py		disease_precaution_map.py
netlify.toml		netlify.toml
package-lock.json		package-lock.json
package.json		package.json
prepare.py		prepare.py
requirements.txt		requirements.txt
retrain_breast_cancer.py		retrain_breast_cancer.py
test-gemini.js		test-gemini.js
train_alzheimer.py		train_alzheimer.py
train_anemia.py		train_anemia.py
train_breast_cancer.py		train_breast_cancer.py
train_dengue.py		train_dengue.py
train_depression_model.py		train_depression_model.py
train_diabetes.py		train_diabetes.py
train_heart.py		train_heart.py
train_kidney.py		train_kidney.py
train_liver.py		train_liver.py
train_stroke.py		train_stroke.py
train_thyroid.py		train_thyroid.py

ankan123basu/HealthVerse

Folders and files

Latest commit

History

Repository files navigation