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🚀 Well Scan – The Ultimate AI-Powered Health Dashboard

Well Scan is a cutting-edge AI-driven healthcare platform that provides real-time medical insights, personalized organ check-ups, doctor booking, and holistic health management in a single, unified interface. The platform leverages advanced machine learning models and seamless web technologies to empower users with proactive healthcare solutions.

Website Screenshot 1 Website Screenshot 2

🎯 Key Features

1️⃣ AI-Powered Individual Organ Checkups

Upload your medical reports and receive accurate predictions of potential health risks using AI models:

  • Heart Checkup – Detects cardiovascular anomalies.
  • Kidney Checkup – Assesses kidney health and detects risks.
  • Thyroid Checkup – Predicts thyroid disorders based on medical data.
  • Arthritis Checkup – Analyzes joint health and potential arthritis risks.
  • Liver Checkup – Identifies early signs of liver-related diseases.

2️⃣ AI Chatbot – 24/7 Health Assistance

Get instant responses to health-related questions and preventive care tips with a virtual health assistant that ensures continuous medical guidance.

3️⃣ Doctor Booking System

  • Schedule appointments with specialists from various medical fields.
  • Securely pay for consultations through an integrated payment gateway.
  • Receive timely reminders and updates about upcoming appointments.

4️⃣ Personalized User Dashboard

  • Access previous checkup results and medical reports.
  • Monitor health improvements over time.
  • Ensure data privacy and security with encrypted storage.

5️⃣ Nearby Hospital Locator

Quickly locate nearby hospitals in case of emergencies to ensure timely medical assistance.

6️⃣ Holistic Health Support

  • Personalized medication reminders.
  • Exercise and yoga recommendations.
  • Health charts and insights for chronic conditions (e.g., diabetes, hypertension).

🛠️ Tech Stack

🔹 Backend

  • Python
  • Django
  • REST APIs

🔹 Frontend

  • HTML, CSS, JavaScript
  • Bootstrap

🔹 AI/ML Models

  • Scikit-learn
  • TensorFlow/Keras
  • Pandas & NumPy

🔹 Database

  • PostgreSQL / MySQL

📚 System Architecture

/WELL_SCAN
├── /Health_Checker
│   ├── /Health_Checker
│   │   ├── __pycache__
│   │   ├── asgi.py
│   │   ├── settings.py
│   │   ├── urls.py
│   │   └── wsgi.py
│   ├── /Notebooks
│   ├── /organs
│   │   ├── __pycache__
│   │   ├── migrations
│   │   ├── uploads
│   │   ├── __init__.py
│   │   ├── admin.py
│   │   ├── app.py
│   │   ├── apps.py
│   │   ├── forms.py
│   │   ├── models.py
│   │   ├── tests.py
│   │   ├── urls.py
│   │   └── views.py
│   ├── /savedModels
├── /static
├── /templates
├── db.sqlite3
└── manage.py

📄 Installation and Setup

1. Clone the Repository

git clone https://github.com/username/well-scan.git
cd well-scan

2. Create and Activate Virtual Environment

python3 -m venv venv
source venv/bin/activate   # For Linux/Mac
# OR
venv\Scripts\activate      # For Windows

3. Install Required Dependencies

pip install -r requirements.txt

4. Apply Migrations

python manage.py makemigrations
python manage.py migrate

5. Run the Application

python manage.py runserver

📊 ML Model Pipeline

  1. Data Preprocessing – Cleaning and transforming input medical data.
  2. Feature Engineering – Extracting relevant features for organ-specific models.
  3. Model Training – Training and validating models using Scikit-learn and TensorFlow.
  4. Model Integration – Deploying models in the Django backend for real-time predictions.

📚 Project Workflow

  • Data Collection & Preprocessing – Aggregated medical datasets and applied feature engineering.
  • Model Development – Built and trained models for organ health prediction.
  • API Integration – Integrated ML models into the backend through REST APIs.
  • Frontend & Dashboard – Developed an intuitive and responsive user interface.

📧 Contact

For any queries, suggestions, or contributions, feel free to reach out:

📜 License

This project is licensed under the MIT License.