MedPal is your personal health assistant, designed to help you manage your medications, appointments, and health records with ease. Never miss a dose or an appointment again!

• Features
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Contributing
• License
• Datasets
• Project Structure
• Replace this .ENV variables with your own

• Medication Management: Track your medications, set reminders for doses, and log when you've taken them.
• Appointment Scheduling: Keep all your doctor's appointments in one place with timely reminders.
• Health Records: Securely store and access your important health information and documents.
• Symptom Tracker: Log symptoms over time to provide a clear history for your healthcare provider.
• User-friendly Interface: A clean and intuitive design for easy navigation.

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

• Python 3.8+
• pip (Python package installer)

1. Clone the repository:

   git clone https://github.com/kephothoXMedPal.git
   cd MedPal

2. Create and activate a virtual environment:

   On macOS and Linux:

   python3 -m venv MedPalEnv
   source env/bin/activate

   On Windows:

   python -m venv MedPalEnv
   .\env\Scripts\activate

3. Install the required dependencies: (You should create a requirements.txt file with all project dependencies)

   pip install -r requirements.txt

Once the installation is complete, you can run the application.

python adk web

Open your web browser and navigate to http://127.0.0.1:8000 to use MedPal.

To Start Telegram Bot run python medPalBot.py

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. Please refer to the CONTRIBUTING.md file for details on our code of conduct, and the process for submitting pull requests to us.

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

I used .csv files for development test datasets all generated using AI.

Below is a visual overview of the main project layout. The diagram excludes app.py and shows that most runtime tools query the central Elasticsearch datastore.

ELASTIC_SEARCH_URL=<https://my-elasticsearch-project-ec5919.es.us-central1.gcp.elastic.cloud:443>
GOOGLE_GENAI_USE_VERTEXAI=FALSE
GOOGLE_API_KEY=
GOOGLE_MAPS_API_KEY=
MEDPALBOT_TOKEN=
MEDPAL_API_KEY= (Your Elastic Search API Key)
DEV_EMAIL=
DEV_EMAIL_APP_PASSWORD=
TWILIO_AUTH_TOKEN=
TWILIO_ACCOUNT_SID=
PRIVATE_KEY=0xd8a0d9893f1432b64ed9947a7c54787702269396a90d27d9b5123a06810f67d6
ACCOUNT=0x93D85e536F81D49B781E317cd516C020f6d4363C
INFURA_API_KEY=
INFURA_ENDPOINT=<https://mainnet.infura.io/v3/>