Adhere

Adhere is an AI-powered medication adherence assistant that uses computer vision to help patients stay on schedule and personalize their healthcare journey.

Problem

Poor medication adherence leads to over $500 billion in healthcare costs in the United States alone. Currently, there's no effective way for real-time monitoring and intervention to improve adherence rates.

Solution

Adhere is an AI assistant application that leverages computer vision technology to:

1. Help patients stay on their medication schedule
2. Personalize patient journeys
3. Provide real-time monitoring and intervention

Features

• Computer vision-based medication recognition
• Personalized medication reminders
• Real-time adherence tracking
• AI-powered intervention suggestions
• User-friendly mobile application interface

Project Status

This project was developed during the AI + Global Health Hack event in September 2024. It is currently in prototype stage.

Getting Started

Prerequisites

• Node.js (v14 or later)
• Python (v3.8 or later)
• pip
• npm or yarn

Backend Setup (FastAPI)

1. Clone the repository:

   git clone https://github.com/your-username/adhere.git
   cd adhere/backend
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Start the FastAPI server:

   uvicorn main:app --reload
   

The backend should now be running on http://localhost:8000.

Frontend Setup (React)

1. Navigate to the frontend directory:

   cd ../frontend
   

2. Install dependencies:

   npm install
   # or, if using yarn:
   # yarn install
   

3. Start the React development server:

   npm start
   # or, if using yarn:
   # yarn start
   

The frontend should now be running on http://localhost:3000.