Afyachecker MVP Scaffold.

AfyaChecker is a web application that allows users to prompt their health symptoms in both Swahili and English and get a preliminary diagnosis and advice. The frontend is built with React and the backend is a FastAPI server that uses the ChatGPT API for analysis.

Tech Stack

Frontend

Backend

Tools & Platforms

Quick Start

Prerequisites

• Python 3.8+
• Node.js 14+
• OpenAI Developer Account

Project Structure

• frontend/: Contains the React application.
• backend/: Contains the FastAPI backend.

Setup and Installation

Backend

1. Navigate to the backend directory:

   cd backend

2. Install the required Python packages:

   pip install -r requirements.txt

3. Set your OpenAI API key as an environment variable:

   export GROQ_API_KEY='your_GROQ_API_KEY'

4. Run the backend server:

   uvicorn main:app --host 127.0.0.1 --port 8000

Frontend

1. Navigate to the frontend directory:

   cd frontend

2. Install the required npm packages:

   npm install

3. Start the React development server:

   npm start

Usage

1. Open your web browser and navigate to http://localhost:3000.
2. Interact with an AI.

I need coffee to stay alive. Yes i'm that Dumb.

License

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

Support

If you have any questions or issues, please open an issue on GitHub or contact mwalyangashadrack@gmail.com

Enjoy!