Uganda Telemedicine App

Telemedicine and Health Consultation App with AI-based Symptom Checker

Project Structure

• frontend/: Contains the frontend code for the web application
• backend/: Contains the Flask backend API
  • database/: Contains the PostgreSQL database schema and connection module
• ai-module/: Contains the AI model for symptom checking

Features

• AI-based symptom checker that predicts potential health conditions
• User registration and authentication
• Storage of symptom inputs and prediction results
• User history tracking

Backend Setup

1. Install Python dependencies:

   cd backend
   pip install -r requirements.txt

2. Set up the PostgreSQL database:

   • Follow the instructions in backend/database/README.md

3. Create a .env file based on .env.example:

   cp .env.example .env
   # Edit .env with your database credentials

4. Run the Flask application:

   python app.py

API Endpoints

• POST /api/users: Register a new user
• POST /api/users/login: Login a user by email
• POST /api/symptom-checker: Process symptom data and return prediction
• GET /api/users/{user_id}/history: Get a user's symptom input and prediction history

Database Schema

The application uses a PostgreSQL database with the following tables:

1. users: Stores user information
2. symptom_inputs: Stores user symptom data
3. predictions: Stores AI model predictions

For more details, see backend/database/schema.sql.