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πŸ€– Streamline appointment scheduling with an AI-driven system that optimizes bookings based on availability, urgency, and user preferences.

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πŸ“… AI-Powered-Smart-Appointment-Booking-System - Streamline Your Appointment Scheduling

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An intelligent, AI-driven web application designed to streamline appointment scheduling for services like medical consultations, tutoring sessions, or business meetings. By leveraging artificial intelligence, the system optimizes appointment allocations based on availability, urgency, and user preferences.

πŸ“‹ Table of Contents

πŸ” Problem Statement

Managing appointments can be complex and time-consuming. Many people struggle with scheduling conflicts, missed appointments, and inefficient use of time. This application aims to resolve these issues through smart automation.

πŸ’‘ Our Solution

The AI-Powered Smart Appointment Booking System takes the guesswork out of scheduling. It analyzes user preferences and availability, ensuring that appointment times work for everyone involved. This results in fewer missed meetings and better time management.

⭐ Key Features

  • Smart Scheduling: The system automatically suggests optimal appointment times.
  • User-Friendly Interface: Simple navigation makes it easy for anyone to use.
  • Notifications: Reminders sent via email or SMS to ensure appointments are not missed.
  • Multilingual Support: Available in multiple languages for wider accessibility.
  • Secure Data Handling: User information is managed safely to protect privacy.

βš™οΈ Technology Stack

πŸ“‚ Project Structure

AI-Powered-Smart-Appointment-Booking-System/
β”‚
β”œβ”€β”€ backend/               # Contains Flask application
β”‚   β”œβ”€β”€ https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip             # Main application file
β”‚   β”œβ”€β”€ https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip          # Database models
β”‚   └── https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip          # API endpoints
β”‚
β”œβ”€β”€ frontend/              # Contains React application
β”‚   β”œβ”€β”€ src/
β”‚   β”‚   β”œβ”€β”€ components/    # UI components
β”‚   β”‚   └── https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip         # Main application file
β”‚
└── https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip              # Documentation file

πŸ› οΈ Installation & Setup

πŸ“ Prerequisites

Before you start, ensure you have the following installed on your computer:

πŸ–₯️ Backend Setup (Flask)

  1. Download the application: Visit the Releases page to download the latest version.
  2. Install required libraries: Run the following command in your terminal to install the required libraries:
    pip install -r https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip
    
  3. Run the backend server: Execute the following command to start the server:
    python https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip
    

🎨 Frontend Setup (React)

  1. Navigate to the frontend folder:
    cd frontend
    
  2. Install dependencies: Run:
    npm install
    
  3. Start the application: Execute:
    npm start
    

πŸ—„οΈ Database Setup

  1. Create a new PostgreSQL database.
  2. Update the database configuration file with your database details.
  3. Run database migrations to set up the necessary tables:
    flask db upgrade
    

🐳 Docker Setup (Optional)

  1. Install Docker on your machine if you haven't done so.
  2. Run the Docker Command: Use the following command to build and run the application using Docker:
    docker-compose up
    

⬇️ Download & Install

To get started, visit the Releases page to download the application. Choose the latest version and follow the installation steps listed above to set up the software on your system.

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