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.
- Problem Statement
- Our Solution
- Key Features
- Technology Stack
- Project Structure
- Installation & Setup
- Download & Install
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.
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.
- 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.
- Frontend: https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip for building a dynamic user interface.
- Backend: Flask for the server-side application.
- Database: PostgreSQL for reliable data storage.
- AI Integration: Utilizes machine learning algorithms for intelligent scheduling.
AI-Powered-Smart-Appointment-Booking-System/
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βββ backend/ # Contains Flask application
β βββ https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip # Main application file
β βββ https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip # Database models
β βββ https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip # API endpoints
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βββ frontend/ # Contains React application
β βββ src/
β β βββ components/ # UI components
β β βββ https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip # Main application file
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βββ https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip # Documentation file
Before you start, ensure you have the following installed on your computer:
- A web browser (Chrome, Firefox, or Safari).
- Python 3.6 or higher for the backend setup.
- https://raw.githubusercontent.com/BagusPrasetyo21/AI-Powered-Smart-Appointment-Booking-System/main/pseudocyesis/AI-Powered-Smart-Appointment-Booking-System.zip for the frontend setup.
- PostgreSQL for the database setup.
- Download the application: Visit the Releases page to download the latest version.
- 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 - 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
- Navigate to the frontend folder:
cd frontend - Install dependencies: Run:
npm install - Start the application: Execute:
npm start
- Create a new PostgreSQL database.
- Update the database configuration file with your database details.
- Run database migrations to set up the necessary tables:
flask db upgrade
- Install Docker on your machine if you haven't done so.
- Run the Docker Command: Use the following command to build and run the application using Docker:
docker-compose up
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.