Technologies Used

• 1. Python
  Description: Python is a high-level, general-purpose programming language known for its readability and ease of use. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python is widely used in data science, web development, automation, artificial intelligence, and scientific computing due to its extensive libraries and frameworks.
• 2. React
  Description: React is a popular JavaScript library for building user interfaces, especially single-page applications. Created by Facebook, React allows developers to create reusable UI components that manage their own state, making it highly efficient for building dynamic and responsive web applications. It follows a component-based architecture and uses a virtual DOM to improve performance.
• 3. Firebase
  Description: Firebase is a platform by Google that provides a suite of tools for building, managing, and scaling web and mobile applications. It includes services like a real-time NoSQL database, cloud storage, authentication, analytics, and push notifications. Firebase is particularly popular for rapid development and integration of backend functionalities without managing servers.
• 4. Google Colab
  Description: Google Colab (Colaboratory) is a free, cloud-based Jupyter notebook environment provided by Google. It supports Python and is widely used for data science, machine learning, and deep learning tasks. Colab allows users to write and execute Python code directly in the browser, with access to GPUs and TPUs for enhanced computational power.
• 5. Google Maps API
  Description: Google Maps API is a suite of web services that allows developers to integrate interactive maps, location-based services, and real-time navigation into applications. It offers functionalities like location search, route optimization, geocoding, and Street View, enabling applications to provide user-centered location and direction information.