Smart City Services Web

Abstract With increasing urban migration, individuals often struggle to locate essential services in unfamiliar cities. This project introduces a Smart City Service Web Application built using Python Flask, aimed at assisting users in finding key facilities such as jobs, schools, hospitals, public transportation, tourist attractions, and more. The platform provides a seamless way for users to search for city services and navigate to them through Google Maps integration. The system features a user authentication module that allows individuals to register and log in for a personalized experience. Once authenticated, users can search for essential services, including police stations, hotels, hostels, job opportunities, schools, colleges, restaurants, and tourist spots. The search results dynamically fetch relevant locations and redirect users to Google Maps, enabling real-time navigation and detailed directions. The Flask-based backend efficiently handles user requests, authentication, and database management, while the frontend is built with HTML, CSS, and JavaScript, ensuring a responsive and user-friendly experience. The platform is lightweight, scalable, and mobile-friendly, making it accessible across multiple devices. This Smart City Guide enhances accessibility to essential services, providing a structured and efficient way for newcomers to explore a city. Future enhancements may include AI-driven recommendations, real-time traffic updates, and chatbot assistance to further improve the user experience.