Cititype

Cititype is an innovative web application that leverages data analytics and location-based algorithms to match users with their ideal U.S. city based on personal preferences, employing a comprehensive dataset encompassing demographics, climate, cost of living, cultural amenities, employment statistics, and quality of life indicators. Built with modern web technologies including HTML, CSS, and JavaScript for the frontend with Python or Node.js handling backend data processing, the application implements intelligent weighted scoring algorithms that balance competing priorities like affordability, weather, job market strength, and cultural vitality to generate personalized city recommendations with clear explanations. The interface prioritizes user engagement through clean, progressive disclosure design that guides users through preference selection without overwhelming them, featuring responsive layouts that work seamlessly across desktop and mobile devices. This project showcases expertise in database management, algorithmic decision-making, data visualization, and translating complex multi-variable analysis into an intuitive user experience, demonstrating the ability to identify genuine user needs and create data-driven applications that make major life decisions more manageable while maintaining professional polish and user-centered design principles.