TRY AT https://woz-clone.vercel.app/ A clone of a website focusing on a "Live Search Box" and a multi-step wizard.
This project is centered around creating an exact replica of a specific feature from an existing website. The focus is on developing a live search box and a multi-step wizard, providing an intuitive and responsive user experience.
- Next.js for server-side rendering and enhanced page speed
- Emotion for styled components, enabling dynamic CSS
- React Select for advanced selection components
- Little State Machine for lightweight state management across steps
- Jest for testing and ensuring code reliability
Developed as part of a technical assessment, this project aims to replicate key features of the WOZ Check application. It demonstrates the ability to integrate a live search box, manage application state, and navigate through a series of steps efficiently.
- Live Search Box: Implemented with
react-select
, allowing users to search and select addresses dynamically. - Step Wizard: Utilizes
little-state-machine
to manage the state across different steps, ensuring a smooth user flow. - Responsive Design: Adapts to various screen sizes, providing an optimal user experience on any device.
- The live search box was one of the most complex components, involving API integration for dynamic address lookup.
- Implemented debouncing to optimize search performance and reduce unnecessary API calls.
- Carefully designed UI to ensure a user-friendly experience during the address selection process.
- Created a little state machine to manage the state transitions between steps in the wizard-like flow.
- This approach provided a structured yet flexible way to handle the application's state, making the code more maintainable and scalable.
- Incorporate additional interactive elements as per the original design.
- Further enhance SEO and performance metrics.
- Expand testing
- Efficient API Integration: Mastered the implementation of a live search box, dealing with dynamic user inputs and API responses.
- Advanced State Management: Gained proficiency in using
little-state-machine
for managing the application's state across multiple steps.
Jan 2022 - Approximately 15 hours spent