Mooz
Video interview platform for job-seekers looking to elevate their skills.
The purpose of this project was to develop an advanced video interview platform that mimics authentic interview conditions. The primary goal was to help users enhance their interview skills by selecting from a range of questions, recording their responses, and reviewing their performance. This comprehensive approach aims to build users' confidence and skills, ultimately enhancing their performance in actual job interviews. The platform employs secure, multi-layered user authentication, ensuring the safety of users' data, as well as various tools such as an AI assistant, which provides personalised career feedback and guidance.
Background
My specific role on the project
As a software engineer, I was responsible for implementing the entire lifecycle of the project. This involved gathering and analysing requirements, designing the system architecture, and developing core functionalities. I integrated multi-layered user authentication protocols to ensure data security and privacy. Additionally, I designed and implemented the user interface for an intuitive experience. I conducted thorough testing, deployed the platform, and provided ongoing maintenance and updates to ensure its robustness and effectiveness.
The rest of this page is currently under construction. Check back in soon to find out more about the design, implementation, testing and deployment of this project!