Algo Visor

• Main Author: Soh, Darren JunHan
• Other Authors: Shao Xuguang, Michelle
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Engineering; Software engineering; Computer science; Data structures; Algorithms
• Online Access: https://hdl.handle.net/10356/177186
• Institution: Nanyang Technological University

Understanding data structures and algorithms is paramount for solving modern-day software engineering problems. However, meeting this demand requires a combination of tools and an ongoing commitment to lifelong learning which is hard to foster if not for the existence of good SAAS and PAAS. Continuous learning is essential to staying abreast of developments in the industry. This commitment begins with fostering a sense of belonging, encouraging individuals to remain engaged and proactive. Even after graduation, both alumni and current students can benefit from a software platform that not only prepares them for interviews but also gives ongoing learning and connection opportunities through a dedicated meeting channel. Moreover, embracing lifelong learning involves more than just preparing for interviews. It entails a willingness to review and revisit content covered by educational institutions, reinforcing foundational knowledge, and exploring new concepts. By creating an environment that supports this ongoing process of learning and growth, individuals can stay competitive in the ever-evolving field of software engineering. AlgoVisor is hence made into a one stop full stack solution for the above problems and is developed with top processing capabilities and scaling in mind. It contains 4 unique features namely: • Algo Visual: The ability to show how an algorithm runs along with snippet codes. • Algo Meets: Students can discuss different topics on algorithms in Virtual Reality space and in real time, • Algo Concepts: Reviewing curated content to learn and practice on algorithms topics. • Algo Code: To write and implement code or practice for interviews.