SkillForge: An Artificial Intelligence Enhanced Learning Platform for Technical Education and Interview Preparation

This paper presented SkillForge, an artificial intelligence enhanced learning platform that combines structured tech- nical learning, artificial intelligence assistance, quiz genera- tion, progress tracking, daily streaks, badges, feedback, and interview simulation. The project was developed to reduce the difficulty students face when they depend on several disconnected tools for learning and placement preparation. The platform shows how large language model support can be combined with a full-stack application to provide a more continuous learning experience. It does not try to replace teachers or standard learning resources, but it gives students one place to study, practice, ask doubts, and prepare for interviews. Future work can include stronger analytics, short-note per- sistence, recommendation of next topics, admin-level review of generated content, and adaptive learning paths based on quiz and interview performance.

[1]     React Documentation, “React: The library for web and native user interfaces,” https://react.dev/ [2]     Vite Documentation, “Next Generation Frontend Tooling,” https://vitejs. dev/ [3]     Node.js Documentation, “Node.js,” https://nodejs.org/ [4]     Express.js Documentation, “Fast, unopinionated, minimalist web frame- work for Node.js,” https://expressjs.com/ [5]     MongoDB Documentation, “MongoDB Manual,” https://www.mongodb. com/docs/ [6]     Mongoose Documentation, “Elegant MongoDB object modeling for Node.js,” https://mongoosejs.com/ [7]     Auth0, “JSON Web Tokens Introduction,” https://jwt.io/introduction [8]     Groq Documentation, “Groq API and SDK Documentation,” https: //console.groq.com/docs [9]     W. X. Zhao et al., “A Survey of Large Language Models,” arXiv preprint arXiv:2303.18223, 2023. [10]    X. Zhai et al., “Generative Artificial Intelligence in Education: Appli- cations, Challenges, and Future Directions,” 2024.