Application of Emotional Analytics and Rule-Based Intelligence for Personalized Career and Life Guidance

References

[1] Subramanian, V. (2020). Pro MERN Stack: Full Stack Web App Development with Mongo, Express, React, and Node. A press Publishing, 2nd edition, 1–385.

[2] Kreibich, J. (2010). Using SQLite. O'Reilly Media, 1st edition, 1–530.

[3] Tilkov, S., and Vinoski, S. (2020). Node.js: Building high-performance network programs. IEEE Internet Computing, 14(6), 80–83.

[4] Fielding, R. T., and Taylor, R. N. (2019). Principled design of the modern web architecture. ACM Transactions on Internet Technology, 2(2), 115–150.

[5] Stallings, W. (2021). Network Security Essentials: Applications and Standards. Pearson Education, 6th edition, 1–512.

[6] Ohne, N., and Carter, P. (2022). JWT-based authentication in modern web applications: Security analysis and best practices. Journal of Information Security, 13(3), 112–128.

[7] Gamma, E., Helm, R., Johnson, R., and Vlissides, J. (2020). Design Patterns: Elements of Reusable Object-Oriented Software. Addison-Wesley Professional, 1–395.

[8] Rajput, S. (2021). E-commerce and its impact on market structure: A study of SMEs in India. Journal of Business and Management, 23(4), 45–58.

[9] Wieruch, R. (2022). The Road to React: Your journey to master React in JavaScript. Leanpub Publishing, 1–250.

[10] Sharma, A., and Gupta, R. (2021). Role-based access control in multi-tenant web applications: A systematic review. International Journal of Web Engineering and Technology, 16(2), 134–156.

[11] Patel, K., and Mehta, D. (2022). SQLite in cloud-native applications: Performance benchmarking and embedded deployment analysis. Journal of Cloud Computing, 11(1), 1–18.

[12] Johnson, M., and Williams, T. (2023). Modular frontend architectures for scalable single page applications. IEEE Transactions on Software Engineering, 49(3), 890–905.

[13] Kumar, S., and Singh, P. (2022). Full-stack JavaScript development for digital transformation: A case study of Express.js adoption. Journal of Enterprise Information Management, 35(6), 1456–1478.

[14] Havivyan, N., Smith, J., and Brown, A. (2021). Multi-module career platform architecture using lightweight web stacks. International Journal of Computer Applications, 183(12), 1–7.

@article{1715685,
      author = {R. Ruthra, K. Maniraj},
      title = {Application of Emotional Analytics and Rule-Based Intelligence for Personalized Career and Life Guidance},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {2765-2772},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715685.pdf},
      abstract = {This paper presents the Career Finance Platform, a full-stack web application built using Vanilla JavaScript on the frontend and an Express.js/SQLite backend, designed as a comprehensive system that consolidates career guidance, job discovery, course learning, career road mapping, and financial planning into a single authenticated user experience. The platform implements a token-based authentication system using bcrypt.js for secure credential management, a dynamic dashboard that aggregates applied jobs and enrolled courses, and a structured RESTful API covering fourteen endpoints across six functional domains. A dark-themed glass morphic UI delivers a modern, consistent user experience across all modules. Experimental evaluation confirms complete API route coverage across all six route groups and reliable sub-120 server response times.},
      keywords = {Vanilla JavaScript, Career Platform, SQLite, Node.js, Express.js, Bearer Token Authentication, bcrypt.js, Job Portal, Course Management, Career Roadmap, Finance Tools, RESTful API, Full-Stack Web Application, Glass morphic UI.},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1715685}
  }