Career Recommendation System
The Career Recommendation System is a proposed web-based application designed to help students identify suitable career paths based on their skills, educational qualifications, interests and experience. In today’s competitive job market, students often face difficulties in choosing the right career, understanding industry requirements, identifying skill gaps and preparing professional resumes. Traditional career guidance methods may not always provide personalized recommendations based on an individual’s profile and career goals. The proposed Career Recommendation System provides a centralized platform where users can create and manage their profiles, receive personalized career recommendations, analyze the skills required for specific careers and build professional resumes. The system also incorporates AI-based assistance to generate relevant career suggestions and internship or job recommendations, helping students explore opportunities that align with their qualifications and interests. Additionally, the resume builder enables users to create and preview resumes and download them in PDF format. The project aims to make career planning more accessible, personalized and efficient by combining profile management, career guidance, skill gap analysis and AI-assisted recommendations in a single platform. It provides a foundation for future enhancements such as real-time job portal integration, advanced machine learning-based recommendation algorithms, aptitude assessment, career trend analysis and personalized learning path suggestions.
Authors
- Dharmendra Roy
- Neela Chandana
- Marella Amulya
- Mamidi Hema Hasini
- Pandari Pragnya Shri
Publication Details
- Journal
- Iconic Research and Engineering Journals
- Published
- 2026-11-03
- DOI
- https://doi.org/10.64388/ire1724707
- Primary Topic
- Recommender Systems and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00