Smart Portfolio and Career Assistant

Abstract

Students often keep their portfolio, resume, job applications and other career information in different places. This can make career preparation repetitive and difficult to manage. Smart Portfolio and Career Assistant was developed as a web-based platform to bring the main activities together. The system provides student registration and login, profile and portfolio management, resume creation and upload, resume analysis, ATS-style scoring and job application features. A separate recruiter side is provided for company information, job posting, applicant review and application-status management. The application uses PHP as the backend technology and MySQL for database storage. The project database contains records related to users, student profiles, portfolios, resumes, uploaded resumes, recruiters, jobs and applications. The screenshots included in this paper show the major application screens and the overall student and recruiter workflow. The project is designed as a practical base for further career assistance. Features such as job recommendation, skill-gap analysis, AI mock interviews and voice assistance are included in the proposed workflow as future extensions. The present paper focuses on the platform and workflows supported by the project material.

Introduction

The text presents a Smart Portfolio and Career Assistant, a web-based platform designed to help students manage their professional profiles, prepare resumes, analyze their resumes and apply for jobs, while enabling recruiters to post job opportunities and evaluate candidates.

Traditionally, students maintain their portfolios, resumes and job applications across different platforms, resulting in repeated work and inconsistent information. The proposed system combines these activities into one centralized application to simplify career preparation and recruitment.

The system offers the following key features:

1. Digital Portfolio Management: Allows students to maintain their academic details, technical skills, projects, certifications and achievements in one place.

2. Resume Builder: Helps students create professional resumes using their stored portfolio information.

3. Resume Analysis: Analyzes uploaded resumes and identifies areas that need improvement.

4. ATS-Style Scoring: Provides a score indicating how well a resume meets common applicant tracking and screening requirements.

5. Job Application Management: Enables students to browse available job opportunities and submit applications.

6. Recruiter Dashboard: Allows recruiters to create company profiles, publish job openings and manage recruitment activities.

7. Candidate Evaluation: Helps recruiters review candidate profiles, resumes, ATS scores and applications, and shortlist suitable applicants.

8. Centralized Database: Stores student profiles, resumes, portfolios, job details and application records for easy access and management.

The system follows a modular development approach, with separate modules for authentication, portfolio management, resume building, resume analysis, ATS scoring, job postings, applications and recruiter functions.

The technology stack includes:

• PHP: Backend development and application logic.

• MySQL: Database management and information storage.

• Web Technologies: Development of the user interface.

• File Upload System: Uploading and managing resume documents.

The platform also incorporates basic security features such as password hashing, server-side validation and controlled application statuses.

Future enhancements may include AI-based skill-gap analysis, personalized job recommendations, AI mock interviews, interview feedback and an HR chatbot or voice assistant.

Conclusion

Smart Portfolio and Career Assistant brings important career-preparation and recruitment activities into one web-based platform. Students can maintain their professional profile and portfolio, create or upload a resume, review resume analysis, check an ATS-style score and apply for jobs. Recruiters can create jobs, review applications and manage candidate status. The PHP and MySQL implementation provides a clear and persistent structure for the system. The project also creates a useful base for future intelligent services because student skills, resume information and job requirements can be stored in an organized way. Overall, the system addresses the problem of fragmented career preparation while keeping the current scope practical. The proposed AI features can be added step by step in future versions.

References

[1] G H Raisoni University, School of Engineering and Technology, Project and Academic Guidelines for B.Tech Project Documentation, 2026. [2] PHP Documentation, PHP: Hypertext Preprocessor, official documentation. [3] Oracle, MySQL 8.0 Reference Manual. [4] phpMyAdmin Documentation, MySQL database administration documentation. [5] OWASP Foundation, OWASP Top 10: Web Application Security Risks. [6] V. Vapnik, The Nature of Statistical Learning Theory, Springer. [7] T. Mitchell, Machine Learning, McGraw-Hill. [8] T. Brown et al., “Language Models are Few-Shot Learners,” Advances in Neural Information Processing Systems, 2020. [9] A. Vaswani et al., “Attention Is All You Need,” Advances in Neural Information Processing Systems, 2017. [10] A. Radford et al., “Robust Speech Recognition via Large-Scale Weak Supervision,” OpenAI, 2022. [11] S. Bird, E. Klein and E. Loper, Natural Language Processing with Python, O’Reilly Media. [12] J. Fielding, Architectural Styles and the Design of Network-based Software Architectures, PhD dissertation, University of California, Irvine. [13] W3C, Web standards and accessibility guidance for web applications. [14] The Linux Foundation, documentation and community resources for open-source web development environments. [15] Project database: smartportfolio, supplied SQL dump generated through phpMyAdmin, MySQL Server 8.0.46, October 2026.

Copyright

Copyright © 2026 Ms. Surabhi Chavhan, Shivam Lanjewar, Sunny Katre, Mohammad Umar, Arsh Turk. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.