LinkUpBuddy: A Generative AI-Integrated Platform for Alumni-Student Interaction and Career Development
DOI:
https://doi.org/10.32628/CSEIT25113312Keywords:
Student-Alumni Interaction, Career Preparation, AI Interview Evaluation, ATS-Friendly Resume, GenAI in EducationAbstract
Today’s very competitive job market does not make it easy for students to transition from the academic mindset to the professional mindset because they do not have enough practical exposure, the proper guidance, and the confidence to take on the practical scenarios in the real-world. Colleges improve student’s theory knowledge needed to get into the job market as they have so much more to do beyond academic skills to find a job and perform in it. Working alumni (with experience) can be a great source of support for students in their preparation. LinkUpBuddy is a platform that is built to cater as a bridge between students and alumni. It has three powerful modules: a Student-Alumni Networking module, for career guidance and mentorship, which helps in collaborative learning. A Gen-AI powered mock interview tool (InterviewAce) that evaluates students' audio responses against model answers to provide feedback, from which they can gain confidence to face real interviews. An ATS-friendly Resume Builder to create resumes for their job applications. For a better user experience, AI is used to cluster similar queries into an FAQ section, and a real-time hate speech analyzer for content regulation, which makes the platform safer and more professional. By helping students to ask company-specific questions, receive guidance, and prepare with confidence for their interviews, LinkUpBuddy helps students to make clearcut decisions and approach their career journey with clarity and focus.
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Fisher, J. F., & Price, R. (2021, February 2). Alumni networks reimagined: Innovations expanding alumni connections to improve postsecondary pathways. Retrieved from https://files.eric.ed.gov/fulltext/ED610707.pdf
Ulaanbaatar Erdem University (2023). Application of Artificial Intelligence in Recruitment and Selection. ResearchGate. Retrieved from https://www.researchgate.net/publication/37867678 9_Application_of_Artificial_Intelligence_in_Recru itment_and_Selection
Harvard Business Review. (2022). How to Write a Resume That Will Stand Out to Employers. Harvard Business Review. Retrieved from https://hbr.org/2022/05/how-to-write-a-resumethat-will-stand-out
Smith, L. (2010). Benefits of Collaborative Learning: Implications for Career Preparation. ResearchGate. Retrieved from https://www.researchgate.net/publication/224766541_Benefits_of_collaborative_learning
Gao, L., & Huang, R. (2018). Detecting Online Hate Speech Using Context Aware Models. arXiv preprint arXiv:1710.07395. Retrieved from https://arxiv.org/abs/1710.07395
Clark, J. (2020, July 14). College Alumni See Room for Job-Skill Improvement. Education. Retrieved from https://news.gallup.com/poll/315500/collegealumni-room-job-skill-improvement.aspx
Ebrahim, S. S., & Rajab, H. A. (2025). The Future of HR: The Role of AI-Powered Recruitment in Shaping the Modern Workforce. Open Access Library Journal. Retrieved from https://www.researchgate.net/publication/38875220 7_The_Future_of_HR_The_Role_of_AIPowered_Recruitment_in_Shaping_the_Modern_Workforce
Guan, M., Ma, J., & Dave, K. (2025, March 13). Best Practices for Using AI Tools in HR Mock Interviews: Tips for Success. Written by Michael Guan, edited and reviewed by Jay Ma and Kaivan Dave. Updated March 11, 2025. Retrieved from https://www.finalroundai.com/blog/best-practicesfor-using-ai-tools-in-hr-mock-interviews-tips-forsuccess
Hewage, A. (2023). Exploring the Applicability of Artificial Intelligence in Recruitment and Selection Processes: A Focus on the Recruitment Phase. Journal of Human Resource and Sustainability Studies. Retrieved from https://www.researchgate.net/publication/37362311 4_Exploring_the_Applicability_of_Artificial_Intell igence_in_Recruitment_and_Selection_Processes_A_Focus_on_the_Recruitment_Phase
Zhu, A. (2023, May 12). What is Q&A Platform and How to Use it. Blog / Tutorials. Retrieved from https://answer.apache.org/blog/what-is-q-and-aplatform-and-how-to-use-it/
Usman, N., Hasan, N., & Quadri, S. M. K. (2025). Scalable and Advanced Framework for Hate Speech Detection on Social Media Using BERT and GPT-2 through Encoder and Decoder Architectures. Journal of Computer Science. Retrieved from https://thescipub.com/abstract/jcssp.2025.584.594
Klapper, R. (2023, December 15). Leveraging AI for Enhanced Query Optimization: A Game-Changer in Database Performance. Retrieved from https://hakkoda.io/resources/leveraging-ai-forenhanced-query-optimization/
Jain, R., Kumar, A., & Sharma, P. (2020). Artificial intelligence in interview preparation. International Journal of Computer Applications. Retrieved from https://www.ijcaonline.org/archives/volume176/nu mber30/jain-2020-ijca-919117.pdf
Johnson, D. W., & Johnson, R. T. (2017). The Impact of Cooperative and Competitive Learning Environments on Academic Achievement. Educational Psychologist. Retrieved from https://www.researchgate.net/publication/26059692 3_Johnson_D_W_Johnson_R_T_2013_The_impac t_of_cooperative_competitive_and_individualistic_ learning_environments_on_achievement_In_J_Hatt ie_E_Anderman_Eds_International_handbook_of_ student_achievement_372
Abisha, D., Keerthana, S., Navedha Evanjalin, R., Kavitha, K., Jothi Mary, S., & Ramya, R. (2024). Resspar: AI-Driven Resume Parsing and Recruitment System using NLP and Generative AI. Retrieved from https://ieeexplore.ieee.org/document/10696451
Chen, Y., Zhou, Y., Zhu, S., & Xu, H. (2012). Detecting offensive language in social media to protect adolescent online safety. Retrieved from https://doi.org/10.1109/SocialCom-PASSAT.2012.55
Derycke, A., & Derous, E. (2020). Artificial intelligence in personnel selection: A practical guide for HR professionals. International Journal of Selection and Assessment. Retrieved from https://doi.org/10.1111/ijsa.12302
Thakur, A., Hinge, P., & Adhegaonkar, V. (2023). Use of Artificial Intelligence (AI) in Recruitment and Selection. Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022). SSRN. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4452924
Arora A., Nakov, P., Hardalov, M., Sarwar, S. M., Nayak, V., Dinkov, Y., Zlatkova, D., Dent, K., Bhatawdekar, A., Bouchard, G., & Augenstein, I. (2023). Detecting harmful content on online platforms: What platforms need vs. where research efforts go. ACM Computing Surveys, 56(3). Retrieved from https://dl.acm.org/doi/10.1145/3603399
Fortuna, P., & Nunes, S. (2018). A survey on automatic detection of hate speech in text. ACM Computing Surveys, 51(4). Retrieved from https://dl.acm.org/doi/10.1145/3232676
Chen, Y. (2011). Detecting offensive language in social medias for protection of adolescent online safety. Ph.D. Dissertation, The Pennsylvania State University. [Google Scholar]
Ashrafi, S., Majidi, B., Akhtarkavan, E., & Hajiagha, S. H. R. (2023). Efficient Resume-Based Re-Education for Career Recommendation in Rapidly Evolving Job Markets. IEEE Access. Retrieved from https://www.researchgate.net/publication/375269480_Efficient_resume_based_reeducation_for_career_recommendation_in_rapidly_evolving_job_markets
Abdulrahman, W. (2023). The Power of Artificial Intelligence in Recruitment: An Analytical Review of Current AI-Based Recruitment Strategies. International Journal of Professional Business Review, 8(6). Retrieved from https://openaccessojs.com/JBReview/article/view/2089
França, T. J. F., Mamede, H. S., Barroso, J. M. P., & Santos, V. M. P. D. (2023). Artificial intelligence applied to potential assessment and talent identification in an organisational context. Heliyon, 9(4), e14694. Retrieved from https://doi.org/10.1016/j.heliyon.2023.e14694
Paramita, D., Okwir, S., & Nuur, C. (2024). Artificial intelligence in talent acquisition: Exploring organisational and operational dimensions. International Journal of Organizational Analysis. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/ijoa-09-2023-3992/
Jain, K. K., Sai, R. R., Rama Sai Charan, G., & Narayana, V. A. (2024). AI Interviewer Chatbot for Technical and HR Brilliance: A Tool for Upskilling Candidate. International Journal of Engineering Research & Technology (IJERT), 13(2). Retrieved from https://www.ijert.org/ai-interviewer-chatbot-for-technical-and-hrbrilliancea-tool-for-upskilling-candidate
Zhang, P. (2024). Application of Artificial Intelligence (AI) in Recruitment and Selection: The Case of Company A and Company B. Journal of Business and Management Studies, 6(3). https://doi.org/10.32996/jbms.2024.6.3.18
Paramita, D., Okwir, S., & Nuur, C. (2024). Artificial intelligence in talent acquisition: Exploring organisational and operational dimensions. International Journal of Organizational Analysis. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/ijoa-09-2023-3992/
Jaiswal, A., Arun, C. J., & Varma, A. (2021). Rebooting employees: upskilling for artificial intelligence in multinational corporations. The International Journal of Human Resource Management, 33(6), 1179–1208. https://doi.org/10.1080/09585192.2021.1891114
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