INTERVIEW PREPARATION AND INTERNSHIP FINDER APPLICATION | IJCT Volume 13 – Issue 2 | IJCT-V13I2P86
International Journal of Computer Techniques
ISSN 2394-2231
Author
Ruby Angel T G, Gayathri N, Srinithi M, ShreeHarinee G T, Ranjana S, Swetha M
Abstract
In the modern competitive job landscape, students often face difficulties in preparing effectively for interviews and identifying suitable internship opportunities. This paper proposes an intelligent integrated platform that combines interview preparation resources with an internship recommendation system. The system utilizes machine learning techniques to analyze user profiles, including skills, academic background, and interests, to deliver personalized interview questions, mock assessments, and internship recommendations. By bridging the gap between preparation and opportunity discovery, the system enhances employability and career readiness. The proposed model demonstrates improved efficiency, personalization, and accessibility compared to traditional methods.
Keywords
Interview Preparation, Internship Finder, Machine Learning, Recommendation System, Career Guidance, NLP
Conclusion
In conclusion, the proposed AI-based Interview Preparation and Internship Finder system provides a comprehensive and intelligent solution to the challenges faced by students in career development. By integrating personalized interview preparation, real-time feedback, and a smart internship recommendation engine into a unified platform, the system goes beyond traditional services offered by platforms like LinkedIn and Internshala. Leveraging advanced Natural Language Processing techniques such as BERT, it enables accurate resume analysis, adaptive question generation, and effective skill gap identification. The system not only improves interview readiness but also enhances the relevance of internship matches, thereby increasing the chances of successful placements. Overall, this project demonstrates how the application of AI and machine learning can streamline the recruitment process and support users in achieving their career goals more efficiently.
Furthermore, the system emphasizes continuous learning and adaptability by tracking user performance over time and dynamically updating recommendations and interview questions based on progress. This iterative feedback loop ensures that users are not only prepared for a single interview but are consistently improving their communication, technical knowledge, and confidence.
In addition, the scalability and flexibility of the proposed system make it suitable for deployment across educational institutions and training organizations. It can be integrated with existing learning management systems to support large numbers of users simultaneously, while also allowing customization based on specific domains, industries, or academic backgrounds.
Finally, the proposed solution opens up opportunities for future advancements, including the integration of voice-based interview simulations, AI-driven career counseling, and real-time interaction with recruiters. Enhancements such as deeper integration with platforms like Glassdoor can provide additional insights into company expectations and interview patterns. Overall, the system lays a strong foundation for transforming traditional career preparation methods into a more intelligent, data-driven, and user-centric approach.
References
[1]Koshti, H., et al. (2025). AI-Powered Interview Preparation System. View Paper-Uses NLP, speech recognition, and emotion detection for interview evaluation.
[2]Geethanjali, B. S., et al. (2025). AI-Based Internship Recommendation System. View Paper– Explores hybrid recommendation techniques for internship matching.
[3]Rishika, K., et al. (2025). CogniSphere: AI Interview Coach using Recommendation System. View Paper– AI-based adaptive interview preparation with learning analytics..
[4]Rajeswari, P. V. N., et al. (2025). AI Interview Preparation System using MERN Stack. View Paper– Combines resume analysis, question bank, and mock interviews
[5]Kondkari, T., et al. (2026). Prepal AI: Technical Interview Preparation Platform. View Paper– End-to-end AI system for technical interview training.
[6]Mythrayan, H., et al. (2026). AI Interview Preparation System.View Paper– Uses multimodal analysis (video + audio) for performance evaluation.
How to Cite This Paper
Ruby Angel T G, Gayathri N, Srinithi M, ShreeHarinee G T, Ranjana S, Swetha M (2026). INTERVIEW PREPARATION AND INTERNSHIP FINDER APPLICATION. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
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