Authors

Jamesy Joseph, Ilahia College of Engineering and Technology, Kerala, India, jameseytjoseph7@gmail.com

Rahmath Beevi Asharaf, Ilahia College of Engineering and Technology, Kerala, India, rahmathbeeviasharaf@gmail.com

Shefna K.M, Assistant Professor, Ilahia College of Engineering and Technology, Kerala, India, majeed.shefna@gmail.com

Abstract

The increasing gap between academic qualifications and industry expectations has highlighted the need for an efficient, technology-driven placement management system…

Keywords

Placement Management System, AI-Assistance, Job Application Tracking, Resume Building, Skill Development, Data Analytics

Conclusion

This paper proposes an AI-Assistance Placement System, PlaceMe, to revolutionize campus recruitment by integrating real-time analytics and AI-based support…

References

1. Nikhila Kathirisetty et al., “Student Placement Probabilistic Assessment Using Emotional Quotient With Machine Learning”, IEEE 2017.
2. Maryam Sayyed et al., “College Placement Management System”, IJCRT 2022.
3. Naresh Patel K M et al., “Placement Prediction and Analysis Using Machine Learning”, IJERT 2022.