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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM54761
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In today’s fast-changing educational environment, managing data effectively and improving communication are key to making college operations run smoothly. A major part of this is the Training and Placement (T&P) process, which helps students connect with job opportunities. In the past, this was mostly done by hand—teachers acting as placement coordinators gathered student details, academic records, and internship information, often using paper-based or offline methods. While this works for smaller groups, it becomes slow, messy, and hard to manage when dealing with a lot of students. Coordinating manually also makes real-time communication difficult. Teachers and the dean often have to send updates through WhatsApp or other messaging apps, like information about company arrival times, when students need to report, or what documents to bring. This takes up a lot of time and can lead to mistakes, missed messages, and scheduling issues. Keeping track of placement numbers, looking at performance data, and making reports for the college’s records is also a big job when done by hand. To solve these problems, a digital T&P management system offers a smarter, automated way to handle all placement activities.It stores all student and placement data in one organized place, allowing coordinators to easily access, update, and check information. The system sends automatic alerts, helps choose the right candidates based on their qualifications, and tracks placement events in real time. It also makes it easier to keep records of past placements and study trends, so colleges can accurately measure their performance and growth. Using such a digital tool improves transparency, makes the process more reliable, and makes everything run more efficiently.
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Publication Date
2/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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