TEAM GENERATOR
DOI:
https://doi.org/10.62643/Keywords:
organizingAbstract
In educational institutions, efficiently organizing students into effective study groups or batches is
crucial for academic success and faculty guidance. This project focuses on automating the process
of team formation and guide allocation based on student academic records and faculty expertise.
Initially, student data, including names, roll numbers, semester-wise marks, and CGPA (if
applicable), are extracted from an Excel sheet and stored in a database. For students with pending
examinations, the number of backlogs is recorded for subsequent handling. Students who have
achieved a CGPA through passing all their examinations are grouped into batches, ensuring equal
distribution based on academic performance. Students with backlogs are assigned to separate
groups. The next phase involves allocating faculty guides to each batch. Guides are selected based
on their qualifications, including designation, experience (minimum 5 years), and domain
expertise. Faculty preferences for specific domains are considered to ensure optimal mentorship
alignment. Finally, the total number of students is divided into batches of four students each, with
the batch count adjusted to accommodate any remaining students in a final batch of appropriate
size. This project streamlines the team formation process, enhances academic collaboration, and
ensures effective mentorship, thereby improving overall learning outcomes in educational settings.
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