AI Smart College Companion

Author

Mrs. Ambika S, Janushika S, Madhumithra P, Jivith Pravin PV

Abstract

 Traditional student-management systems mainly store student records and generate reports. The proposed AI Smart College Companion uses a Collaborative Multi-Agent System to analyze student information such as attendance, academic performance, technical skills, CGPA,communication, and placement-related information. Specialized agents process different aspects of the student profile and provide personalized insights and recommendations through an interactive Streamlit dashboard.

Keywords

AI Smart College Companion, Collaborative Multi-Agent System, Student Analytics, Skill Gap Analysis, Placement Eligibility, Job Recommendation, Course Recommendation, Resume Score.

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References

1. Python Software Foundation. Python Documentation.
2. Streamlit Documentation.
3. Pandas Development Team. Pandas Documentation.
4. OpenPyXL Documentation. Python library for Excel workbook processing.
5. Russell, S. J., & Norvig, P. Artificial Intelligence: A Modern Approach. Pearson.
6. Wooldridge, M. An Introduction to MultiAgent Systems. Wiley.
7. Department of Artificial Intelligence and Data Science. AI Smart College Companion – Project Implementation.

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