International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | UDAAN – AI-Based Dropout Prediction and Counselling System |
|---|---|
| ABSTRACT | Student dropout has emerged as a critical educational challenge as institutions struggle to track academic, financial, and behavioral indicators that contribute to student disengagement. Traditional monitoring systems are often fragmented, manual, and reactive, leading to late detection of at-risk students. This research presents UDAAN, an AI-driven Early Warning and Counselling System designed to predict dropout probability using machine learning and provide real-time alerts to mentors and parents. The system integrates student data such as attendance, academic performance, and fee status, and uses a Random Forest Classifier, achieving an accuracy of 89.5%. A web-based dashboard built using ReactJS, a Django REST backend, and cloud deployment enables seamless use of the system across devices. UDAAN also includes a structured counselling module to ensure timely intervention. The system demonstrates that AI-driven educational analytics significantly help in reducing student dropouts and improving academic outcomes. Future enhancements include integration with institution-wide ERP, deep learning models, and multilingual support. |
| AUTHOR | SUNIDHI PATLE, UMESH FARKADE, UTSAV TALREJA, VIBHANSHU SINGH UG Student, Dept. of CSE – AIML, Oriental Institute of Science and Technology, Bhopal, India Assistant Professor, Dept. of CSE – AIML, Oriental Institute of Science and Technology, Bhopal, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312133 |
| pdf/133_UDAAN – AI-Based Dropout Prediction and Counselling System.pdf | |
| KEYWORDS | |
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