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 | Python-Powered Academic Chatbots: A Review of NLP and ML Approaches for Educational Support |
|---|---|
| ABSTRACT | This review synthesizes contemporary research on intelligent chatbots designed for academic use, with emphasis on Python-based implementations that leverage recent advances in Natural Language Processing (NLP) and Machine Learning (ML). Building on the user's base paper "Smart Chatbot for Academics: A Python-Based Approach to Enhance Educational Support," we examine the state-of-the-art in educational conversational agents, architecture patterns, datasets, evaluation methodologies, deployment challenges, and future directions. The review highlights strengths of modern transformer-based models for context-aware response generation, discusses knowledge-base integration for domain specificity, and evaluates evaluation metrics used in academic settings. Gaps remain in adaptability to domain-specific curricula, interpretability, multilingual support, and robust real-time deployment. We conclude with recommendations for designing scalable, privacy-aware, and pedagogically effective academic chatbots |
| AUTHOR | MONALI R. PAWAR, PROF. DR. SHUBHANGI D. GUNJAL, PROF. DR. ANAND A. KHATRI, PROF SACHIN B. BHOSALE |
| PUBLICATION DATE | 2025-10-10 |
| VOLUME | 175 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1310011 |
| pdf/11_Python-Powered Academic Chatbots.pdf | |
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