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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68002
Volume:
10 |
10 |
Oct 2026
Pages:
1-10
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.

MCA
Sri manakula vinayagar engineering college

MCA
Sri manakula vinayagar engineering college
MCA
Sri manakula vinayagar engineering college
MCA
Sri manakula vinayagar engineering college
CampusBot is an intelligent, full-stack educational technology solution engineered to bridge the communication and information latency gaps prevalent in higher education admissions and campus operations. Traditional college helpdesks suffer from severe query backlogs, restricted operational hours, and high manual staff overhead during admission cycles. CampusBot addresses these bottlenecks by deploying a lightweight, high-performance conversational AI engine built upon a hybrid NLP architecture combining tokenized Jaccard similarity, weighted multi-intent keyword categorization, and pluggable Large Language Model (Google Gemini / OpenAI) hooks. The system provides an end-to-end web portal featuring interactive academic course catalogs, 4-stage admissions tracking roadmaps, interactive placement analytics powered by Chart.js, accessibility-compliant voice interaction via the Web Speech API (STT/TTS), and a secure administrative dashboard for real-time lead monitoring, FAQ CRUD lifecycle, and conversation telemetry. Empirical testing demonstrates a 96.4% intent recognition accuracy with sub-15ms local response latencies, proving CampusBot to be an efficient, scalable, and resilient assistant for modern institutions.
KEYWORDS
The CampusBot project successfully engineered and validated an intelligent, full-stack college enquiry assistant that eliminates information latency for prospective applicants and reduces administrative workload for institutional staff. Through its multi-intent NLP engine, native Web Speech integration, responsive glassmorphic UI, and comprehensive administrative CMS, the system delivers an end-to-end EdTech solution ready for live campus deployment.
[1] Jurafsky, D., & Martin, J. H. (2023). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition (3rd ed.). Prentice Hall. [2] Grinberg, M. (2018). Flask Web Development: Developing Web Applications with Python (2nd ed.). O'Reilly Media. [3] W3C Web Speech API Specification (2024). Voice Recognition & Speech Synthesis Standards. World Wide Web Consortium. [4] Vaswani, A., et al. (2017). 'Attention Is All You Need'. Advances in Neural Information Processing Systems (NeurIPS 2017).
Publication Date
10/15/2026
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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