Year: 2024
Type: article
Abstract: Across engineering institutes, inquiries from students and parents surge during the admission period, covering topics like admissions processes, eligibility, college details, fees, curriculums, scholarships, and placements. Current methods like calls, emails, and visits are inefficient, leading to delays and higher workloads for staff. An AI-powered chatbot using Retrieval-Augmented Generation (RAG) and NLP offers a solution by providing 24/7 instant, accurate, and personalized responses in multiple languages, including English, Hindi, and regional languages. It automates answers to common questions, enhancing access to key information, easing staff workload, and improving the overall user experience.
Author: Sahil Baviskar
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4404504889