Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM42290
Volume:
9 |
3 |
Mar 2025
Pages:
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.
A chatbot is an intelligent conversational agent that utilizes artificial intelligence (AI) and natural language processing (NLP) techniques to engage with users in a human-like manner. This project focuses on developing a chatbot service for college interactions that harnesses deep learning techniques to offer users personalized assistance, recommendations, and real-time updates. This development of a chatbot serves for Adhiyamaan college of Engineering Hosur . aimed at addressing enquiries related to the college. The chatbot provides users with the convenience of querying various aspects of the college, such as course offerings, time schedules, academic details, and address information. It employs a Feedforward Neural Network (FNN) as its underlying deep learning algorithm, trained on a dataset structured with tags, patterns, and reasons .The chatbot is designed to seamlessly handle text queries from users. Users can interact with the chatbot using natural language, receiving responses in both text and voice formats, enhancing accessibility and user experience. This integration of text and voice responses enables users to engage with the chatbot in a manner most comfortable for them .Through its intuitive interface and robust backend architecture, the chatbot serves as a valuable resource for students, faculty, and other stakeholders associated with Adhiyamaan college of Engineering Hosur , facilitating quick access to relevant information and enhancing communication within the college community.The chatbot employs deep learning algorithms, specifically a Multi-Layer Perceptron (MLP), which is a type of Feedforward Neural Network (FNN) with at least one hidden layer between the input and output layers.
KEYWORDS
Publication Date
11/2/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
0
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...