Mobile-app-based assistant for freshmen with telegram APIs

In this project, the development of the Telegram-based chatbot, “Hey! NTU” bot, aims to provide readily available online support and resource for NTU freshmen. Apart from guiding freshmen to essential and relevant information with its Natural Language Processing (NLP) query response capabilities, th...

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Main Author: Foo, Kai Lin
Other Authors: Jong Ching Chuen
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150124
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1501242023-07-07T18:17:31Z Mobile-app-based assistant for freshmen with telegram APIs Foo, Kai Lin Jong Ching Chuen School of Electrical and Electronic Engineering ECCJONG@ntu.edu.sg Engineering::Electrical and electronic engineering In this project, the development of the Telegram-based chatbot, “Hey! NTU” bot, aims to provide readily available online support and resource for NTU freshmen. Apart from guiding freshmen to essential and relevant information with its Natural Language Processing (NLP) query response capabilities, the chatbot also allows students to plan and check their academic schedules so that they do not forget any important events. Other useful tools that make daily school life easier are incorporated to provide further assistance. These tools include a to-do list, a calculator, and a timer function. When chatting with the bot, students can expect conventional replies like how a conversation would flow. This all-in-one interactive chatbot helps make freshmen’s transition to NTU smooth sailing. This final year project report details the research, design and development process of the features implemented in the “Hey! NTU” chatbot. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-12T08:19:38Z 2021-06-12T08:19:38Z 2021 Final Year Project (FYP) Foo, K. L. (2021). Mobile-app-based assistant for freshmen with telegram APIs. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150124 https://hdl.handle.net/10356/150124 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Foo, Kai Lin
Mobile-app-based assistant for freshmen with telegram APIs
description In this project, the development of the Telegram-based chatbot, “Hey! NTU” bot, aims to provide readily available online support and resource for NTU freshmen. Apart from guiding freshmen to essential and relevant information with its Natural Language Processing (NLP) query response capabilities, the chatbot also allows students to plan and check their academic schedules so that they do not forget any important events. Other useful tools that make daily school life easier are incorporated to provide further assistance. These tools include a to-do list, a calculator, and a timer function. When chatting with the bot, students can expect conventional replies like how a conversation would flow. This all-in-one interactive chatbot helps make freshmen’s transition to NTU smooth sailing. This final year project report details the research, design and development process of the features implemented in the “Hey! NTU” chatbot.
author2 Jong Ching Chuen
author_facet Jong Ching Chuen
Foo, Kai Lin
format Final Year Project
author Foo, Kai Lin
author_sort Foo, Kai Lin
title Mobile-app-based assistant for freshmen with telegram APIs
title_short Mobile-app-based assistant for freshmen with telegram APIs
title_full Mobile-app-based assistant for freshmen with telegram APIs
title_fullStr Mobile-app-based assistant for freshmen with telegram APIs
title_full_unstemmed Mobile-app-based assistant for freshmen with telegram APIs
title_sort mobile-app-based assistant for freshmen with telegram apis
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/150124
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