Smart discord chatbot integrated with Dialogflow to manage different classrooms and assist in teaching!

Overview

smart-school-chatbot

Intro

Smart discord chatbot integrated with Dialogflow to interact with students naturally and manage different classes in a school.

Description

As an effort to manage different classrooms, this smart chatbot is created so students can interact with it on Discord naturally and get things done without TAs or instructors' help.

This chatbot is named Bu, a real name of a dog living in CoderSchool.

Here are what Bu can do:

  • Bu can check your attendance by greeting it.
  • Bu can give important links (material links, zoom link, score dashboard,...)
  • Bu can cheers you up when you are sad :((
  • Bu can tell you jokes to make you smile :))
  • Bu can clear up its own messages.
  • Bu can show who is missing in the class or not yet check their attendance.
  • Bu can answer common questions about CoderSchool (opening hours, who is CEO, best instructor, TA,...)
  • Bu can do small talks to you :))
  • Bu can introduce a bit about itself.
  • Bu can choose what kind of food you should have for lunch or dinner if you are indecisive.
  • Bu can give points to you (Can only be done by TAs/Instructors).

Getting Started

Requirements & Dependencies

  • All the library requirements can be installed through requirements.txt.
pip install -r requirements.txt
  • Make sure you have your own discord details in .env file.
DISCORD_TOKEN={BOT DISCORD TOKEN}
DISCORD_GUILD={GUILD NAME}
COHORT_METADATA={METADATA SPREADSHEET ID}
BOT_NAME={BOT NAME}
STUDENT_SCORING={STUDENT SCORING SPREADSHEET ID}
  • Your Google Service Account credentials in the credentials.json and dialogflow_bot.json.

Workflow

Workflow

This chatbot is running 24/7 to answer questions from students so I choose to host it for free on replit.com and have uptimerobot.com to ping the server every 5 minute to prevent it from shutting down on replit.

Usage

Here are some real examples during the lectures of the chatbot in action where students just talk to it naturally like to a real TA, where its answers are unique and different everytime:

  • Ask what it can do

Help

  • Ask who it is

Who are you?

  • Ask who is the creator of it

Father

  • It can automatically check students' attendance to the system by just greeting to it and it will reply in a funny way

Check attendance 1

Check attendance 2

Check attendance 3

  • It can award students who are active in the class

Give score

As you can see, the bot will automatically log in students' performances like attendance, activities and more. Students can check out their scores and ranking anytime on the Google Data Studio dashboard.

dashboard

  • It can answer some common questions about the course or the company

opening hours

  • It can show relevant links of the course which students ask for

Links

  • It can cheer up students if they are are sad or struggled

Sad cheer up

  • It can tell different jokes

Joke 1

Joke 2

Joke 3

  • It can pick a meal for you if you are indecisive what to have for lunch or dinner (A lot of students request for this feature!)

Meal choice

Acknowledgments

Some useful documents are:

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Owner
Tom Huynh
A Machine Learning Scientist and Engineer!
Tom Huynh
Korean Simple Contrastive Learning of Sentence Embeddings using SKT KoBERT and kakaobrain KorNLU dataset

KoSimCSE Korean Simple Contrastive Learning of Sentence Embeddings implementation using pytorch SimCSE Installation git clone https://github.com/BM-K/

34 Nov 24, 2022
A CRM department in a local bank works on classify their lost customers with their past datas. So they want predict with these method that average loss balance and passive duration for future.

Rule-Based-Classification-in-a-Banking-Case. A CRM department in a local bank works on classify their lost customers with their past datas. So they wa

ÖMER YILDIZ 4 Mar 20, 2022
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

GPT2-Pytorch with Text-Generator Better Language Models and Their Implications Our model, called GPT-2 (a successor to GPT), was trained simply to pre

Tae-Hwan Jung 775 Jan 08, 2023
StarGAN - Official PyTorch Implementation

StarGAN - Official PyTorch Implementation ***** New: StarGAN v2 is available at https://github.com/clovaai/stargan-v2 ***** This repository provides t

Yunjey Choi 5.1k Dec 30, 2022
PocketSphinx is a lightweight speech recognition engine, specifically tuned for handheld and mobile devices, though it works equally well on the desktop

molten A minimal, extensible, fast and productive API framework for Python 3. Changelog: https://moltenframework.com/changelog.html Community: https:/

3.2k Dec 28, 2022
Black for Python docstrings and reStructuredText (rst).

Style-Doc Style-Doc is Black for Python docstrings and reStructuredText (rst). It can be used to format docstrings (Google docstring format) in Python

Telekom Open Source Software 13 Oct 24, 2022
Anomaly Detection 이상치 탐지 전처리 모듈

Anomaly Detection 시계열 데이터에 대한 이상치 탐지 1. Kernel Density Estimation을 활용한 이상치 탐지 train_data_path와 test_data_path에 존재하는 시점 정보를 포함하고 있는 csv 형태의 train data와

CLUST-consortium 43 Nov 28, 2022
LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating

LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating (Dataset) The dataset is from Amazon Review Data (2018)

Immanuvel Prathap S 1 Jan 16, 2022
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

English|简体中文 ERNIE是百度开创性提出的基于知识增强的持续学习语义理解框架,该框架将大数据预训练与多源丰富知识相结合,通过持续学习技术,不断吸收海量文本数据中词汇、结构、语义等方面的知识,实现模型效果不断进化。ERNIE在累积 40 余个典型 NLP 任务取得 SOTA 效果,并在 G

5.4k Jan 03, 2023
Code of paper: A Recurrent Vision-and-Language BERT for Navigation

Recurrent VLN-BERT Code of the Recurrent-VLN-BERT paper: A Recurrent Vision-and-Language BERT for Navigation Yicong Hong, Qi Wu, Yuankai Qi, Cristian

YicongHong 109 Dec 21, 2022
This Project is based on NLTK It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its antonyms, its synonyms

This Project is based on NLTK(Natural Language Toolkit) It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its

SaiVenkatDhulipudi 2 Nov 17, 2021
This repository details the steps in creating a Part of Speech tagger using Trigram Hidden Markov Models and the Viterbi Algorithm without using external libraries.

POS-Tagger This repository details the creation of a Part-of-Speech tagger using Trigram Hidden Markov Models to predict word tags in a word sequence.

Raihan Ahmed 1 Dec 09, 2021
Stanford CoreNLP provides a set of natural language analysis tools written in Java

Stanford CoreNLP Stanford CoreNLP provides a set of natural language analysis tools written in Java. It can take raw human language text input and giv

Stanford NLP 8.8k Jan 07, 2023
使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征,提升下游任务的表现。

Pretrain_Bert_with_MaskLM Info 使用Mask LM预训练任务来预训练Bert模型。 基于pytorch框架,训练关于垂直领域语料的预训练语言模型,目的是提升下游任务的表现。 Pretraining Task Mask Language Model,简称Mask LM,即

Desmond Ng 24 Dec 10, 2022
LightSeq: A High-Performance Inference Library for Sequence Processing and Generation

LightSeq is a high performance inference library for sequence processing and generation implemented in CUDA. It enables highly efficient computation of modern NLP models such as BERT, GPT2, Transform

Bytedance Inc. 2.5k Jan 03, 2023
自然言語で書かれた時間情報表現を抽出/規格化するルールベースの解析器

ja-timex 自然言語で書かれた時間情報表現を抽出/規格化するルールベースの解析器 概要 ja-timex は、現代日本語で書かれた自然文に含まれる時間情報表現を抽出しTIMEX3と呼ばれるアノテーション仕様に変換することで、プログラムが利用できるような形に規格化するルールベースの解析器です。

Yuki Okuda 116 Nov 09, 2022
Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

2017 VQA Challenge Winner (CVPR'17 Workshop) pytorch implementation of Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challeng

Mark Dong 166 Dec 11, 2022
Stack based programming language that compiles to x86_64 assembly or can alternatively be interpreted in Python

lang lang is a simple stack based programming language written in Python. It can

Christoffer Aakre 1 May 30, 2022
What are the best Systems? New Perspectives on NLP Benchmarking

What are the best Systems? New Perspectives on NLP Benchmarking In Machine Learning, a benchmark refers to an ensemble of datasets associated with one

Pierre Colombo 12 Nov 03, 2022
Conversational-AI-ChatBot - Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users!

Conversational AI ChatBot Intelligent ChatBot built with Microsoft's DialoGPT transformer to make conversations with human users! In this project? Thi

Rajkumar Lakshmanamoorthy 6 Nov 30, 2022