kaiwa

Chatbot to answer queries for future freshers of IIT Mandi

Team Members:

Shruti Jain(B20136)
B Keerthi(B18049)
CHVSN Medha(B18051)
Rashika Rathi(B18081)

Watch the project video by clicking at the link: Video

Prerequisites

we used some modules which you can download using the python-pip command.
pip install tensorflow, keras, pickle, nltk

Instructions for setup and running the chatbot

To run the chatbot, we have two main files:

1. train_chatbot.py, and
2. bot.py

First, we train the model using the command in the terminal:
python train_chatbot.py

If we don’t see any error during training, we have successfully created the model. Then to run it, we run the second file.
python bot.py

The Dataset

The dataset we will be using is ‘intents.json’. This is a JSON file that contains the patterns we need to find and the responses we want to return to the user.

File structure and the type of files we created:

Intents.json – The data file which has predefined patterns and responses.
train_chatbot.py – In this Python file, we wrote a script to build the model and train our chatbot.
Words.pkl – This is a pickle file in which we store the words Python object that contains a list of our vocabulary.
Classes.pkl – The classes pickle file contains the list of categories.
Chatbot_model.h5 – This is the trained model that contains information about the model and has weights of the neurons.
bot.py – This is the Python script in which we implemented our telegram chatbot. Users can easily interact with the bot.

Features: It covers almost all the domains extensively which can be asked by a fresher willing to join IIT Mandi.