Nageshbansal / IotChatbot

IoTChatbot

Abstract

It is a chatbot which integrates with Iot Devices(home appliances) and show their live status , give commands to change status.

Networking

Creation of IoT Network Using MQTT (Message Queuing Telemetry Transport)

• Adding multiple client requires threading and has overhead if we havemany IoT applications.So, we used MQTT protocol which is suitable for IoT network.
• We used Paho MQTT module in python library to create clients(sensors and IoT devices).They continuously send their data to their respective topic to the broker in small time intervals.
• This data is then received by flask server which acts as subscriber in this case. MQTT has been implemented in flask with the help of flask-mqtt module in python.

Chatbot

• We used Flask-python Framework for creating Chatbot and Dashboard
• We also added auth login system for security measures
• Sqlite3 act as an database in backend
• Microsoft Azure App services act as Cloud based hosting platform

WORKFLOW

IoT-chatbot Architecture

Limitation

• Currently our broker/server can handle upto 8 clients/Iot devices

Future Improvments :

• ML model for better User expreince and which can give best suggestions to user by analysing previous user input.
• More clients can be connected
• Raspberry Pi and Sensors usage so that we can deal with realtime data.

Installation

By Using Hosted Website

• Download the all files from folder sensors

• Install Python

• Install Paho-mqtt

  pip install paho-mqtt
  

• Run each files in a seperate terminal

  python pub_temp.py
  python pub_humidity.py
  python pub_fan.py
  python pub_light.py
  

• Open the link IotChatbot

• Use following credentials

  Username: test
  Password : 1234 
  

By Using Local Host

• Downlaod the code as a zip file or clone the repo By using following command in git bash

   git clone https://github.com/Nageshbansal/IotChatbot.git
  

• create venv (optional)

• Install required python-packages

    pip install -r requirements.txt
  

• Go to Iotchatbot directory in command line and run flask app

  python app.py
  

• Go to sensors directory and Run each files in a seperate terminal

  python pub_temp.py
  python pub_humidity.py
  python pub_fan.py
  python pub_light.py
  

• Open the link in browser

    http://127.0.0.1:5000/
  

• Use following credentials

  Username: test
  Password : 1234 
  

TEAM MEMBERS

1. Vaishnavi Gupta
2. Nagesh Bansal
3. Khushi Kumavat
4. Kushagra Agarwal

MENTORS

1. Sanjeev Krishnan R.
2. Pradnesh Chavan