Category: IBM Watson Tone Analyzer Projects

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Smart Agriculture System Project on IBM IOT platform using NodeRed framework

Project Scope

We need to follow these steps to complete our Smart Agriculture System Project:

  • Project Planning and Kickoff
  • Explore the IBM Cloud Platform
  • Connect the IoT Simulator To the Watson IOT Platform
  • Configure the Node-red to Get the Data From the IBM IoT Platform And Open Weather API
  • Building A Web App
  • Configure Your Device to Receive The Data From The Web Application And Control Your Motors

Our Project’s main aim is to help farmers to control their motors from home. He/ She can On and Off his motor by using his mobile phone.
By using Weather API he can know the weather conditions like temperature, humidity, and soil moisture.

Project Background:

  • This Smart Agriculture System Project mainly aims to help the farmers to ease their work.
  • Farmers can get real-time weather conditions by using smart agriculture.
  • Instead of physical devices we create devices in the IBM IoT platform and use them in our project.
  • We connect our device to the IBM node in the NodeRed framework.
  • We need to create a Weather API account to configure the weather API Platform.
  • We then Configure our Node-red to get the weather forecasting data using HTTP requests.

Project Schedule:

  • Project Planning and Kickoff
  • Explore IBM Cloud Platform
  • Connect The IoT Simulator To the Watson IOT Platform
  • Configure The Node-red To Get The Data From IBM IOT Platform And Open Weather API
  • Building A Web App
  • Configure Your Device To Receive The Data From The Web Application And Control Your Motors

Project Requirements:

  • IBM Cloud Account and IBM Watson IOT Platform to create device and sensor
  • Python IDE
  • Node-Red
  • Open weather API Platform

Functional Requirements:

  • Measure Temperature.
  • Gauge Temperature.
  • Gauge Humidity.
  • Gauge Pressure.
  • Weather API.
  • Display the sensor readings using the Watson IOT sensor.
  • Respond to sensor readings and send alerts to the user.

Technical Requirements:

IoT Simulator

Software Requirements:

  • Python
  • Node-Red
  • IBM Watson IOT Platform
  • Open Weather API

Project Deliverables:

A Smart Agriculture System web App for farmers where he can:

• Monitor temperature, humidity, and Soil moisture along with weather forecasting details.
• Control motor for watering the crop through the web app from where he was.

THEORETICAL ANALYSIS

  • Required Software Installation
  • Node-Red

Installation:

  • First, install the Node
  • open command prompt
  • Type ->npm install node-red

To Run the application:

  • open command prompt
  • And then type “node-red”
  • Now open http://localhost:1880/ in the browser

Installation of IBM IOT nodes and Dashboard nodes for Node-Red

  • In order to connect to the IBM Watson IOT platform and create the web UI, these nodes are required
  1. IBM IoT Node
  2. Dash Board Node

IBM Watson IOT Platform

  • Steps To Configure:
  • Create an account in the IBM cloud using your email ID
  • Create IBM Watson Platform in services in your IBM cloud account
  • Launch the IBM Watson lot Platform
  • Create a new device
  • Give credentials like device type, device ID, Token
  • Create API key and store API key and token elsewhere

Python IDE

  • Install python 3 Compiler
  • I Installed PyCharm Community Edition 2020

IoT Simulator

 In our project in the place of sensors, we are going to use a lot sensor simulator which gives random readings to the connected

OpenWeather API

Building Project

Connecting IoT Simulator to IBM Watson IOT Platform

  • Open link Provided in section 4
  • Give the credentials of your device in IBM Watson IoT
  • Click on Connect
  • My credentials given to the simulator are:
  • Organization ID:ka1gns
  • Device Type:nodemcu
  • Device ID:1234five6789
  • Authentication Method:use-token-auth
  • Authentication Token:*********
  • You, Will, receive the simulator data in the cloud
  • You can see the received data in Recent events
  • Data is received in this format (JSON)
  • You can see the received data in cards by creating cards on Boards Tab

4.2    Configuration of Node-Red to collect IBM Cloud Data

  • The Node-Red IBM IoT App is added in Node-Red Work The appropriate device credentials obtained earlier are entered into the node to connect and fetch the device to Node-Red
  • Once it is connected Node-Red receives data from the device
  • Display the data using debug node for

Configuration of Node-Red to collect data from Open weather API

  • The Node-Red also receives data from the OpenWeather API by HTTP GET request. An inject trigger is added to perform HTTP requests for every certain
  • The data we receive from OpenWeather after the request is in JSON format

Configuration of Node-Red to send commands to IBM Cloud

  • By using IBM IoT out Node I used to send data from Node-Red to IBM Watson So, after adding it to flow we need to configure it with the credentials of our Watson device.

Adjusting UserInterface

  • By connecting all the flows shown above
  • We can display our UI by clicking on the dashboard tab in Node-red
  • On the above page, we can display the sensor data and motor
  • On this page, we open weather API data is displayed
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Intelligent Customer Help Desk with Smart Document Understanding

INTRODUCTION

Overview

We will be designing an application that leverages multiple Watson Airservices (Discovery, Assistant, Cloud function, and Node Red). By the end of the project, we’ll learn best practices of combining Watson services, and how they can be used to build interactive information retrieval systems with

Discovery + Assistant.

  • Project Requirements: Python, IBM Cloud, IBM Watson
  • Functional Requirements: IBM Cloud
  • Technical Requirements: AI, ML, WATSON AI, PYTHON
  • Software Requirements: Watson assistant, Watson

Scope of Work

  • Create a customer care dialog skill in Watson Assistant
  • Use Smart Document Understanding to build an enhanced Watson Discovery collection
  • Create an IBM Cloud Functions web action that allows Watson Assistant to post queries to Watson Discovery

Proposed solution

For the above problem, we are able to put a virtual agent in the chatbot so it can understand the queries that are posted by customers. The virtual agent should train from some insight records-based company background so it can answer queries supported by the merchandise or associated with the company. In other words, some styles of manual will be accustomed to training the bot using AI. Here I’m using Watson Discovery as a tool for implementing AI and getting trained by the owner’s manual.

THEORETICAL ANALYSIS

Block/Flow Diagram

Hardware / Software Designing

  1. Create IBM Cloud services
  2. Configure Watson Discovery
  3. Create IBM Cloud Functions action
  4. Configure Watson Assistant
  5. Create flow and configure the node
  6. Deploy and run Node-Red app

EXPERIMENTAL INVESTIGATIONS

Create IBM Cloud services

Create the following services:

  • Watson Discovery
  • Watson Assistant
  • IBM cloud function
  • Node-Red

Advantages

  • Companies can deploy chatbots to rectify simple and general human queries.
  • Reduces manpower
  • Cost efficient
  • No need to divert calls to customer agents and customer agents can look at other

Disadvantages:

  • Sometimes chatbots can mislead customers
  • Giving the same answer for different sentiments.
  • Sometimes cannot connect to customer sentiments and intentions

APPLICATIONS

  • It can deploy in popular social media applications like Facebook, slack, and telegram.
  • A chatbot can deploy any website to clarify basic doubts of viewer

CONCLUSION

By doing the above procedure and all we successfully created an Intelligent help desk smart chatbot using Watson assistant, Watson discovery,

Node-RED and cloud functions.

FUTURE SCOPE

We can include Watson studio text-to-speech and speech-to-text services to access the chatbot hands-free. This is one of the future scopes of this project.

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Development of Online Shopping Bot using IBM Watson

Introduction

Overview

Online shopping plays a great role in the modern business environment. The best option available for customers in pandemic situations is to use chatbots for online shopping. To support customers in a better way, online shopping bot has opened a door of opportunity and advantage to the firms and customers for having a feel of buying items in a better way. The bot helps to introduce the online shop by listing the items available; it also shows the price of the items and takes orders from the customer. If the customer wishes to see the items, the bot also provides images of the items. This facility ensures the customer sees the products live and gives requests to buy items.

Block Diagram:

Flow Chart Diagram:

Purpose

The online shop bot can help the customer to see the list of items available, images of the images, and the price of the items, and also accepts orders for the items. The purpose of this bot is to save valuable time and money on travel.

  • Literature Survey

In this section, we will discuss the existing solutions available for online shopping and the proposed solution to overcome the limitations.

  • Existing Problems and Solutions

In the past decade, people use the internet as a daily service to access emails, perform online tasks, do shopping, etc. Naturally, people have widely started using the internet at shopper stops too. This showed their willingness to do online shopping. This brings huge responsibility to the shop owners to keep up the buyer’s faith in the particular website. The most important points that affect the customer attitude towards online shopping are customer convenience, collection of information, social contact, and customer diversity.

There are several websites available currently to handle online shopping like Amazon, Flipkart, Big Bazaar, etc. Kotler, (2003) has described the Customer buying method in several sequential steps namely learning, information processing, information searching, evaluating the alternatives, decision making, and post-purchase behavior. When using such websites usability and trust also play a major role and these issues to be handled carefully. With all these facilities available, still we could find some gaps in existing website-based online shopping solutions where the user has limited freedom to communicate or ask doubts regarding items and get a feel of having a discussion with shoppers. This limitation can be overcome by using chatbots for online shopping.

  • Proposed Solution

In recent years, many organizations have shown tremendous interest in developing chatbots for online shopping. These chatbots help customers to handle their queries and to provide information on any kind of items requested. The willingness of the customers to use shopping bots also increased enormously due to the interest in shopping using the internet in pandemic times.

Theoretical Analysis

  • Block diagram
  • Hardware /software requirements
  • Processor: Intel i5
  • Memory: 16GB
  • System Type: 64 Bit Operating system
  • IBM Watson Assistant
  • Node-RED UI Generator

Experimental Investigations

The online shopping bot is developed using IBM Watson. The intents, entities, and context variables are generated, and the JSON file can be downloaded.

Advantages and Disadvantages

  1. An online shopping bot helps to see the list of items available for purchase.
  2. The shopping bot provides the details of the items requested by giving its image and cost.
  3. The shopping bot accepts the mail id to send the order receipt.
  4. The shopping bot accepts the order by asking the item, quantity, and mode of
  5. The shopping bot is interactive.
  6. The shopping bot is simple.
  7. The shopping bot is Usable.
  8. The shopping bot is a user
  9. The shopping bot is available 24/7
  10. The shopping bot is reliable.

Disadvantages

  1. The shopping bot is currently not accepting addresses in the chatbot.
  1. After receiving the receipt, the other interface like email to be used to share the address with the shopper.

Applications

The online shopping bot can be used for advertisement, recommendation, and taking orders from the customer when the customer is living in a chatbot with the shopper.

Conclusion

The online shopping bot is the most useful feature for online shoppers to have a satisfying purchase. With all the possible features embedded in bot it can help the customer to have a successful and satisfactory shopping with less money and time.

Future Scope

  1. The shopping bot can be extended to get reviews
  2. The shopping bot can be added with features like showing offers.
  3. The shopping bot can give recommendations by showing the associated items
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Employee Work Appreciation based on Customers Feedback Project using IBM Cognitive Services

PURPOSE OF THE PROJECT

The purpose of the Employee Work Appreciation based on Customers Feedback project is to appreciate the employee’s work based on the feedback given by the customers and the employees. The feedback given by the customers to a respective employee is analyzed i.e. is it polite feedback/satisfied feedback…etc. Based on that, employees will be given appreciation.

Block Diagram:

Block Diagram

Flow Chart Diagram:

Flow Chart Diagram

HARDWARE/SOFTWARE SOLUTION

1. IBM Cloud
2. IBM Watson Tone Analyzer
3. Node-RED
4. Create an employee database in the IBM cloud and upload sample 4 employees feedback JSON files.

EXPERIMENTAL INVESTIGATION

1. Choose a Project Idea:

Employee Work Appreciation based on Customers Feedback.

2. Conduct Background Research
3. Compose a Hypothesis:
Based on our Study and the information gathered we can decide how well an employee is appreciable.
4. Design your Experiment:
First, we need to collect employee reports in which feedback is given by the customers.
Next, we give those reports as input to the Tone analyzer service which predicts the emotion behind the feedback.
5. Draw Conclusions:
After Building our model, we can able to know how well the employee is working and appreciate the employee’s work based on analysis of customer feedback.

Result Screenshots:

Sentiment Analysis:

Sentiment Analysis

Cloudant Dashboard
APPLICATIONS

This Employee Work Appreciation application is used for deciding whether the employee’s work is up to the mark or not.

This system can also be used for employees to check whether they receiving good or bad feedback from customers so that they will improve their work.

Node-RED Flow:

Node-RED Flow

IBM Cloud databases

Input employee reports stored in the employee database

IBM Cloud databases
Output sentiment by tone analyzer stored in sentiment database.