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Volume 9 | Issue 6 |

Volume 9 | Issue 6 | Month  
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  Paper Title: THE JOURNEY OF POLITICAL REBEL RETURNEES: THEIR DIARIES

  Author Name(s): Lemuel C. Edrolin

  Published Paper ID: - IJCRT2106530

  Register Paper ID - 208442

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106530 and DOI :

  Author Country : Foreign Author, Phillipines, 9000 , Cagayan de Oro City, 9000 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106530
Published Paper PDF: download.php?file=IJCRT2106530
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106530.pdf

  Your Paper Publication Details:

  Title: THE JOURNEY OF POLITICAL REBEL RETURNEES: THEIR DIARIES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Social Science All

 Author type: Foreign Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e508-e611

 Year: June 2021

 Downloads: 1144

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Keywords: criminal justice, political offenders, enhanced comprehensive local integration program, qualitative design, Philippines

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  Paper Title: INTEGRATED FARMING SYSTEM USING ML ALGORITHMS

  Author Name(s): Rahul Mahurkar, Pankaj Chopade, Omkar Kudile, Santosh Sharma, Sharad Adsure

  Published Paper ID: - IJCRT2106529

  Register Paper ID - 209011

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106529 and DOI :

  Author Country : Indian Author, India, 425503 , Jalgaon, 425503 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106529
Published Paper PDF: download.php?file=IJCRT2106529
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106529.pdf

  Your Paper Publication Details:

  Title: INTEGRATED FARMING SYSTEM USING ML ALGORITHMS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e503-e507

 Year: June 2021

 Downloads: 1044

  E-ISSN Number: 2320-2882

 Abstract

As we know about the way that, the greater part of Indians have farming as their occupation. Farmers as a rule have the attitude of planting a similar harvest, utilizing more manures and following the public decision. By taking a gander at the previous few years, there have been huge advancements in how machine learning can be utilized in different ventures and exploration. So we have wanted to make a framework where AI can be utilized in agribusiness for the improvement of Farmers. The overviewed research papers have given a harsh thought regarding utilizing ML with just one trait. We have the point of adding more characteristics to our framework and improve the outcomes, which can improve the yields and we can perceive a few examples for expectations. This framework will be valuable to legitimize which harvest can be filled in a specific locale


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 Keywords

Farming, Recommendation System, Machine Learning

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  Paper Title: COTTON LEAF DISEASE DETECTION USING CNN

  Author Name(s): Varun Suryawanshi, Yash Bhamare, Komal Chaudhary, Rahul Badgujar, Bhushan Nandwalkar

  Published Paper ID: - IJCRT2106528

  Register Paper ID - 208733

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106528 and DOI :

  Author Country : Indian Author, India, 424002 , Dhule, 424002 , | Research Area: Biological Science

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106528
Published Paper PDF: download.php?file=IJCRT2106528
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106528.pdf

  Your Paper Publication Details:

  Title: COTTON LEAF DISEASE DETECTION USING CNN

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Biological Science

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e497-e502

 Year: June 2021

 Downloads: 1171

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Convolution Neural Network, Keras, Tenserflow, MATLAB

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: AUTOMATED HR MANAGEMENT SYSTEM USING SELENIUM WEBDRIVER AND PYTHON

  Author Name(s): Shivani Bhavsar, Preeti Mandge, Srushti Patel, Mrunal Nikumbe, Akash Koli

  Published Paper ID: - IJCRT2106527

  Register Paper ID - 209024

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106527 and DOI :

  Author Country : Indian Author, India, 425409 , Shahada, 425409 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106527
Published Paper PDF: download.php?file=IJCRT2106527
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106527.pdf

  Your Paper Publication Details:

  Title: AUTOMATED HR MANAGEMENT SYSTEM USING SELENIUM WEBDRIVER AND PYTHON

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e492-e496

 Year: June 2021

 Downloads: 1103

  E-ISSN Number: 2320-2882

 Abstract

The process of automatically performing operations on a web browser is called Web Browser Automation. In this study Human Resource Database Management System is automated using Selenium WebDriver. WebDriver is an API which has functions to control Browser. One can use the functions in writing a script that controls the elements of a browser in the way they want. Python language is selected for writing the scripts. Django and MySQL database is selected for the development of Human Resource Database Management System. In corporate offices the work an employee has to perform on his desk that involves web base applications which is repetitive, tedious and time consuming process. This work is being reduced using automation tool Selenium WebDriver.


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 Keywords

Web Automation, Selenium, WebDriver

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: REVIEW ON GREEN SYNTHESIS OF SILVER NANO PARTICLES, CHARACTERIZATION AND ENVIRONMENTAL REMEDIATION AND BIOACTIVITIES APPLICATIONS

  Author Name(s): Mengistu Mulu Ayele, Ramadevi, Dharmasoth, Basavaiah, Keloth

  Published Paper ID: - IJCRT2106526

  Register Paper ID - 208972

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106526 and DOI : http://doi.one/10.1729/Journal.27336

  Author Country : Indian Author, India, 530003 , Visakahaptanam, 530003 , | Research Area: Chemistry All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106526
Published Paper PDF: download.php?file=IJCRT2106526
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106526.pdf

  Your Paper Publication Details:

  Title: REVIEW ON GREEN SYNTHESIS OF SILVER NANO PARTICLES, CHARACTERIZATION AND ENVIRONMENTAL REMEDIATION AND BIOACTIVITIES APPLICATIONS

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.27336

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Chemistry All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e481-e491

 Year: June 2021

 Downloads: 1056

  E-ISSN Number: 2320-2882

 Abstract

Silver has long been thought to be a toxic, yet nontoxic, inorganic antibacterial/antifungal metal. Biocidal nanoparticles are the most prevalent form. Silver, specially existed as nanoparticles, offers promise in a varity means of environmental rehabilitation activities by having created environmental degradation. Environmentally friendly tecnique methods are becoming more common in Nanotechnology in terms of fabrications, and the interest for green synthesis methods is expanding, with the aim of treating polluting reaction by-products. These procedures are also cost-effective and have a plentiful supply of raw materials. Researchers looked into its expansion, particularly in terms of synthesis procedures. The production of nanoparticles from silver is currently attracting considerable interest due to its unique properties, architectures, and uses in numerous industries. Alternatively, as a result of additional development, physical, chemical, and other methods for the creation of silver nanoparticles have all been recorded. However, the nanoparticles created using these processes are both expensive and harmful to the environment. Various elements, including as synthesis processes, temperature, dispersing agent, surfactant, and others, all have an impact on the quality and quantity of nanoparticles generated, as well as their qualities, which may lose or gain their primary applications. It's also worth noting that the primary goal for these silver nanoparticles was to synthesis them in a simple, ecologically friendly, and cost-effective method. As a result, this review focuses on the various methods for making green nanoparticles that are both environmentally friendly and simple to make at a low cost. We'll also go over some of the key characteristics that could lead to the newly developed nano particles being effective in a range of applications, such as antibacterial, antifungal, anti-inflammatory, antiviral, cardiac protection, wound dressing, and so on.


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 Keywords

Antibacterial activity, Antifungal activity, Anti-in?ammatory activity, Antiviral activity, Cardio protection, Wound dressing and Environmental Remediation

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: QUESTIONNAIRE-BASED SURVEY ON COVID-19 VACCINATION AMONG HEALTHCARE STUDENTS AND WORKERS.

  Author Name(s): Sandeep Chandakavate, Sharanagoud Biradar, Shraddha desai, Prashant prajapati, Tilagsundari

  Published Paper ID: - IJCRT2106525

  Register Paper ID - 209022

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106525 and DOI :

  Author Country : Indian Author, India, 586128 , VIJAYAPUR, 586128 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106525
Published Paper PDF: download.php?file=IJCRT2106525
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106525.pdf

  Your Paper Publication Details:

  Title: QUESTIONNAIRE-BASED SURVEY ON COVID-19 VACCINATION AMONG HEALTHCARE STUDENTS AND WORKERS.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Pharmacy All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e475-e480

 Year: June 2021

 Downloads: 1060

  E-ISSN Number: 2320-2882

 Abstract

Objective: The objective of the study was to assess percentage of vaccine taken and type of vaccine, symptoms appeared due to vaccine of frontline health workers. Methods: the study questionnaire is totally comprised 10 questions which are related to vaccination types and symptoms appeared. The study questionnaire surveyed through Google form and the link was kept open excess for 20 days (10 may 2021 to 30 may 2021). All data was collected and presented using Microsoft excels 2007. The healthcare professionals requested to attempt all questionnaires. Results: totally we got 540 responses, in which 412 are vaccinated in that 72.9% are 18-45 age groups and 27.1% are above 45+ age group get vaccinated. 77.1% and 22.9% get vaccinated the covishild and covacxin respectively. 64.6% are taken 1st dose and 33.3% taken both doses. 50% of health workers not get any symptoms, 43.8% are get body pain(injected site), 25% suffered from fever and 8.3%, 4.2% and 2.1% suffered symptoms of giddiness, shivering, vomiting & headache respectively. In 128 response 82.8% lack of vaccine availability and 20.7% not taken due to side effect and fear. Conclusion: from the above survey most responders get vaccinated with covishild and 1st dose received. Out of all response study 50% not felt any symptoms and they are healthy. Based on study most common symptoms appended body pain and fever. Those not get vaccine are interested to receive vaccine and they may be due to lack of supply not get vaccine till now.


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 Keywords

vaccine, Google form, symptoms, age

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  Paper Title: AIR POLLUTION HOTSPOT DETECTION AND IDENTIFYING SOURCE TRAJECTORIES USING IOT

  Author Name(s): K. David Raju, K. Samuel Jayasheel, R. Mahesh Rao, G. Hima Bindu

  Published Paper ID: - IJCRT2106524

  Register Paper ID - 208997

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106524 and DOI :

  Author Country : Indian Author, India, 500090 , Hyderabad, 500090 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106524
Published Paper PDF: download.php?file=IJCRT2106524
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106524.pdf

  Your Paper Publication Details:

  Title: AIR POLLUTION HOTSPOT DETECTION AND IDENTIFYING SOURCE TRAJECTORIES USING IOT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e471-e474

 Year: June 2021

 Downloads: 1046

  E-ISSN Number: 2320-2882

 Abstract

Currently, air pollution is a problem around the globe. India also has been agonized by this problem since ages. Earlier the government had signed COP21 agreement for shedding the carbon emissions 2025 onwards. In this regard, research has been done to identify the pollution hotspots, namely, carbon monoxide (CO) sulfur dioxide (SO2) and nitrogen oxides (NO+NO2), with the help of advanced data analysis techniques. The satellite data is provided by a histogram of the concentration of impurities, which is 90% of the surface area of focus. The sources of pollution particularly are related to the activities on the surface of the Earth. Satellite offers observations every day with a different spatial resolution. Of the jobs that explain how to extract data from the settings of the various parameters, satellites provide the ultimate results and a moderate spatial resolution, on the basis of the pollution information. Therefore, the information below will be useful for the analysis of the changes traced. The identification through the native methods are as follows:- 1. Identifying Locality of hot spots. 2. Occurrence of these hot spots and trends over a period.


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 Keywords

IoT, Pollutants, Hotspot identification, tracking trajectories

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  Paper Title: APPLICATION OF CLASSIFICATION ALGORITHMS FOR ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD)

  Author Name(s): Hemanth Varma B H, Shaila H. Koppad

  Published Paper ID: - IJCRT2106523

  Register Paper ID - 208958

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106523 and DOI :

  Author Country : Indian Author, India, 560032 , Bengaluru, 560032 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106523
Published Paper PDF: download.php?file=IJCRT2106523
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106523.pdf

  Your Paper Publication Details:

  Title: APPLICATION OF CLASSIFICATION ALGORITHMS FOR ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD)

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e464-e470

 Year: June 2021

 Downloads: 1040

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

ADHD symptoms, EEG data, Prediction model, Classification algorithms, KNN algorithm.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: DETECTION AND ANALYSIS OF FRUIT QUALITY USING COMPUTER VISION-REVIEW

  Author Name(s): Mr. Akshay Dhandrave, Dr. V.T. Gaikwad

  Published Paper ID: - IJCRT2106522

  Register Paper ID - 208900

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106522 and DOI :

  Author Country : Indian Author, India, 444606 , Amravati, 444606 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106522
Published Paper PDF: download.php?file=IJCRT2106522
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106522.pdf

  Your Paper Publication Details:

  Title: DETECTION AND ANALYSIS OF FRUIT QUALITY USING COMPUTER VISION-REVIEW

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e460-e463

 Year: June 2021

 Downloads: 1067

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Python, OpenCV, convolution neural network, image processing, support vector machine.

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  Paper Title: STOCK MARKET PREDICTION USING MACHINE LEARNING

  Author Name(s): Gautami Bafna, Manish Patil, Poojan Modi, Rutika Shinde, Prof.Ashish Awate

  Published Paper ID: - IJCRT2106521

  Register Paper ID - 208684

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106521 and DOI :

  Author Country : Indian Author, India, 424001 , Dhule, 424001 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106521
Published Paper PDF: download.php?file=IJCRT2106521
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106521.pdf

  Your Paper Publication Details:

  Title: STOCK MARKET PREDICTION USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: e455-e459

 Year: June 2021

 Downloads: 1112

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

machine learning, artificial neural network (ann),recurrent neural network(rnn),LSTM,regression.

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