ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: THE JOURNEY OF POLITICAL REBEL RETURNEES: THEIR DIARIES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106530
Register Paper ID - 208442
Title: THE JOURNEY OF POLITICAL REBEL RETURNEES: THEIR DIARIES
Author Name(s): Lemuel C. Edrolin
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e508-e611
Year: June 2021
Downloads: 1174
Licence: creative commons attribution 4.0
Keywords: criminal justice, political offenders, enhanced comprehensive local integration program, qualitative design, Philippines
Paper Title: INTEGRATED FARMING SYSTEM USING ML ALGORITHMS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106529
Register Paper ID - 209011
Title: INTEGRATED FARMING SYSTEM USING ML ALGORITHMS
Author Name(s): Rahul Mahurkar, Pankaj Chopade, Omkar Kudile, Santosh Sharma, Sharad Adsure
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e503-e507
Year: June 2021
Downloads: 1055
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
Licence: creative commons attribution 4.0
Farming, Recommendation System, Machine Learning
Paper Title: COTTON LEAF DISEASE DETECTION USING CNN
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106528
Register Paper ID - 208733
Title: COTTON LEAF DISEASE DETECTION USING CNN
Author Name(s): Varun Suryawanshi, Yash Bhamare, Komal Chaudhary, Rahul Badgujar, Bhushan Nandwalkar
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e497-e502
Year: June 2021
Downloads: 1194
Licence: creative commons attribution 4.0
Convolution Neural Network, Keras, Tenserflow, MATLAB
Paper Title: AUTOMATED HR MANAGEMENT SYSTEM USING SELENIUM WEBDRIVER AND PYTHON
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106527
Register Paper ID - 209024
Title: AUTOMATED HR MANAGEMENT SYSTEM USING SELENIUM WEBDRIVER AND PYTHON
Author Name(s): Shivani Bhavsar, Preeti Mandge, Srushti Patel, Mrunal Nikumbe, Akash Koli
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e492-e496
Year: June 2021
Downloads: 1157
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.
Licence: creative commons attribution 4.0
Web Automation, Selenium, WebDriver
Paper Title: REVIEW ON GREEN SYNTHESIS OF SILVER NANO PARTICLES, CHARACTERIZATION AND ENVIRONMENTAL REMEDIATION AND BIOACTIVITIES APPLICATIONS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106526
Register Paper ID - 208972
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
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e481-e491
Year: June 2021
Downloads: 1068
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.
Licence: creative commons attribution 4.0
Antibacterial activity, Antifungal activity, Anti-in?ammatory activity, Antiviral activity, Cardio protection, Wound dressing and Environmental Remediation
Paper Title: QUESTIONNAIRE-BASED SURVEY ON COVID-19 VACCINATION AMONG HEALTHCARE STUDENTS AND WORKERS.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106525
Register Paper ID - 209022
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
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e475-e480
Year: June 2021
Downloads: 1070
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.
Licence: creative commons attribution 4.0
vaccine, Google form, symptoms, age
Paper Title: AIR POLLUTION HOTSPOT DETECTION AND IDENTIFYING SOURCE TRAJECTORIES USING IOT
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106524
Register Paper ID - 208997
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
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e471-e474
Year: June 2021
Downloads: 1050
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.
Licence: creative commons attribution 4.0
IoT, Pollutants, Hotspot identification, tracking trajectories
Paper Title: APPLICATION OF CLASSIFICATION ALGORITHMS FOR ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD)
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106523
Register Paper ID - 208958
Title: APPLICATION OF CLASSIFICATION ALGORITHMS FOR ATTENTION DEFICIT HYPERACTIVITY DISORDER (ADHD)
Author Name(s): Hemanth Varma B H, Shaila H. Koppad
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e464-e470
Year: June 2021
Downloads: 1053
Licence: creative commons attribution 4.0
ADHD symptoms, EEG data, Prediction model, Classification algorithms, KNN algorithm.
Paper Title: DETECTION AND ANALYSIS OF FRUIT QUALITY USING COMPUTER VISION-REVIEW
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106522
Register Paper ID - 208900
Title: DETECTION AND ANALYSIS OF FRUIT QUALITY USING COMPUTER VISION-REVIEW
Author Name(s): Mr. Akshay Dhandrave, Dr. V.T. Gaikwad
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e460-e463
Year: June 2021
Downloads: 1081
Licence: creative commons attribution 4.0
Python, OpenCV, convolution neural network, image processing, support vector machine.
Paper Title: STOCK MARKET PREDICTION USING MACHINE LEARNING
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106521
Register Paper ID - 208684
Title: STOCK MARKET PREDICTION USING MACHINE LEARNING
Author Name(s): Gautami Bafna, Manish Patil, Poojan Modi, Rutika Shinde, Prof.Ashish Awate
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e455-e459
Year: June 2021
Downloads: 1144
Licence: creative commons attribution 4.0
machine learning, artificial neural network (ann),recurrent neural network(rnn),LSTM,regression.
Paper Title: CONVERSION OF SOUND ENERGY TO ELECTRICAL ENERGY
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106520
Register Paper ID - 208897
Title: CONVERSION OF SOUND ENERGY TO ELECTRICAL ENERGY
Author Name(s): P.vaishnavi, M.Manasa Chowdary, K.Kusuma Kumari, N.Gangadhara Reddy, K.Sai Krishna
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e452-e454
Year: June 2021
Downloads: 1134
Nowadays the main problem is noise pollution . However we cannot either control it or reduce it but we can use it as a source of energy. There is huge scarcity of electrical energy though there are numerous sources since we need electricity for running our most appliances and to carry out our daily work. Sound is a mechanical form of energy which travel in the form of wave, mechanical wave that is an oscillation of pressure this pressure created by the sound could be used to convert it into electric energy or other form of energy using a transducer.
Licence: creative commons attribution 4.0
Diaphragm, piezoelectric materials, transducer, sound energy, thermodynamics
Paper Title: INTELLIGENT IMAGE CLASSIFIER
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106519
Register Paper ID - 208907
Title: INTELLIGENT IMAGE CLASSIFIER
Author Name(s): Sai Charan, P.Meghana, G.Harsha Vardhan
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e445-e451
Year: June 2021
Downloads: 1139
All people, we know, have neurons that retain information. What is in an image may be expressed by humans. We categorise photos depending on the terrains or landscapes they contain, for example. Is it possible to accomplish the same with a computer? Yes. The Intelligent Image Classifier is a Convolutional Neural Network (ANN) model that classifies pictures based on the terrain that they include. To offer the user with a graphical user interface, the model is coupled with a front-end site and an android application when it is created. The user may categorise a picture by selecting it. The model then runs based on picture categorization into labels. The output is finally shown on the screen. This approach may be used to organise photos on a mobile phone according to the user's preferences.
Licence: creative commons attribution 4.0
Convolution Neural Network
Paper Title: AUTOMATED ATTENDANCE SYSTEM USING FACIAL RECOGNITION
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106518
Register Paper ID - 208915
Title: AUTOMATED ATTENDANCE SYSTEM USING FACIAL RECOGNITION
Author Name(s): Guthi Mahesh, Moigari Nikhil, Mallisetty Koushik, V Siva Prasad
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e441-e444
Year: June 2021
Downloads: 1135
The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institutions to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient attendance taking. Many problems arise when the authority is unable to enforce the regulation that exists in the old system. Thus, by means of technology, this project will resolve the flaws that existed in the current system while bringing attendance taking to a whole new level by automating most of the tasks.
Licence: creative commons attribution 4.0
Image processing ,Matching ,Capture, Extraction.
Paper Title: OPTIMUM UTILIZATION OF HUMAN HAIR IN CONCRETE AS A PARTIAL REPLACEMENT OF CEMENT
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106517
Register Paper ID - 208865
Title: OPTIMUM UTILIZATION OF HUMAN HAIR IN CONCRETE AS A PARTIAL REPLACEMENT OF CEMENT
Author Name(s): Mr.Sudhir Kapgate, Mr. Vishwas T Lonkar, Ms. Shabina V Ansari, Ms. Sneha D Bante, Vaishnavi Gotmare, Raksha D Manmode, Raksha Kamble
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e436-e440
Year: June 2021
Downloads: 1152
This study presents the human hair is a strong in tension & used fiber reinforcement materials. Its very cheap cost concrete as one of the mostly widely used building material. It is adding of both cement & human hair to reinforcement concrete in M20 grade concrete. Fiber reinforced concrete is one among those advancement which offer a convenient particle and economical method. Studies have been under taken to analyses the effect of human hair on plain cement concrete on the basis of compressive , crusing, and flexural strength and crauling control to economize method. Human hair percentage is 0 to 3% by weight of cement and for each % of human hair added in concrete 12 cubes were tested for their respectively mechanical properties of caring periods 7days, 14days and 28days. The combustion of human hair create unpleasant odour & produces hazardous gases like ammonia, sulphides, hydrogen sulphide, sulphur dioxide etc. The reuse of human hair show that it gives more compressive strength as compared to normal or ideal concrete. The study of human hair fiber are incorporated into concrete. In this practical the results showed that there is an increment in the various mechanical properties and strength of concrete by adding of human hairs to concrete. The concrete mix for sustainable construction practices.
Licence: creative commons attribution 4.0
Human Hair, fiber reinforced concrete, Compressive Strength
Paper Title: DETECTING COVID-19 USING CHEST X-RAYS: A NEURAL NETWORK BASED APPROACH
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106516
Register Paper ID - 208877
Title: DETECTING COVID-19 USING CHEST X-RAYS: A NEURAL NETWORK BASED APPROACH
Author Name(s): T Prathima, Satya Shodhaka R Prabhanjan, Syed Danish Hussaini
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e426-e435
Year: June 2021
Downloads: 1100
The novel corona virus popularly known as COVID-19 is a pandemic which shook the entire world. The virus can be detected using X-Rays, Chest CT Scans, RTPCR, etc. In this work we used the X-Ray images of chest taken from healthy people, pneumonia effected patients and chest X-Rays of Corona effected patients. We trained the top CNN architectures and observed the results. We have also used Data Augmentation to increase the dataset. AlexNet gave us better accuracy in reasonable time
Licence: creative commons attribution 4.0
COVID-19, X-Rays, Data Augmentation, AlexNet, VGG, DenseNet, Squeezenet, ResNet
Paper Title: CORONA VIRUS DETECTION BY CT-IMAGES
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106515
Register Paper ID - 208904
Title: CORONA VIRUS DETECTION BY CT-IMAGES
Author Name(s): Anjitha K J, Anila Jose
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e420-e425
Year: June 2021
Downloads: 1073
The Corona virus detection by CT images is used with deep learning algorithm.Deep learning provides the expertise and services of the project .Corona virus or COVID 19 is began in China it causes for the respiratory illness and death .Coronavirus is firstly reported at Wuhan, China on December 2019 .More than 159000000 people are infected by Corona around the world .Over 3300000 people have died because of this virus .For the large number of suspected cases quarantine and treatment is the solution for the virus. Now RT-PCR and antigen tests are available for detecting the Corona virus .But these are the slow procedure for people.In this project we can detect the corona virus by using the CT images of human due to this easily detect the virus and suddenly goes to the quarantine band treatment.COVID 19 detected by the radio graphical changes in CT images saving critical time for disease control.
Licence: creative commons attribution 4.0
COVID 19,CT images , Artificial intelligence and Deep Learning,Black fungus,Molecular test,Antigen test,Antibody test
Paper Title: GM-SPIN(GENETIC BASED MODIFLY SENSOR PROTOCOL FOR INFORMATION VIA NEGOTIATION) IN WIRELESS SENSOR NETWORK.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106514
Register Paper ID - 205353
Title: GM-SPIN(GENETIC BASED MODIFLY SENSOR PROTOCOL FOR INFORMATION VIA NEGOTIATION) IN WIRELESS SENSOR NETWORK.
Author Name(s): Lakshita Landge, Nitisha Waghela
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e412-e419
Year: June 2021
Downloads: 1274
Wireless sensor network has a number of autonomous nodes and important task of WSN, collect data from an node and send to the base station .Node in a WSN are power constrained due to limited battery power. Energy Consumption is one of the main issue in WSN. to increase the network life time and reduced battery consumption various routing protocol are used. LEACH, DEEC, DDEEC, EDEEC and SPIN are the routing protocol for Wireless sensor network. The limitations of traditions protocols has been removed by M-spin. M-spin helps to increase the network life time of the nodes. However there are some limitations of M-spin protocol. Drawback of M-spin protocol can be overcome by applying Genetic Algorithm on M-spin protocol. In this paper, we present the comparative review of M-spin protocol with Genetic Algorithm.
Licence: creative commons attribution 4.0
Modified Spin protocol, Wireless sensor network, Genetic Algorithm.
Paper Title: METRO ASSISTANT FOR DMRC
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106513
Register Paper ID - 208924
Title: METRO ASSISTANT FOR DMRC
Author Name(s): Nishant Kumar, Ms. Nidhi sengar
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e405-e411
Year: June 2021
Downloads: 1112
This tool will function as an assistant to the user providing them with the fastest and shortest path to get from one station to another station. The tool will also calculate the price of the journey.
Licence: creative commons attribution 4.0
Paper Title: IMPACT OF COVID-19 ON E-BANKING SERVICES WITH SPECIAL REFERENCE TO PORT BLAIR, SOUTH ANDAMAN
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106512
Register Paper ID - 209044
Title: IMPACT OF COVID-19 ON E-BANKING SERVICES WITH SPECIAL REFERENCE TO PORT BLAIR, SOUTH ANDAMAN
Author Name(s): Sumit Bain
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e396-e404
Year: June 2021
Downloads: 1093
ABSTRACT The ongoing spread of COVID-19 has become one of the biggest threats to the global economy and financial markets. To contain the impact of the coronavirus outbreak, India, like many countries across the globe, is taking several measures, including a nationwide lockdown; limiting movement of the entire population; shutting down public places and transport; and urging the public to stay indoors, maintain social distance, and work from home. The resulting economic disruption is huge and the short-term decline in activity for businesses, both large and small, considerable. The basic need (Food and Medicine) is important for continuo their life and in it the transfer of money plays an important role. Online banking can make the transaction through an electronic basis without the exchange of any tangible commodity with maintaining social distance. Online banking is the modern concept of banking in which people can do some banking activities (like Transfer cash transfer and in the account, Check Bank Balance, Payment of Bills, Phone recharge and etc.) through using the Internet in their phone, computer. One of the most important features of online banking is that it can totally operate electronically basis without the exchange of any tangible commodity and it has made it an important tool to protect from the pandemic. In this paper we describe the various digital payment methods that are used in the pandemic situation.
Licence: creative commons attribution 4.0
Keywords: Mobile Banking, Internet, Covid-19, Lockdown, Digital Payment
Paper Title: SURVEY OF FRESH WATER BODIES OF AJMER
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2106511
Register Paper ID - 208403
Title: SURVEY OF FRESH WATER BODIES OF AJMER
Author Name(s): Dr Rashmi Sharma, Ashok Sharma, Amogh Bhardwaj, Devesh Bhardwaj
Publisher Journal name: IJCRT
Volume: 9
Issue: 6
Pages: e388-e395
Year: June 2021
Downloads: 1201
Ajmer is central district of Western Water scarce Rajasthan.Due to water scarcity Fresh water bodies of Rajasthan are surveyed.
Licence: creative commons attribution 4.0
Ajmer,Fresh water bodies, Rajasthan.
The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.
Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager, Academia.edu, arXiv.org, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more International Journal of Creative Research Thoughts (IJCRT) ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved. Provide DOI and Hard copy of Certificate. Low Open Access Processing Charges. 1500 INR for Indian author & 55$ for foreign International author. Call For Paper (Volume 12 | Issue 7 | Month- July 2024)