IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
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(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: ROBOTIC PROCESS AUTOMATION: A CASE STUDY FOR EFFICIENT IMPLEMENTATION IN LEAN MANUFACTURING ENVIRONMENT
Author Name(s): Dr. Bhaskar Seth, Dr. Priyanka Sisodiya
Published Paper ID: - IJCRT2203111
Register Paper ID - 216685
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203111 and DOI :
Author Country : Indian Author, India, 313001 , UDAIPUR, 313001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203111 Published Paper PDF: download.php?file=IJCRT2203111 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203111.pdf
Title: ROBOTIC PROCESS AUTOMATION: A CASE STUDY FOR EFFICIENT IMPLEMENTATION IN LEAN MANUFACTURING ENVIRONMENT
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a847-a855
Year: March 2022
Downloads: 639
E-ISSN Number: 2320-2882
In upcoming future uses of robots are very much "operative" tasks in manufacturing industries. Robotic automation and their accessories will be used in the reduction of production throughput time, cycle time and line time to meet the production capacity. Automation will reduce the manpower and reduce the bottleneck of any test stage for the mass manufacturing. Different type of robotic automation and their application and uses. Some of the most significant future uses of robots may be to provide feasible means of providing services or exploiting resources handling dangerous radioactive wastes on a routine basis in a future disposal facility.
Licence: creative commons attribution 4.0
Robotic, Automation, Manufacturing industries
Paper Title: WILD ANIMAL DETECTION IN AGRICULTURE FARMS USING DEEP CONVOLUTIONAL NEURAL NETWORK
Author Name(s): FASEEHA M M, AMBILY JACOB
Published Paper ID: - IJCRT2203110
Register Paper ID - 216659
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203110 and DOI :
Author Country : Indian Author, India, 680670 , Thrissur, 680670 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203110 Published Paper PDF: download.php?file=IJCRT2203110 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203110.pdf
Title: WILD ANIMAL DETECTION IN AGRICULTURE FARMS USING DEEP CONVOLUTIONAL NEURAL NETWORK
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a837-a846
Year: March 2022
Downloads: 855
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Image Processing, Real-time Object, YOLOv3, Deep Convolutional Neural Network.
Paper Title: EVALUATION OF CHEMICAL PROFILE AND IN VITRO ANTIOXIDANT STUDY OF DIFFERENT PARTS OF ADHAHAPUSHPI (TRICHODESMA INDICUM LINN R.BR.)
Author Name(s): Dr. Sarojini Byadigi, Dr. Subrahmanya Padyana
Published Paper ID: - IJCRT2203109
Register Paper ID - 216673
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203109 and DOI :
Author Country : Indian Author, India, 591102 , Bailhongal, 591102 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203109 Published Paper PDF: download.php?file=IJCRT2203109 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203109.pdf
Title: EVALUATION OF CHEMICAL PROFILE AND IN VITRO ANTIOXIDANT STUDY OF DIFFERENT PARTS OF ADHAHAPUSHPI (TRICHODESMA INDICUM LINN R.BR.)
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a827-a836
Year: March 2022
Downloads: 770
E-ISSN Number: 2320-2882
Evidence suggests that the plants are considered a good source for chemoprevention and cancer therapy due to the high concentration and wide variety of antioxidants such as vitamin A, vitamin C, polyphenols, (?)?Epigallocatechin 3-gallate, flavonoids, polyphenols, gallic acid, glycosides, epicatechin, quercetin. Adhahapushpi(TrichodesmaindicumLinn.RB.)Belonging to Boraginaceae family is traditionally used as anticancer to treat breast cancer in Chattisagharha. It suggests its antioxidant content. The present study is conducted to evaluate antioxidant activity and chemical composition of different parts of Adhahapushpi (Trichodesma indicum Linn R.Br.). DPPH essay is widely used methodology to determine antioxidant capacity which measures the reducing ability of antioxidants toward the DPPH radical. Ethanol, Methanol and Water extracts of different parts of Adhahapushpi are tested for antioxidant activity using in vitro model- DPPH essay. Result showed that the total phenolic content(Gallic acid) ranged between 29.50 to 73.21 mg/gm extract and total flavanoid (Quercitin) ranged between 2.63 to 18.69 mg/gm extract. Inhibition rate in DPPH antioxidant essay ranged between 63.9 to 82.1%. From the study it is concluded that the different parts of Adhahapushpi(TrichodesmaindicumLinn.RBr).can be a good source of natural antioxidant.
Licence: creative commons attribution 4.0
Adhahapushpi, Boraginaceae, , phenolics, flavanoids, gallic acid, quercitin, antioxidant activity DPPH essay.
Paper Title: HEART ATTACK PREDICTION USING MACHINE LEARNING
Author Name(s): ALEENA PRAKASH, AMBILY JACOB
Published Paper ID: - IJCRT2203108
Register Paper ID - 216661
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203108 and DOI :
Author Country : Indian Author, India, 680545 , Thrissur, 680545 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203108 Published Paper PDF: download.php?file=IJCRT2203108 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203108.pdf
Title: HEART ATTACK PREDICTION USING MACHINE LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a821-a826
Year: March 2022
Downloads: 685
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Random Forest classifier, Support Vector Machine, Heart attack prediction.
Paper Title: REVIEW ON DATA VISUALIZATION AND PREDICTION USING MACHINE LEARNING TECHNIQUES
Author Name(s): Suraj Purushottam Gulhane, Dr. A. B. Raut
Published Paper ID: - IJCRT2203107
Register Paper ID - 216662
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203107 and DOI :
Author Country : Indian Author, India, 444709 , Dhamangaon Rly, 444709 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203107 Published Paper PDF: download.php?file=IJCRT2203107 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203107.pdf
Title: REVIEW ON DATA VISUALIZATION AND PREDICTION USING MACHINE LEARNING TECHNIQUES
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a817-a820
Year: March 2022
Downloads: 647
E-ISSN Number: 2320-2882
The paper is about optical character recognition with image processing and machine learning techniques. The machine learning technique is the core part of this model. Optical character recognition which reads each character through image. here in proposed system our application is designed to work on multiple application like for college, shops, hospitals, ect. by using the smart phone it need to capture real time image of name of place and then this application will extract text from image and predict the match data using different machine learning technique and search for information related to respected place and get entire details. Most of the people in our country love to travel, shopping, etc. and it is commonly seen that we don't have information about some places so it is difficult to ask any person about some place because of language barrier or may be any other problems. As the solution of this problem, we are developing an web application that will help user to get out details of any place such as college, shop, mall, hotel, restaurants, ctc.
Licence: creative commons attribution 4.0
Optical Character Recognition, Machine Learning, Image Processing.
Paper Title: BHARAT SARKAR KE READ PRAPATAN KA VISHLESHAN
Author Name(s): Dr. Alok Singh
Published Paper ID: - IJCRT2203106
Register Paper ID - 216672
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203106 and DOI :
Author Country : Indian Author, India, 211008 , Prayagraj (allahabad), 211008 , | Research Area: Commerce All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203106 Published Paper PDF: download.php?file=IJCRT2203106 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203106.pdf
Title: BHARAT SARKAR KE READ PRAPATAN KA VISHLESHAN
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce All
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a812-a816
Year: March 2022
Downloads: 650
E-ISSN Number: 2320-2882
Yes
Licence: creative commons attribution 4.0
Paper Title: APPLICATIONS OF PRODRUG FOR TARGETED CANCER THERAPY
Author Name(s): Mr. Shailesh Farkade, Ms. Priyanka Shelke, Dr. Gajanan Sanap, Mr. Aniket Bankar
Published Paper ID: - IJCRT2203105
Register Paper ID - 216669
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203105 and DOI :
Author Country : Indian Author, India, 431112 , Aurangabad, 431112 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203105 Published Paper PDF: download.php?file=IJCRT2203105 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203105.pdf
Title: APPLICATIONS OF PRODRUG FOR TARGETED CANCER THERAPY
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a803-a811
Year: March 2022
Downloads: 653
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Cancer, Complementation, Conditional Biospecificity, Prodrugs, Targeted Therapy.
Paper Title: AN ECONOMIC ANALYSIS OF COMMERCIAL CROP FARMING: A CASE STUDY OF PRAKASAM DISTRICT
Author Name(s): P. NAVEEN, Dr. A. BHARATHI DEVI
Published Paper ID: - IJCRT2203104
Register Paper ID - 215967
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203104 and DOI :
Author Country : Indian Author, India, 523001 , Ongole, 523001 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203104 Published Paper PDF: download.php?file=IJCRT2203104 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203104.pdf
Title: AN ECONOMIC ANALYSIS OF COMMERCIAL CROP FARMING: A CASE STUDY OF PRAKASAM DISTRICT
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a785-a802
Year: March 2022
Downloads: 760
E-ISSN Number: 2320-2882
Prakasam is one of the major commercial growing districts. In Andhra Pradesh, Prakasam is the second largest producer of commercial crops and holds the same position in the case of fruits with introduction of improved production techniques. Commercial crops occupy a place of special signification in human nutrition. Andhra Pradesh is well known as a cereal producing state. Since the advent of Green Revolution, agriculture of Andhra Pradesh has slowly shifted from subsistence to commercialized one due to good yield and minimum support price. In Prakasam wheat-paddy rotation become most popular rotation which is the root cause of various problems related to the soil and environment. Recently emphasis has been placed on the diversification of Andhra Pradesh agriculture. Commercial crops farming are considered to be good replacement for wheatpaddy rotation. But in Andhra Pradesh farmers are less interested to grow commercial crops as these crops cannot provide assured returns to the farmers on the account of their perishable nature, forces of demand and supply, inefficient marketing system, inadequate storage facilities, processing etc. India produces a wide variety of commercial and has a major position in production among many countries. India is the second largest producer of commercial crops with annual production of 118.60 million tonnes. Area of commercial crops in India is 6.10 million hectares which is more than 11.80% of the total area of the World. India is rich in commercial crops and fruits production because of agro climatic variations, biodiversity, fertility of soil, and cultivable area. In India, commercial crops production has reached the peak of production level. On the other hand farmers can also take various steps to empower themselves through forming co-operative societies and developing organization skills to prevent their exploitation by the middlemen and commission agents.
Licence: creative commons attribution 4.0
Farming, Climatic Variations, Middleman, Land holdings
Paper Title: MITIGATION OF POWER QUALITY PROBLEMS USING PV-UPQC IN A DISTRIBUTION SYSTEM
Author Name(s): Pothumahanty sai jyothi
Published Paper ID: - IJCRT2203103
Register Paper ID - 216663
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203103 and DOI :
Author Country : Indian Author, India, 530040 , VISAKHAPATNAM, 530040 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203103 Published Paper PDF: download.php?file=IJCRT2203103 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203103.pdf
Title: MITIGATION OF POWER QUALITY PROBLEMS USING PV-UPQC IN A DISTRIBUTION SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a777-a784
Year: March 2022
Downloads: 705
E-ISSN Number: 2320-2882
Power quality issues such as current and voltage harmonics, voltage sag / swell has become major reasons for power failure and power quality degradation in current times. Renewable energy sources are now consuming most of the energy for a day. Power demand is also growing due to an abnormal growth of consumers of electrical energy. There are problems with power quality. As a result, in the installation of custom power devices is a major consideration for improving these power quality issues. This paper therefore, deals with the enhancement power quality problems by means of a Photo-Voltaic -Unified Power Quality Compensator (PV-UPQC) interface with the UPQC DC-link via a DC-DC step up converter. The PV array is interfaced with the UPQC DC-link by means of a DC-DC boost converter. Maximum power extracted from the PV array by means of MPP control is fed to boost the converter. The UPQC Shunt Voltage Source Converter compensates for issues with load power quality issues, such as current harmonics. Apart from this VSC shunt, it supplies the grid with effective active power from the SPV while retaining the DC voltage link at the preset voltage level. The VSC series compensates for issues with grid side voltage PQ such as voltage sag /swell and harmonics at different non-linear loads connected to the (PCC) load bus. The simulation and evaluation of PV-UPQC with various nonlinear load cases such as R-L load, personal computer, fluorescent lamp, television is performed in PSCAD under varying irradiation and grid voltage disturbances such as voltage sag / swell and load bus (PCC) harmonics was validated by IEEE std. 519-2014 and noted that the PCC's harmonics are within the limits.
Licence: creative commons attribution 4.0
Power Quality, UPQC, harmonics, solar PV, MPPT, boost converter.
Paper Title: STOCK MARKET PREDICTION AND RECOMMENDATION SYSTEM
Author Name(s): Khushboo Dattani, Ashutosh Shukla, Devansh Shah, Aarti Puthran
Published Paper ID: - IJCRT2203102
Register Paper ID - 215193
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2203102 and DOI :
Author Country : Indian Author, India, 400067 , Mumbai, 400067 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2203102 Published Paper PDF: download.php?file=IJCRT2203102 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2203102.pdf
Title: STOCK MARKET PREDICTION AND RECOMMENDATION SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 10 | Issue: 3 | Year: March 2022
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 10
Issue: 3
Pages: a771-a776
Year: March 2022
Downloads: 791
E-ISSN Number: 2320-2882
Since its inception, the Stock market has become a sophisticated way of investing money and a reliable source of income. Performance of stock relies on multiple factors which makes it very unpredictable and volatile. Hence, Prediction can play an important and helpful role here. Predicting markets can offer great profit avenues, and much research is going on for it. For prediction, most researchers use either technical analysis or fundamental analysis. Technical analysis can be referred to as prediction on the basis of previous stock prices while fundamental analysis can be referred to as analysing the unstructured textual data, example: news, tweets, etc. Today the world is digitalized, the market information is accessible to common people as well, this takes it to text mining strategies that would extract significant information to analyse market behaviour. In this project we will be using past prices of stock and news headlines together to predict the stock prices. The project will give recommendations on stock buy /sell on the basis of current news
Licence: creative commons attribution 4.0

