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: RAJNITI MEIN NAARI KI BHAGIDARI
Author Name(s): Babita Nagar, Prof. Sunita Meena
Published Paper ID: - IJCRT2409644
Register Paper ID - 269782
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409644 and DOI :
Author Country : Indian Author, India, 301604 , ALWAR, 301604 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409644 Published Paper PDF: download.php?file=IJCRT2409644 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409644.pdf
Title: RAJNITI MEIN NAARI KI BHAGIDARI
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f775-f778
Year: September 2024
Downloads: 230
E-ISSN Number: 2320-2882
MENTIONED IN CHAPTED
Licence: creative commons attribution 4.0
NAARI, POLITICS, REPRESENTATIVE ETC.
Paper Title: Document Verification And Management System Using Blockchain
Author Name(s): Gaytri Kumari, Prajwalita Dongre, Tiya Mukherjee, Pandey Nidhi Mataprasad
Published Paper ID: - IJCRT2409643
Register Paper ID - 269802
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409643 and DOI :
Author Country : Indian Author, India, 411048 , Pune, 411048 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409643 Published Paper PDF: download.php?file=IJCRT2409643 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409643.pdf
Title: DOCUMENT VERIFICATION AND MANAGEMENT SYSTEM USING BLOCKCHAIN
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f770-f774
Year: September 2024
Downloads: 240
E-ISSN Number: 2320-2882
Documents and certificates are crucial for proving professional achievements, making them essential for career progression. The current system for issuing and verifying these documents is often slow and labour-intensive. Moreover, paper-based documents are susceptible to forgery, resulting in various educational frauds. This project aims to resolve these issues by leveraging blockchain technology. Blockchain extends beyond cryptocurrencies and has significant applications in various fields, including healthcare, supply chain management, and finance. In education, blockchain can transform the traditional method of issuing and verifying certificates. This project will illustrate how professional certificates can be authenticated using the Ethereum platform and smart contracts. The process includes converting traditional paper certificates into digital formats upon request, applying cryptographic hash functions to generate hash values for the digital certificates, storing the hash values on the blockchain, creating a unique certificate ID and transaction hash value, and utilizing the unique certificate ID and transaction hash value for certificate verification through a unified platform. This approach includes streamlining the certificate issuance, storage and verification process, increasing security by preventing forgery and unauthorized modifications, providing a clear and immutable record of certifications, and facilitating easy access and verification by third parties.
Licence: creative commons attribution 4.0
Blockchain, Document, Storage, Security, Ethereum, Hash Function.
Paper Title: Study To Assess Knowledge Of Needle Stick Injury Among Healthcare Workers
Author Name(s): Dr.Parmila Malik, Dr.Sandeep Tripathi, Dr.Dushyant S.Chauhan, Dr.VG Veeresh, Dr.Mahendra Kumar Verma
Published Paper ID: - IJCRT2409642
Register Paper ID - 269779
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409642 and DOI :
Author Country : Indian Author, India, 132103 , Panipat, 132103 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409642 Published Paper PDF: download.php?file=IJCRT2409642 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409642.pdf
Title: STUDY TO ASSESS KNOWLEDGE OF NEEDLE STICK INJURY AMONG HEALTHCARE WORKERS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f753-f769
Year: September 2024
Downloads: 324
E-ISSN Number: 2320-2882
ABSTRACT: Laboratory technicians and other workers are at high risk of infection because of their daily exposure to micro-organisms. Needle stick injuries (NSIs) are a critical occupational hazard for healthcare workers, carrying the risk of transmitting blood borne pathogens such as HIV, hepatitis B, and hepatitis C. Despite established guidelines and preventive measures, the occurrence of NSIs remains a significant concern. This study seeks to evaluate the knowledge of healthcare workers regarding needle stick injuries, aiming to identify areas of strength and weakness in their understanding.
Licence: creative commons attribution 4.0
Paper Title: Enhancing Road Safety and Accident Detection Using YOLO
Author Name(s): Radha Shirbhate, Omkar Nikat, Sakshi Borude, Shyam Patil
Published Paper ID: - IJCRT2409641
Register Paper ID - 269761
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409641 and DOI :
Author Country : Indian Author, India, 412207 , Pune, 412207 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409641 Published Paper PDF: download.php?file=IJCRT2409641 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409641.pdf
Title: ENHANCING ROAD SAFETY AND ACCIDENT DETECTION USING YOLO
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f747-f752
Year: September 2024
Downloads: 306
E-ISSN Number: 2320-2882
Speed is one of the causes of car accidents. If emergency services receive emergency information and arrive at the scene in time, many people will be saved. This project includes helmet detection and sending challan systems. In recent years, motorcycle accidents have increased in some countries because drivers around the world often ignore safety precautions, which leads to accidents and deaths. Drivers who do not wear helmets are at the greatest risk of brain injuries; There is a law in India that requires only bike riders to wear helmets, not passengers. Anyone riding a motorcycle without a helmet can have an accident or suffer a head injury. It should be mandatory for everyone to wear a helmet; In this "automatic helmet inspection and penalty", passengers without helmets are detected and the license plate number of the motorcycle is recorded. A penalty message is sent to the person not wearing a helmet. This is because more and more people are now riding motorcycles on the highway, causing more accidents and injuries. Cyclists not wearing protective helmets are one of the main causes of accidents. You can check if they are currently wearing helmets by looking at CCTV footage from surrounding buildings or walkways. It is important for people to interact with one of these systems to see people who are not wearing helmets. The system classifies the features of products based on the information collected about them. The system now uses deep learning for the you-will-only-see-once (YOLO)-Darknet policy to detect the helmet.
Licence: creative commons attribution 4.0
Helmet detection; Image processing, YOLO, Database, CNN.
Paper Title: ENHANCING STOCK MARKET FORECAST ACCURACY WITH INVESTOR SENTIMENT AND ADVANCED OPTIMIZED LSTM
Author Name(s): K. Kiruthika, E.S. Samundeeswari
Published Paper ID: - IJCRT2409640
Register Paper ID - 269715
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409640 and DOI :
Author Country : Indian Author, India, 641016 , Coimbatore, 641016 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409640 Published Paper PDF: download.php?file=IJCRT2409640 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409640.pdf
Title: ENHANCING STOCK MARKET FORECAST ACCURACY WITH INVESTOR SENTIMENT AND ADVANCED OPTIMIZED LSTM
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f728-f746
Year: September 2024
Downloads: 285
E-ISSN Number: 2320-2882
A key challenge in the field of economics is forecasting the prices of stocks. This is made even more complex due to the unpredictable and turbulent nature of the stock market, making it one of the most challenging areas to accurately predict. Our proposal is to create a model for stock market forecasting that considers the sentiments of investors, employing deep learning to address these complexities. The present proposed work suggests including investors' emotion into stock forecasting, which could greatly enhance the reliability of the model's forecasts. Then, use of long short-term memory (LSTM) because of its benefits for using its memory function to analyses correlations between time series data. The findings of the experiment demonstrate that the optimized LSTM model may decrease time delay in addition to increasing prediction accuracy.
Licence: creative commons attribution 4.0
Hyperparameter optimization, long-short term memory, salp swarm optimization, sentiment analysis, stock market price prediction
Paper Title: CNN-Based Deep Learning for Skin Disease Classification: A Comparative Study on Acne, Atopic Dermatitis, and Basal Cell Carcinoma Datasets
Author Name(s): Siyaram Sharma
Published Paper ID: - IJCRT2409639
Register Paper ID - 269800
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409639 and DOI : http://doi.one/10.1729/Journal.41674
Author Country : Indian Author, India, 737136 , Rangpo, 737136 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409639 Published Paper PDF: download.php?file=IJCRT2409639 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409639.pdf
Title: CNN-BASED DEEP LEARNING FOR SKIN DISEASE CLASSIFICATION: A COMPARATIVE STUDY ON ACNE, ATOPIC DERMATITIS, AND BASAL CELL CARCINOMA DATASETS
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.41674
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f717-f727
Year: September 2024
Downloads: 276
E-ISSN Number: 2320-2882
Skin Disease pose significant challenges in healthcare, emphasizing the need for efficient and accurate diagnostic tools. This project explores the application of deep learning, specifically Convolutional Neural Networks (CNNs), for automated skin disease detection. HAM10000 dataset sourced from Kaggle will be utilized to train and evaluate the model. To enhance feature extraction, a series of image processing techniques, including magnification and filtering, will be applied. This project contributes to the growing body of research in medical image analysis, emphasizing the significance of deep learning in dermatological diagnostics.
Licence: creative commons attribution 4.0
Deep Learning, CNN Architecture, Skin Disease Classification, Image Processing, HAM10000 Datasets
Paper Title: Incorporation of Global Practices in Vocational Education
Author Name(s): Deepak Kaushal
Published Paper ID: - IJCRT2409638
Register Paper ID - 251311
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409638 and DOI :
Author Country : Indian Author, India, 450001 , KHANDWA, 450001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409638 Published Paper PDF: download.php?file=IJCRT2409638 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409638.pdf
Title: INCORPORATION OF GLOBAL PRACTICES IN VOCATIONAL EDUCATION
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f709-f716
Year: September 2024
Downloads: 291
E-ISSN Number: 2320-2882
Vocational education focuses on providing practical skills and training for specific careers or trades. It often emphasizes hands-on learning, apprenticeships, and technical skills relevant to various industries such as healthcare, automotive, construction, and information technology. Vocational education programs can vary in length and intensity, offering certificates, diplomas, or associate degrees, preparing individuals for entry-level positions or further education in their chosen field. Vocational education is designed to prepare individuals for specific occupations or trades, providing them with the skills and knowledge needed to enter the workforce directly. Vocational education programs often offer flexible scheduling options, allowing individuals to pursue education while working or managing other responsibilities. Many vocational education institutions collaborate closely with industry partners to ensure that their programs align with current workforce needs and trends, providing students with relevant training and skills. Incorporating global best practices and perspectives in vocational education involves Research and Benchmarking, Stakeholder Engagement, Curriculum Development, Teacher Training and Professional Development, Industry Partnerships, Technology Integration, International Collaboration, and Quality Assurance.
Licence: creative commons attribution 4.0
Vocational Education, Best practice, Industry, Technology, Collaboration, Quality assurance.
Paper Title: Free Energy Generator: An Analysis of Concepts and Feasibility
Author Name(s): Mr.Mahendra B Khatate, Mr.Husem S Momin, Mr. Dnyaneshwar B Daspute, Mr.Eshwar S Korade
Published Paper ID: - IJCRT2409637
Register Paper ID - 269764
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409637 and DOI :
Author Country : Indian Author, India, 410504 , Pune, 410504 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409637 Published Paper PDF: download.php?file=IJCRT2409637 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409637.pdf
Title: FREE ENERGY GENERATOR: AN ANALYSIS OF CONCEPTS AND FEASIBILITY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f705-f708
Year: September 2024
Downloads: 373
E-ISSN Number: 2320-2882
This paper explores the conceptual frameworks and feasibility of free energy generators, devices purported to harness limitless energy from external sources with minimal input. While "free energy" has been a topic of intrigue, particularly in the context of renewable energy and alternative systems, many concepts in this domain tread into speculative or pseudoscientific areas. This research seeks to clarify the distinctions between scientifically plausible systems and speculative designs. By reviewing key developments in zero-point energy, magnetic motors, and other claimed free energy devices, the paper outlines the scientific challenges and potential breakthroughs required to validate the technology. It concludes by offering a critical evaluation of the potential applications and limitations of free energy generation within the context of established physical laws, specifically the first and second laws of thermodynamics.
Licence: creative commons attribution 4.0
Free energy, zero-point energy, perpetual motion, thermodynamics, renewable energy, over-unity devices, magnetic motors, quantum vacuum
Paper Title: A STUDY OF PERCEPTION OF ONLINE SHOPPING BEHAVIOUR OF COLLEGE GOING YOUNG ADULTS IN RADHAPURAM TALUK
Author Name(s): I THANGARAJ
Published Paper ID: - IJCRT2409636
Register Paper ID - 269006
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409636 and DOI :
Author Country : Indian Author, India, 627105 , Kavalkinaru, 627105 , | Research Area: Commerce and Management, MBA All Branch Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409636 Published Paper PDF: download.php?file=IJCRT2409636 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409636.pdf
Title: A STUDY OF PERCEPTION OF ONLINE SHOPPING BEHAVIOUR OF COLLEGE GOING YOUNG ADULTS IN RADHAPURAM TALUK
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Commerce and Management, MBA All Branch
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f700-f704
Year: September 2024
Downloads: 272
E-ISSN Number: 2320-2882
ABSTRACT Understanding the perception of college going young adults towards online shopping is the utmost aspect for any business to grow. The type of study adopted is empirical in nature. The respondents mainly consists of college going young adults who are presently living in Radhapuram Taluk. The sample size that is taken here for the study is 200 which comprises of both males and females of age ranging from 18 years to 21 years. Primary Data was collected by administering a structured questionnaire by applying convenience sampling method based on judgement. Secondary data was collected through the use of published journal, articles by authors who highlighted their views about this topic and reports published in the newspapers. The important perception towards online shopping among the male respondents are price comparison is easier and good packaging and among the female respondents, price comparison is easier and good packaging. It is found that gender wise there is a significant difference in the perception towards online shopping have been noticed in the case of convenience. KEY WORDS: Perception, Online Shopping and College Going Young Adults
Licence: creative commons attribution 4.0
Perception, Online Shopping and College Going Young Adults
Paper Title: Cefpodoxime proxetil: Antibacterial activity ,Pharmacokinetic Properties and Therapeutic Efficacy
Author Name(s): O.Sujana
Published Paper ID: - IJCRT2409635
Register Paper ID - 269741
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2409635 and DOI :
Author Country : Indian Author, India, 502032 , Hyderabad, 502032 , | Research Area: Chemistry All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2409635 Published Paper PDF: download.php?file=IJCRT2409635 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2409635.pdf
Title: CEFPODOXIME PROXETIL: ANTIBACTERIAL ACTIVITY ,PHARMACOKINETIC PROPERTIES AND THERAPEUTIC EFFICACY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 9 | Year: September 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Chemistry All
Author type: Indian Author
Pubished in Volume: 12
Issue: 9
Pages: f695-f699
Year: September 2024
Downloads: 357
E-ISSN Number: 2320-2882
Cefpodoxime Proxetil is a broad-spectrum, orally administered third-generation cephalosporin that acts as a pro-drug. In the body, it is converted to cefpodoxime, which exhibits significant antibacterial activity. a third-generation antibiotic, is effective against various bacterial infections, including cerebral abscesses and bacterial meningitis. As part of the ?-lactam antibiotic group, it is considered one of the safer options available1. Cefpodoxime proxetil has shown comparable clinical and bacteriological efficacy in treating lower respiratory tract infections, like pneumonia, when compared to cefuroxime axetil and amoxicillin/clavulanic acid in randomized controlled trials. It has also proven effective for skin and soft tissue infections in children. In studies involving both adults and children with various infections (such as abscesses, furuncles, cellulitis, and infected wounds),cefpodoxime proxetil's efficacy was similar to that of cefuroxime axetil and cefaclor.Additionally, cefpodoxime proxetil is generally well tolerated in pediatric patients, with adverse effects primarily involving gastrointestinal issues and skin rashes, which are consistent with those observed for other oral cephalosporins2.
Licence: creative commons attribution 4.0
Cefpodoxime proxetil, Cephalosporin, Pharmacokinetic Properties ,Pharmacological applications

