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: THE IMPACT OF SOCIAL MEDIA ON MENTAL HEALTH
Author Name(s): Ankush Lahu Sathe, Archana Wafgaonkar, Dipak Singh
Published Paper ID: - IJCRT2410540
Register Paper ID - 270673
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410540 and DOI : http://doi.one/10.1729/Journal.42234
Author Country : Indian Author, India, 411038 , PUNE, 411038 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410540 Published Paper PDF: download.php?file=IJCRT2410540 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410540.pdf
Title: THE IMPACT OF SOCIAL MEDIA ON MENTAL HEALTH
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.42234
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e592-e595
Year: October 2024
Downloads: 293
E-ISSN Number: 2320-2882
This paper explores the twin effect of social media on mental fitness, highlighting each its capacity to beautify social connections and its affiliation with multiplied tension, depression, and emotions of isolation. Findings suggest that moderation and mindful usage are critical for mitigating poor outcomes whilst maximizing blessings.
Licence: creative commons attribution 4.0
INTRODUCTION,OBJECTIVES,LITERATURE REVIEW,PROBLEM STATEMENT,DATA ANALYSIS,FINDINGS,CONCLUSION,REFERENCES
Paper Title: Data-Driven Insights for College Allotment: Evaluating ML Models for College Prediction.
Author Name(s): Chandra Harika Shatdharshanam, Mahitha Gudipati, Naman Kumar Muktha, Teja Karthik Thangudu
Published Paper ID: - IJCRT2410539
Register Paper ID - 270399
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410539 and DOI : http://doi.one/10.1729/Journal.42038
Author Country : Indian Author, India, 500055 , Hyderabad, 500055 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410539 Published Paper PDF: download.php?file=IJCRT2410539 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410539.pdf
Title: DATA-DRIVEN INSIGHTS FOR COLLEGE ALLOTMENT: EVALUATING ML MODELS FOR COLLEGE PREDICTION.
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.42038
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e584-e591
Year: October 2024
Downloads: 262
E-ISSN Number: 2320-2882
The segregation or the classification of the medical colleges in India based on the NEET rank of the students is a very vital task that can significantly impact the quality of the healthcare sector of the country. This research paper provides an analysis of multiple factors influencing the ranking of the medical colleges in India and it proposes a classification framework based on these factors. This research utilizes a dataset containing information about medical colleges, including factors like score, gender, category, locality, etc. Various machine learning and deep learning algorithms such as random forests, decision trees, and neural networks have been implemented on the dataset, but when compared, the best accuracy attained was through decision trees. The findings of this research paper can be used by various educational institutions and students to improve the quality of medical education in India.
Licence: creative commons attribution 4.0
Machine-learning techniques , Predictive model , Classification framework , Decision trees , Random forests ,Categorical data , Discrete variables , Model interpretation , Overfitting , Feature importance , Linear models ,Computational resources ,Class imbalance
Paper Title: THE ROLE OF DEOPS IN MODERN SOFTWARE DEVELOPMENT
Author Name(s): Ankush Lahu Sathe, Archana Wafgaonkar, Dipak Singh
Published Paper ID: - IJCRT2410538
Register Paper ID - 270586
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410538 and DOI : http://doi.one/10.1729/Journal.42232
Author Country : Indian Author, India, 411038 , PUNE, 411038 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410538 Published Paper PDF: download.php?file=IJCRT2410538 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410538.pdf
Title: THE ROLE OF DEOPS IN MODERN SOFTWARE DEVELOPMENT
DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.42232
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e580-e583
Year: October 2024
Downloads: 260
E-ISSN Number: 2320-2882
DevOps integrates development and operations to beautify collaboration, streamline workflows, and boost up software shipping. It emphasizes automation, non-stop integration, and remarks loops to enhance software first-rate and reliability.
Licence: creative commons attribution 4.0
Introduction,Objective,Literature review,Problem Statement,Data Analysis,Findings,Conclusion, References.
Paper Title: IMAGE TO IMAGE TRANSLATION USING GENERATIVE ADVERSARIAL NETWORK (GAN)
Author Name(s): Vasanth B, G. Muralidhar, K. Hrushikeshh, Dr. B. Prabha
Published Paper ID: - IJCRT2410537
Register Paper ID - 271147
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410537 and DOI :
Author Country : Indian Author, India, 625104 , Madurai, 625104 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410537 Published Paper PDF: download.php?file=IJCRT2410537 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410537.pdf
Title: IMAGE TO IMAGE TRANSLATION USING GENERATIVE ADVERSARIAL NETWORK (GAN)
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e568-e579
Year: October 2024
Downloads: 273
E-ISSN Number: 2320-2882
This paper discusses the application of generative adversarial networks, or rather, the Pix2Pix approach, to transform satellite images to high-resolution map representations. This involved paired datasets of a satellite image and its corresponding map image to train the model so that it could fairly translate real-world data into these correspondingly simplified, illustrative map forms and can reduce issues with data acquisition, even image resolution, and even feature representation. This should result in a more accurate map generation, with no loss of critical geographical features, as a valuable resource for both urban planning and GIS as well as for navigation.
Licence: creative commons attribution 4.0
Image-to-Image Translation, Generative Adversarial Networks (GAN), Map Generation, Feature Representation, Satellite Image Processing.
Paper Title: Ancient Herb To Modern Skin care: A Review of Centella Asiatica In Cosmetics
Author Name(s): Mrs. Anju K.R, Ms. Tasmiya Altaf Palte, Mr. Jay Sachin Pawar, Mr. Shriram Ghanshyam Dhandrut, Dr. Shrutika Dipesh Patil
Published Paper ID: - IJCRT2410536
Register Paper ID - 271149
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410536 and DOI :
Author Country : Indian Author, India, 410210 , Kharghar, 410210 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410536 Published Paper PDF: download.php?file=IJCRT2410536 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410536.pdf
Title: ANCIENT HERB TO MODERN SKIN CARE: A REVIEW OF CENTELLA ASIATICA IN COSMETICS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e554-e567
Year: October 2024
Downloads: 274
E-ISSN Number: 2320-2882
The Apiaceae family of medicinal herbs, including Centella asiatica (L.), has long been utilized in Chinese and Ayurvedic medicine to treat a wide range of illnesses. Its medicinal applications and metabolic characteristics are examined in this review. In addition to amino acids such aspartic acid, glycine, glutamic acid, alanine, and phenylalanine, the plant also includes sugars, tannins, inorganic acids, and resins. A thorough examination demonstrates that the leaves have more moisture and ash than the roots, and that the compound hydrocotylin (C22H33NO8) was isolated from the dried plant material, suggesting a significant amount of sand and earthy components. Flavonoids such as 3-glucosylquercetin and 7-glucosylkaempferol make up the majority of the phenolic chemicals found in C. asiatica. According to recent studies, the plant has several contemporary uses. One such use is the creation of hydrogel-based anti-acne patches, which effectively combat Propionibacterium acnes, a key acne-causing bacteria. Additionally, a pegagan ethanol extract sunscreen spray gel has been evaluated for its UV protection across 290 to 320 nm, demonstrating the herb's utility in dermatological products. This review underscores Centella asiatica's extensive cosmetic value and its emerging role in contemporary skincare solutions.
Licence: creative commons attribution 4.0
medicinal plants, cosmetics, Centella asiatica
Paper Title: Role of forensic evidence in criminal cases
Author Name(s): Priya
Published Paper ID: - IJCRT2410535
Register Paper ID - 271188
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410535 and DOI :
Author Country : Indian Author, India, 131310 , Sonipat, 131310 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410535 Published Paper PDF: download.php?file=IJCRT2410535 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410535.pdf
Title: ROLE OF FORENSIC EVIDENCE IN CRIMINAL CASES
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Other area not in list
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e546-e553
Year: October 2024
Downloads: 287
E-ISSN Number: 2320-2882
When it comes to investigations involving weapons, forensic ballistics is indispensable in Indian criminal cases. The investigation process typically begins when law enforcement agencies collect evidence from the crime scene, such as bullets, shell casings, and firearms. These items are sent to forensic laboratories where ballistic experts analyze them to determine crucial information. This includes identifying the type of firearm used, matching bullets or cartridges to a specific weapon, and estimating the distance and angle from which the shot was fired. The examination also involves studying gunshot residue, trajectory analysis, and wound patterns to reconstruct the crime. This scientific evidence aids in establishing a link between the suspect, the weapon, and the crime scene, providing vital support for prosecution in court. Forensic ballistics in India is subject to stringent regulatory requirements meant to protect the reliability of evidence and maintain high criminal justice standards. The findings from ballistic investigations often serve as pivotal pieces of evidence, helping to solve complex cases involving armed crimes.
Licence: creative commons attribution 4.0
Forensic evidence, criminal cases, India, Examination
Paper Title: Applying Machine Learning To Predict Price By Cryptocurrency
Author Name(s): PRATHIBHA U, ARUN PRAKASH A M, VISHNU PRIYA B
Published Paper ID: - IJCRT2410534
Register Paper ID - 271184
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410534 and DOI :
Author Country : Indian Author, India, 636401 , mettur, 636401 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410534 Published Paper PDF: download.php?file=IJCRT2410534 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410534.pdf
Title: APPLYING MACHINE LEARNING TO PREDICT PRICE BY CRYPTOCURRENCY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e538-e545
Year: October 2024
Downloads: 261
E-ISSN Number: 2320-2882
The prediction of cryptocurrency prices has emerged as a critical area of research, driven by the market's inherent volatility and the increasing popularity of digital currencies such as Bitcoin and Ethereum. Traditional financial models often fall short in capturing the rapid fluctuations and intricate dynamics that characterize cryptocurrency markets. This paper examines the application of machine learning techniques, including Support Vector Machines (SVM), Random Forests, and deep learning architectures like Long Short-Term Memory (LSTM) networks, to forecast cryptocurrency price movements. By utilizing historical price data, technical indicators, and social media sentiment analysis, we develop models that outperform conventional methods. Our findings reveal that deep learning models, particularly LSTM, offer superior accuracy in predicting price trends, with notable reductions in error rates and improvements in directional forecasting. This research emphasizes the promise of machine learning in advancing cryptocurrency price prediction and provides valuable insights for future studies in financial forecasting using cutting-edge AI methodologies.
Licence: creative commons attribution 4.0
Cryptocurrency, Price Forecasting, Machine Learning, LSTM, Sentiment Analysis, Bitcoin, Ethereum, Deep Learning
Paper Title: Review On Bhimarudro Rasa
Author Name(s): Dr. Shivani V. Kotmire, Dr. Manohar Khankhane
Published Paper ID: - IJCRT2410533
Register Paper ID - 271167
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410533 and DOI :
Author Country : Indian Author, India, 411028 , Pune, 411028 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410533 Published Paper PDF: download.php?file=IJCRT2410533 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410533.pdf
Title: REVIEW ON BHIMARUDRO RASA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e533-e537
Year: October 2024
Downloads: 258
E-ISSN Number: 2320-2882
Agada tantra is a subject which deals with various poisons and its treatment. For the management of different poisons many formulations are mentioned in the treatises of Ayurveda. One such Agada yoga that is mentioned in the context of snake bite management is Bhimarudro Rasa mention in Bhaishajya Ratnavali on treatment of snake bite and treat the sever conditions occurs due to intake of poison. It contains eleven ingredients including three Kritrim Visha, three Sthavar Visha and five herbs. The easy availability of the ingredients and simplicity of the preparation and preservation of the formulation may encourage the physician to use this formulation in poisoning conditions. So, an effort has been made to review this formulation in order to its pharmacological properties for its medicinal use
Licence: creative commons attribution 4.0
Agad tantra, Bhimrudro Rasa, Snake bite, Poison
Paper Title: Sustainable Paper Bag Manufacturing From Cassava Skin For Eco-Friendly Textiles
Author Name(s): T.VINITHA, S.VAISHNAVI, A.S.UVASHREE, S.NAVEENA, S.SIVASANKARI
Published Paper ID: - IJCRT2410532
Register Paper ID - 270543
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410532 and DOI :
Author Country : Indian Author, India, 637215 , Tiruchengode , 637215 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410532 Published Paper PDF: download.php?file=IJCRT2410532 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410532.pdf
Title: SUSTAINABLE PAPER BAG MANUFACTURING FROM CASSAVA SKIN FOR ECO-FRIENDLY TEXTILES
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e528-e532
Year: October 2024
Downloads: 282
E-ISSN Number: 2320-2882
This project develops an eco-friendly process to extract cellulose fibers from tapioca skin, a waste material from cassava processing. The optimized pretreatment and enzymatic extraction methods yield high-quality fibers suitable for textile production. Characterization reveals improved fiber strength, crystallinity, and biodegradability. Sustainable textiles produced from tapioca skin fibers offer a promising alternative to synthetic materials. This innovation valorizes cassava waste, supports local industries, and contributes to environmentally responsible textile manufacturing. The extracted fibers unique properties enhance textile sustainability, providing a green solution for the fashion industry. This study explores the potential of cassava, a tropical root crop, for sustainable product development and fiber manufacturing. Characterization, processing, and utilization of cassava plant by products were investigated for various industrial applications. The research focused on making of value added eco-friendly and sustainable paper bags by using tapioca skin
Licence: creative commons attribution 4.0
Tapioca, fiber extraction, sustainability, paper pulp, eco friendly
Paper Title: THIRUMOOLAR AND VETHATHIRI YOGA : THE TWIN PATHS TO SPIRITUAL MASTERY
Author Name(s): Dr. HEMALATHA MANOHARAN, Ms. B. CHITRALEKA, Dr. V. PONNUSWAMY, Dr. K. PERUMAL
Published Paper ID: - IJCRT2410531
Register Paper ID - 271258
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2410531 and DOI :
Author Country : Indian Author, India, 642001 , Pollachi, 642001 , | Research Area: Life Sciences All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2410531 Published Paper PDF: download.php?file=IJCRT2410531 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2410531.pdf
Title: THIRUMOOLAR AND VETHATHIRI YOGA : THE TWIN PATHS TO SPIRITUAL MASTERY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 10 | Year: October 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Life Sciences All
Author type: Indian Author
Pubished in Volume: 12
Issue: 10
Pages: e524-e527
Year: October 2024
Downloads: 394
E-ISSN Number: 2320-2882
The ancient art of Yoga is a treasure to the world from Indian Sub Continent. Great yogic philosophers from time immemorial have contributed to develop the tradition of Yoga. Siddhar Thirumoolar and Shri Vethathiri Maharishi are two such philosophers. Their main purpose of life are to create a concrete system of yoga, which will render the upliftment of spiritual consciousness in mankind. Thirumoolar gave the great treatise of all time "Thirumandiram'. This epic is beyond any specific philosophy. It encompasses many yogic tradition and mysticism. It is also called as Mandira Malai (Garland of Manthras). Payiram is the first part of the Thirumanthiram. It is followed by Nine Thanthras. So, totally there are 230 sections comprising of 3047 verses. Thirumanthiram explains the three realities of Saiva Siddhantha: Pathi, Pasu, Pasam. He elaborates four ways to reach God Chariya, Kriya, Yoga and Gnana. Vethathirian philosophy is a precious gem which advocates world peace through individual peace. Vethathiri Maharishi gives a scientific methodology to attain liberation also known as Self Realisation. His teachings comprises of physical health, mental tranquility, kayakalpa yoga and introspection. Both the legends have preached mindfulness, restraining from causing injury to others through thought, word and deed. They have dealt in detail regarding the spiritual progress in a Sadaka, by subduing the senses and sublimation of the six base traits. The vethathirian yoga instructs about the kayakalpa yoga, which is considered as the unique concept of Kundalini Yoga. Thirumanthiram includes mantra chanting, Astanga Yoga, Kechari Yoga, Bariyanga Yoga, Amuri Dharanai and many other yogic techniques. Thirumanthiram is an elaborate mystical text, whereas vethathirian yoga system of SKY system briefly explains the four pillars known as SKY exercises, Meditation, Kayakalpa and Introspection which are the code of spirituality. In this modern era of scientific temperament and technological innovations, spirituality should be made simple and compatible to the regular routine of individual. In this context the practices designed by Vethathiri Maharishi could be a best solution to regulate the life style of the present population.
Licence: creative commons attribution 4.0
Astanga Yoga - Kechari Yoga - Bariyanga Yoga- Amuri Dharanai - Manthras - SKY Exercises - Meditation - Kayakalpa - Introspection

