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: An Arduino Based Alcohol, Drowsiness and GPS Detection
Author Name(s): Cheepurupalli Krishna Chaitanya, Pilla Likhitha Sri, Ellapu Yagna Varahala Rao
Published Paper ID: - IJCRT2406202
Register Paper ID - 263332
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406202 and DOI :
Author Country : Indian Author, India, 530027 , Visakhapatnam, 530027 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406202 Published Paper PDF: download.php?file=IJCRT2406202 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406202.pdf
Title: AN ARDUINO BASED ALCOHOL, DROWSINESS AND GPS DETECTION
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b861-b866
Year: June 2024
Downloads: 12
E-ISSN Number: 2320-2882
An innovative approach to enhancing road safety by integrating multiple functionalities into a single Arduino-based system. With a focus on preventing accidents caused by alcohol impairment and driver drowsiness, our solution combines alcohol detection sensors and drowsiness detection technology to monitor the driver's condition in real-time. Utilizing the Arduino Uno platform ensures cost-effectiveness and ease of implementation, making it accessible for widespread adoption. In addition to the safety features, our system incorporates GPS navigation capabilities, enabling drivers to receive real-time navigation guidance via GSM communication. By leveraging the capabilities of Arduino Uno and integrating alcohol detection, drowsiness detection, and GPS navigation, the project aims to significantly reduce the incidence of road accidents caused by impaired or fatigued driving, thereby improving overall road safety and saving lives.
Licence: creative commons attribution 4.0
Arduino uno, Alcohol, Drowsiness, GPS, GSM
Paper Title: DESIGN AND FABRICATION OF SOLAR POWERED VAPOUR COMPRESSION REFRIGERATION SYSTEM
Author Name(s): MUNISH, Vivek sharma
Published Paper ID: - IJCRT2406201
Register Paper ID - 263240
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406201 and DOI :
Author Country : Indian Author, India, 140301 , Kharar, 140301 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406201 Published Paper PDF: download.php?file=IJCRT2406201 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406201.pdf
Title: DESIGN AND FABRICATION OF SOLAR POWERED VAPOUR COMPRESSION REFRIGERATION SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b856-b860
Year: June 2024
Downloads: 12
E-ISSN Number: 2320-2882
The paper will tell us about the working principle of the vapour compression cycle, explaining how conversion of sunlight into electricity powers the compressor, enabling the circulation of refrigerant and creation of cool temperatures within a designated space. key components of the system, including solar panels, battery storage, inverter, and the vapour compression unit itself, will be discussed.
Licence: creative commons attribution 4.0
Paper Title: Role Of Mental Health In The Empowerment Of Women In India
Author Name(s): Dr.Somya
Published Paper ID: - IJCRT2406200
Register Paper ID - 263046
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406200 and DOI :
Author Country : Indian Author, India, 834003 , Ranchi, 834003 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406200 Published Paper PDF: download.php?file=IJCRT2406200 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406200.pdf
Title: ROLE OF MENTAL HEALTH IN THE EMPOWERMENT OF WOMEN IN INDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b852-b855
Year: June 2024
Downloads: 15
E-ISSN Number: 2320-2882
Mental Health and Woman empowerment share the same platform of their objectives. They are not only concerned with the enhancement of performance and wellbeing. A healthy women can play in the important role of the country. Health is milestone of women empowerment because it enables them to response to the challenges and change their life so that we can't neglect the importance of health in reference to women empowerment India poised to becoming superpower to recent upcoming years. women health in India has been a need of the hour as health is a foundation stone for the empowerment of women. Mental health also brings a reduction in inequalities and functioning as a means of improving their status within the family and develops the concept of participation.
Licence: creative commons attribution 4.0
Mental health, Milestone, Women Empowerment.
Paper Title: DESIGN AND FABRICATION OF VIOLENT ACTION RECOGNITION OF HUMAN USING DRONES: AN OVERVIEW
Author Name(s): Tejas R U, Sujeeth R K, Thanish chinnappa KC, Tanisha Vernekar, Sagar K G
Published Paper ID: - IJCRT2406199
Register Paper ID - 263303
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406199 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406199 Published Paper PDF: download.php?file=IJCRT2406199 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406199.pdf
Title: DESIGN AND FABRICATION OF VIOLENT ACTION RECOGNITION OF HUMAN USING DRONES: AN OVERVIEW
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b838-b851
Year: June 2024
Downloads: 6
E-ISSN Number: 2320-2882
Novel approaches are required in defence applications due to the increasing demand for real-time threat identification. The design and construction of a Violent Action Recognition (VAR) system coupled with a drone platform are examined in this research. We provide a summary of this technology, highlighting its potential to enhance defence personnel's situational awareness and force protection. The high-resolution camera, on-board processing unit, and drone platform are among the hardware parts of the system that are described in detail in the study. We go over the software architecture, emphasizing the machine learning-based core VAR algorithm, pre-processing, and image acquisition. The article discusses the fabrication considerations involved in incorporating these components into a working drone system. The potential advantages of this drone system with VAR equipment are highlighted in the study. Improved threat detection skills are one of these; they enable quicker reaction times and may even avoid casualties. Defence forces' operational efficiency and decision-making can be improved by using VAR drones, which provide a comprehensive and real-time perspective of a scenario. The final section of this analysis emphasizes the continued research and development needed for enhanced VAR technology. Careful attention should also be paid to ethical issues pertaining to data protection and the responsible usage of autonomous systems. VAR technology has the potential to completely transform drone-based surveillance in the defence industry, creating a more effective and safe operating environment as it advances.
Licence: creative commons attribution 4.0
Violent Action Recognition (VAR), Drone Technology, Situational Awareness, Machine Learning, Image Processing, Drone Platform, High-Resolution Camera, On-board Processing Unit, Software Architecture, Image Acquisition, Pre-processing, Threat Detection, Force Protection, Operational Efficiency.
Paper Title: IN-VITRO ASSESSMENT OF ANTIBACTERIAL, ANTIOXIDANT AND TOXICITY STUDIES OF AGARICUS BISPORUS WITH MUSHROOM COFFEE FORMULATION
Author Name(s): Mr.Ganu Gavade, Ms.Rutuja Patil, Ms.Nikita Dalavi, Ms.Snehal Salokhe
Published Paper ID: - IJCRT2406198
Register Paper ID - 263247
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406198 and DOI :
Author Country : Indian Author, India, 590010 , Belgaum, 590010 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406198 Published Paper PDF: download.php?file=IJCRT2406198 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406198.pdf
Title: IN-VITRO ASSESSMENT OF ANTIBACTERIAL, ANTIOXIDANT AND TOXICITY STUDIES OF AGARICUS BISPORUS WITH MUSHROOM COFFEE FORMULATION
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b828-b837
Year: June 2024
Downloads: 6
E-ISSN Number: 2320-2882
Development of some novel value added products were undertaken from the fresh-dried mushroom [Agaricus bisporus]. In this context, an attempt was made to evaluate antibacterial, antioxidant and cytotoxic activity of ethanolic extract of Agaricus bisporus. Dried coarse powder of mushroom was subjected to extraction with ethanol by cold maceration and then evaporated using electric water bath. Stock solution of the extract was prepared using distilled water. Preliminary phytochemical screening was carried out. The extract was evaluated for Antibacterial activity by agar well diffusion method, antioxidant activity by DPPH assay and cytotoxicity study by BSL assay. And along with these studies, attempt was made to prepare mushroom coffee.
Licence: creative commons attribution 4.0
Agarius bisporus, 0.2 mM 2, 2-diphenyl-1-picrylhydrazyl (DPPH), Brine Shrimp Lethality assay (BSL), agar well diffusion, and Mushroom coffee.
Paper Title: Blockchain-Based E-Commerce Warranty System Using NFTs
Author Name(s): Ankita Ludbe, Sakshi Pandharipande, Heeba Imtiyaz, Prof. Kumud Wasnik
Published Paper ID: - IJCRT2406197
Register Paper ID - 263219
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406197 and DOI :
Author Country : Indian Author, India, 400049 , Mumbai, 400049 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406197 Published Paper PDF: download.php?file=IJCRT2406197 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406197.pdf
Title: BLOCKCHAIN-BASED E-COMMERCE WARRANTY SYSTEM USING NFTS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b822-b827
Year: June 2024
Downloads: 7
E-ISSN Number: 2320-2882
The use of Non-Fungible Tokens (NFTs) in online markets can help solve several challenges related to buying and selling products online, especially luxury or high-end items. These challenges often revolve around concerns about authenticity. Digital warranties provided through NFTs can offer customers greater confidence while making purchases by providing information about the item's history, warranty, and other details. When a customer transacts using our application, the NFTs associated with the purchased item are sent to their account. Asset tokenization, where NFTs represent trading assets, can help combat the proliferation of fake goods. By implementing digital warranties, brands can better protect against counterfeit products. Consumers may be more inclined to choose authentic products if digital warranties become a standard practice in the industry, signaling that products without an NFT-backed guarantee are likely not genuine. Some merchants may request assurances from franchises of brands, allowing retailers to source certified imports from other countries even without the explicit consent of the brand. Brands can also collaborate to adopt digital warranty solutions and address counterfeiting issues in the industry. However, widespread adoption of this solution within the broader blockchain community is still lacking, and challenges persist despite the significant potential of NFTs, which are experiencing rapid growth in the marketplace
Licence: creative commons attribution 4.0
NFT, Blockchain, Tokens, Warranty
Paper Title: Reinforcement Game Learner
Author Name(s): Madhura M. Raste, Asmita D. Waghmare, Sanika S. Patil, Prajakta G. Nannikar, Snehal S. Vhankhande
Published Paper ID: - IJCRT2406196
Register Paper ID - 262210
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406196 and DOI :
Author Country : Indian Author, India, 416304 , Sangli, 416304 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406196 Published Paper PDF: download.php?file=IJCRT2406196 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406196.pdf
Title: REINFORCEMENT GAME LEARNER
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b814-b821
Year: June 2024
Downloads: 15
E-ISSN Number: 2320-2882
This paper explores the application of advanced Reinforcement Learning (RL) techniques in developing intelligent game-playing AI. By implementing Deep Q-Networks (DQN) and other Deep Reinforcement Learning (DRL) methods, this research aims to enhance AI proficiency across various gaming environments, including 2048, chess, and a simulated taxi driver scenario. We highlight key objectives, methodologies, and outcomes, while also addressing the challenges and proposing future directions in the field of RL for gaming AI.
Licence: creative commons attribution 4.0
Reinforcement Learning, Q-learning, Deep Q-Networks, Game AI, Machine Learning.
Paper Title: Formulation and evaluation of herbal face cream
Author Name(s): Swati P. Jamathe, Poja G. Sakharkar, Mukta S Gawande
Published Paper ID: - IJCRT2406195
Register Paper ID - 262962
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406195 and DOI :
Author Country : Indian Author, India, 445203 , Digras, 445203 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406195 Published Paper PDF: download.php?file=IJCRT2406195 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406195.pdf
Title: FORMULATION AND EVALUATION OF HERBAL FACE CREAM
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b802-b813
Year: June 2024
Downloads: 18
E-ISSN Number: 2320-2882
Abstract : The formulation and evaluation of herbal face cream aim to harness the therapeutic properties of natural ingredients for skincare. This study focuses on developing a face cream that combines the benefits of various herbal extract known for their antioxidant,anti-inflammatory and moisturizing properties.Ingredients such as Aloevera ,amla ,cucumber peel were selected for their well -documented skincare benefits. Aloe vera , amla , cucumber peel are medicinal plant they are used as traditionally from ancient year in various herbal medicines such Ayurveda, Siddha and Homoeopathic. Cosmetics and some medicinal products are made up from the mucilaginous tissue in the centre of aloe vera leaf and called aloe vera gel. Aloe vera gel contains no antraquinone. Which are responsible for the strong laxative affects of aloes. However ,total leaf extract may contain Antraquinone. Aloe vera contain active constituents like Vitamines, Enzymes, Minerals ,Sugars,Saponis,Amino acids .Amla contain Amino acid like glutamic acid , proline, ans Asparic acids , Protein, Minerals,etc. Cucumber peel are rich in fiber and contains minerals like magnesium, Potassium and silica. The silica is an essential components to keep your muscles,bones and tendons healthy. It also hydrates our skin, improves complexion and vision.
Licence: creative commons attribution 4.0
Alovera, amla , cucumber peels , face cream , evaluation
Paper Title: FORMULATION AND EVALUATION OF IMMUNITY BOOSTING POLY-HERBAL DRINK
Author Name(s): Aashish Pal, Dr. Jaya Martolia
Published Paper ID: - IJCRT2406194
Register Paper ID - 263344
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406194 and DOI :
Author Country : Indian Author, India, 271215 , Balrampur, 271215 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406194 Published Paper PDF: download.php?file=IJCRT2406194 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406194.pdf
Title: FORMULATION AND EVALUATION OF IMMUNITY BOOSTING POLY-HERBAL DRINK
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b788-b801
Year: June 2024
Downloads: 9
E-ISSN Number: 2320-2882
The creation of poly herbal formulations aimed at immune improvement is a result of the growing interest worldwide in natural products for improving immunity. Our goal in this study was to create and assess a poly herbal drink that would increase immunity by using extracts from specific medicinal herbs that have been shown to have immune-modulating qualities.
Licence: creative commons attribution 4.0
Immunity booster, polyherbal, Immuni-modulatory, in-vivo, synergistic.
Paper Title: Accident detection system using deep learning and edge computing
Author Name(s): Nithyashree N, Niveditha S, Pramithashree KM, Jyothi K, Dr Suresha D
Published Paper ID: - IJCRT2406193
Register Paper ID - 263277
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2406193 and DOI :
Author Country : Indian Author, India, 560073 , Bengaluru City, 560073 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2406193 Published Paper PDF: download.php?file=IJCRT2406193 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2406193.pdf
Title: ACCIDENT DETECTION SYSTEM USING DEEP LEARNING AND EDGE COMPUTING
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 6 | Year: June 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 6
Pages: b783-b787
Year: June 2024
Downloads: 13
E-ISSN Number: 2320-2882
- In this research, we present an innovative Accident Detection and Alert System that combines Deep Learning (DL) and Edge Computing technologies. The system is designed to process live video feeds from surveillance cameras using DL models to detect traffic accidents in real-time. By leveraging edge computing, the system performs data processing near the data source, which significantly reduces latency and enables faster response times. Upon detecting an accident, the system autonomously alerts emergency services, thereby improving the efficiency of rescue operations. This seamless integration of DL and edge computing enhances the accuracy and speed of accident detection, which is vital for reducing the severity of injuries and saving lives on the road.
Licence: creative commons attribution 4.0
Edge Computing, Deep learning, CCTV, Video processing, CNN