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: Formulation and Evaluation of Poly Herbal Fruit Face Mask By Using Natural Ingredient
Author Name(s): Ravi Pandeet Rathod, Mr.H.N. Ghule, Dr. Prachi Udanpurkar
Published Paper ID: - IJCRT23A5362
Register Paper ID - 238437
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5362 and DOI :
Author Country : Foreign Author, India, 431501 , Jalna, 431501 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5362 Published Paper PDF: download.php?file=IJCRT23A5362 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5362.pdf
Title: FORMULATION AND EVALUATION OF POLY HERBAL FRUIT FACE MASK BY USING NATURAL INGREDIENT
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Foreign Author
Pubished in Volume: 11
Issue: 5
Pages: l423-l427
Year: May 2023
Downloads: 377
E-ISSN Number: 2320-2882
The formulation and evaluation of a polyherbal fruit face mask using natural ingredients were conducted with the aim of creating an effective and safe skincare product. A selection of herbs and fruits known for their beneficial properties for the skin, such as aloe vera, cucumber, lemon, turmeric, papaya, and orange,
Licence: creative commons attribution 4.0
Face mask, Banana, Papaya, Evaluation, Particle size, Propionibacterium acnes
Paper Title: Machine Learning-Based Technique to Detect SQL Injection Attack
Author Name(s): Vishal Sherkhane, Aamir Tadasarkar, Akshay Shivpure, Suresh Rathod, Prof. Mrs.Vina M. Lomte
Published Paper ID: - IJCRT23A5361
Register Paper ID - 238700
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5361 and DOI :
Author Country : Indian Author, India, 411041 , pune, 411041 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5361 Published Paper PDF: download.php?file=IJCRT23A5361 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5361.pdf
Title: MACHINE LEARNING-BASED TECHNIQUE TO DETECT SQL INJECTION ATTACK
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l417-l422
Year: May 2023
Downloads: 368
E-ISSN Number: 2320-2882
Lack of secure codes implemented in the web apps will lead to cyber- attack because of vulnerabilities. The statistic shows that highest record on the data theft related cyber-attacks are through the SQL injection technique. Hence, an effective SQL injection detection is needed in any web system to combat this threat. In this research, machine learning technique is used where training is provided to the SQL injection detector using a training data and then is evaluated against a testing data. The research relies on the preparation of the training and testing datasets. Training sets are used by the detector to establish the knowledge base and the test set is used to evaluate the performance of the detector. The result of the detection shows that the proposed technique produces high accuracy in recognizing malicious and begin web requests.
Licence: creative commons attribution 4.0
Machine Learning, Signature-Based, Knowledge-Based, SQL Injection, SQL Injection Tools
Paper Title: SPEECH AND EMOTION RECOGNITION OVER FUSION OF VISUAL AND VOCAL EXPRESSION USING AI
Author Name(s): SHIFA H KHAN, GAURAV GOLECHA, AKANKSHA BODEKAR, Bhagyashree Khandagale
Published Paper ID: - IJCRT23A5360
Register Paper ID - 238701
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5360 and DOI :
Author Country : Indian Author, India, 411023 , Pune, 411023 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5360 Published Paper PDF: download.php?file=IJCRT23A5360 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5360.pdf
Title: SPEECH AND EMOTION RECOGNITION OVER FUSION OF VISUAL AND VOCAL EXPRESSION USING AI
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l406-l416
Year: May 2023
Downloads: 413
E-ISSN Number: 2320-2882
Speech and emotion recognition over fusion of visual and vocal expression using artificial intelligence is a rapidly evolving field of research that aims to develop intelligent systems capable of accurately interpreting human emotions based on a combination of audio and visual cues. In this approach, computer vision, speech processing, and machine learning techniques are combined to analyze human behavior and emotions. This paper provides an overview of the techniques and challenges involved in speech and emotion recognition over fusion of visual and vocal expression using artificial intelligence. It also highlights some of the potential applications of these systems in healthcare, education, and customer service. Despite recent advancements in the field, there are still challenges to be addressed, such as the variability of emotions across different individuals and cultures, and the lack of standardization in emotion labeling. Overall, the potential benefits of these systems are vast, and with continued research and development, they have the potential to significantly improve our understanding of human emotions and behavior. In the field of artificial intelligence and machine learning, speech recognition and emotion recognition are two exciting issues. Speech recognition refers to a computer's ability to understand and transcribe spoken language, whereas emotion recognition refers to a computer's ability to recognise and classify the emotions expressed by a person through their speech.
Licence: creative commons attribution 4.0
Sentiment Detection, Text Sentiment Analysis, Convolutional Neural Network, Natural Language Processing, Facial Emotion Recognition, Support Vector Classifier, World Health Organization.
Paper Title: Government Fund Allocation Using Blockchain
Author Name(s): Jay Jagtap, Pradhumna Jadhav, Rushikesh Wanjale, Ninad Mane, Hema Kumbhar
Published Paper ID: - IJCRT23A5359
Register Paper ID - 238650
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5359 and DOI :
Author Country : Indian Author, India, 411028 , Pune, 411028 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5359 Published Paper PDF: download.php?file=IJCRT23A5359 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5359.pdf
Title: GOVERNMENT FUND ALLOCATION USING BLOCKCHAIN
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l400-l405
Year: May 2023
Downloads: 401
E-ISSN Number: 2320-2882
Governments need to cater to a huge number of responsibilities of a state. The working of state governments involves huge number of transactions towards various operations that need to be carried out throughout the state. This includes new projects, repair and maintenance works, awarding contracts, paying of government employees, farmer schemes and so on. A major obstacle that the top government face is the low level corruption that is sometimes not possible to track which deprives the state progress. Tracking it is a very complicated task due to the current system. But in proposed system we overcome this drawbacks by using block chain approach. We here make use of blockchain technology to secure the transactions at every stage while maintaining transparency in every transaction sealing every transaction with proofs as the funds move ahead. Blockchain is an evolving technology that maintains a chain of records known as blocks, connected through cryptography. Each block contains a unique identifier (cryptographic hash) of the previous block, a timestamp, and transaction data. The inherent design of a blockchain ensures that the data stored within it is highly resistant to unauthorized modifications. The proposed system focuses on enabling the tracking of funds allocated to the government throughout the entire allocation process. To ensure secure communication, key pair generation algorithms will be employed, enabling the establishment of trusted channels between relevant entities involved in fund allocation. Key pairs consist of a public key for secure data sharing and a private key for authentication and decryption. Moreover, metadata file decryption algorithms will be used to securely decrypt encrypted metadata associated with fund allocation transactions. This process allows authorized entities to verify transaction details, contributing to a higher level of transparency in the fund allocation process. Additionally, data verification algorithms will be implemented to ensure the integrity and authenticity of data stored within the blockchain. These algorithms play a crucial role in preventing unauthorized modifications to the blockchain records, preserving the immutability of the data By combining these proposed algorithms and harnessing the power of blockchain technology, this project aims to enhance the security, transparency, and integrity of government fund allocation. The utilization of key pair generation, metadata file decryption, and data verification algorithms enables efficient and accountable fund allocation within the government system.
Licence: creative commons attribution 4.0
Blockchain, HyperLedger, Security, Transparency, Encryption, Government Funds, Cryptography, AES
Paper Title: A REVIEW ON HERBAL CREAM AND SOME PLANT USING FOR HERBAL CREAM FORMULATION
Author Name(s): Rajendra Gurjar, Dr. Hariom Sharma, Anil Sharma, Manmohan Sharma, Shreyasi
Published Paper ID: - IJCRT23A5358
Register Paper ID - 238654
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5358 and DOI :
Author Country : Indian Author, India, 304021 , Tonk, 304021 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5358 Published Paper PDF: download.php?file=IJCRT23A5358 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5358.pdf
Title: A REVIEW ON HERBAL CREAM AND SOME PLANT USING FOR HERBAL CREAM FORMULATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l392-l399
Year: May 2023
Downloads: 430
E-ISSN Number: 2320-2882
The herbal formulations those when natural herbs and their products used for their aromatic value in formulation development among consumers for herbal products triggered the demand for natural products and natural extracts in many preparations. Creams are a semisolid preparation that is for external application with friction. They are applied directly on the skin with the help of some absorbent material and uses medicinally as well as cosmetics. The focus of the present review is some describe and details about herbal cream and common herbal plant which is uses for herbal cream formulation development.
Licence: creative commons attribution 4.0
Herbal Cosmetic, Herbal cream, Herbal formulation, herbal plant.
Paper Title: News Classification And Recommendation Using Naive Bayes Classifier
Author Name(s): Himanshu Bhaurao Chaudhari, Mayur Gajanan Kotkar, Aditya Surendra Pardeshi, Pratik Vijay Ukarde, Smita N. Chaudhari
Published Paper ID: - IJCRT23A5357
Register Paper ID - 238592
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5357 and DOI :
Author Country : Indian Author, India, 422003 , Nashik, 422003 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5357 Published Paper PDF: download.php?file=IJCRT23A5357 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5357.pdf
Title: NEWS CLASSIFICATION AND RECOMMENDATION USING NAIVE BAYES CLASSIFIER
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l387-l391
Year: May 2023
Downloads: 368
E-ISSN Number: 2320-2882
News publishers have decreased spreading news through conventional newspapers and have migrated to the use of digital media. Therefore, there exists a large amount of information being stored in the electronic format which needs to be classified into different categories because there may be present some sensitive data which is not suitable for specific age group. In this project, machine learning algorithms are used for classifying news by using a dataset. By evaluating the accuracy of Linear regression, Naive Bayes algorithm, Logistic regression and Decision tree algorithm and performing comparative analysis of all mentioned algorithms we are going to select the algorithm which provides the maximum accuracy. Also suggesting news articles to the online news reader based on the similarity of a news article with the news they are reading or proposing news articles based on the interest of news reader subjected from their previous readings and the feedback of the reader. After implementing and comparing the accuracy of all Machine Learning models, Naive Bayes Model gave the highest accuracy and lower error percentage. So, Naive Bayes Model is used for training the model and to get required result.
Licence: creative commons attribution 4.0
Naive Bayes algorithm, Comparative analysis, Decision tree algorithm.
Paper Title: Hyper Automation
Author Name(s): Malek Fayzan Husain, Shaikh Aaftab Husain
Published Paper ID: - IJCRT23A5356
Register Paper ID - 238508
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5356 and DOI :
Author Country : Indian Author, India, 390017 , Vadodara, 390017 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5356 Published Paper PDF: download.php?file=IJCRT23A5356 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5356.pdf
Title: HYPER AUTOMATION
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l382-l386
Year: May 2023
Downloads: 350
E-ISSN Number: 2320-2882
Hyper Automation is a true digital transformation with the help of advanced techniques such as Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI). It automates complicated business processes, even where topic specialists were formerly needed. This is an expansion to the processes of traditional business-process automation. Hyper Automation allows automation to do virtual tasks performed by business people by merging AI technologies with RPA.
Licence: creative commons attribution 4.0
1. Increasing the competency of the workforce 2. Employee Upskilling 3. Systems Integration 4. Advanced Analytics 5. Improved Productivity
Paper Title: Formulation and Evaluation of Herbal Scrub
Author Name(s): AKSHAY LAXMAN JADHAV
Published Paper ID: - IJCRT23A5355
Register Paper ID - 238432
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5355 and DOI :
Author Country : Indian Author, India, 431212 , Mahakala, 431212 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5355 Published Paper PDF: download.php?file=IJCRT23A5355 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5355.pdf
Title: FORMULATION AND EVALUATION OF HERBAL SCRUB
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l378-l381
Year: May 2023
Downloads: 432
E-ISSN Number: 2320-2882
The main objective of present study was to prepare a herbal scrub incorporated into gel. The use of natural ingredients to fight against acne, wrinkle and also to control secretion of oil is known as natural or herbal cosmetics. Herbal cosmetically usually contain the plant parts which possess antimicrobial, antioxidant and anti aging properties. Herbal cosmetics are the safest product to use routine with no side effects and cosmeceuticals are the product which influences the biological function of skin. In this preparation coffee, Aloe vera , honey is used. The prepared gel was evaluated for various parameters such as appearance, pH, viscosity, Spreadability, washability, irritability and found to be satisfied with all required characterizations. Thus, the developed formulation can be used as an effective scrub for using it to bear a healthy and glowing skin.
Licence: creative commons attribution 4.0
Herbal Scrub, Tamarind Powder, Multani Mitti, Rose Water, Scrub.
Paper Title: Formulation And Evaluation Of Polyherbal Scrub
Author Name(s): Lalikesh khartade, C.G.Kute, Dr. Prachi Udanpurkar
Published Paper ID: - IJCRT23A5354
Register Paper ID - 238446
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5354 and DOI :
Author Country : Indian Author, India, 445301 , Yavatmal, 445301 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5354 Published Paper PDF: download.php?file=IJCRT23A5354 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5354.pdf
Title: FORMULATION AND EVALUATION OF POLYHERBAL SCRUB
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l373-l377
Year: May 2023
Downloads: 381
E-ISSN Number: 2320-2882
To remain healthy and appear good, the skin surface requires periodic cleansing to remove dirt, sebum and other secretions. Use of chemical based cosmetics causes deterioration of skin. In present scenario herbal cosmetics have more demand because they have no side effects. For the removal of acne, whiteheads, blackheads scrubbing is essential. In our present study we have formulated scrub using turmeric, charcoal, aloe vera, honey, green tea, lemon juice, walnut, SLS, potato starch.
Licence: creative commons attribution 4.0
OBJECTIVE, NATURAL PRODUCT, DRUG PROFILE, METHOD OF PREPARATION.
Paper Title: Formulation And Evaluation Of Polyherbal Handwash
Author Name(s): KRUSHANA ASHOK NAVGHARE, GHODKE P.L, Dr. Prachi Udanpurkar
Published Paper ID: - IJCRT23A5353
Register Paper ID - 238442
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT23A5353 and DOI :
Author Country : Indian Author, India, 444505 , WASHIM, 444505 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT23A5353 Published Paper PDF: download.php?file=IJCRT23A5353 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT23A5353.pdf
Title: FORMULATION AND EVALUATION OF POLYHERBAL HANDWASH
DOI (Digital Object Identifier) :
Pubished in Volume: 11 | Issue: 5 | Year: May 2023
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 11
Issue: 5
Pages: l369-l372
Year: May 2023
Downloads: 350
E-ISSN Number: 2320-2882
The aim of the present study is to formulate and evaluate herbal hand wash gel by Using extracts of Azadirachta indica (neem powder), Ocimum tenuiflorum (Tulasi powder), Mentha (mint powder), Syzygium aromaticum (clove oil), Sapindus mukorossi (rithapowder), carbolpol 940 (gelling agent), methyl Paraben (preservative), Glycerin (softening agent), distilled water, (vehicle), Turmeric (colorant),Rose oil (perfume), Saponin Extract. To select the plant materials. To extract powders from plants by air drying method to get particle free extract. To prepare herbal hand was gel by using suitable agents. To evaluate herbal hand wash gel.
Licence: creative commons attribution 4.0
Azadirachta indica, Ocimum tenuiflorum , Mentha, Syzygium aromaticum, Sapindus mukorossi, carbolpol 940, methyl Paraben

