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: Food Image Detection and Calorie Calculation Using Deep Learning
Author Name(s): ANOOP KRISHNAN P, PRAMOD K
Published Paper ID: - IJCRT2504148
Register Paper ID - 281154
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504148 and DOI :
Author Country : Indian Author, India, 678598 , PALAKKAD, 678598 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504148 Published Paper PDF: download.php?file=IJCRT2504148 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504148.pdf
Title: FOOD IMAGE DETECTION AND CALORIE CALCULATION USING DEEP LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b214-b224
Year: April 2025
Downloads: 149
E-ISSN Number: 2320-2882
The increasing demand for health and fitness applications has driven the development of AI- powered systems for food recognition and calorie management. This project utilizes Convolutional Neural Networks (CNN) and Artificial Intelligence (AI) to create a robust food image detection and calorie calculation platform. The system allows users to upload images of food, which are processed using a CNN model trained to recognize a wide variety of food items. Once the food is identified, users can input additional details such as portion size, ingredients, drinks, or preparation method to enhance the accuracy of the calorie estimation. The core functionality of the system revolves around accurate food recognition through CNNs, which are well-suited for image classification tasks. The network is trained on a large dataset of labeled food images to classify the food items and estimate their nutritional content. Based on the identified food, the system calculates the total calorie count using a deep learning model integrated with a nutritional database. In addition to calorie calculation, the system provides personalized exercise recommendations based on the user's calorie intake. By leveraging AI algorithms, the platform suggests various types of exercises (e.g., running, cycling, yoga) and the duration needed to burn the calories consumed, ensuring that users can make informed decisions about their physical activity to maintain a healthy lifestyle. The system can access this information via a Google Gemini API or the pre-trained LLAMA model from Hugging Face for more complex, real-time conversational interactions. This platform not only provides accurate food detection and calorie tracking but also empowers users to make healthier choices by offering actionable insights for maintaining balance between calorie intake and expenditure. The integration of AI technologies ensures a seamless, interactive, and personalized experience for the end-users.
Licence: creative commons attribution 4.0
Mask R-CNN, ROI (Region of Interest), IOU (Intersection Over Union), and Resnet 50
Paper Title: REASONS MOTIVATING STUDENTS ENGAGEMENT IN MYSORE
Author Name(s): Dr.Swathi.S
Published Paper ID: - IJCRT2504147
Register Paper ID - 281170
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504147 and DOI :
Author Country : Indian Author, India, 570006 , Mysore, 570006 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504147 Published Paper PDF: download.php?file=IJCRT2504147 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504147.pdf
Title: REASONS MOTIVATING STUDENTS ENGAGEMENT IN MYSORE
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b206-b213
Year: April 2025
Downloads: 126
E-ISSN Number: 2320-2882
The paper focus on student's engagement. Employee engagement is the level of enthusiasm, responsibility, and energy they bring to their jobs. To understand how students can be motivated to learning is the main agenda of the study. When they are young, students face a lot of distractions, making it difficult for them to comprehend why they should study. The primary and secondary data is used in preparing the paper. Google forms are used to collect data. 55 convenient samples are used in the paper. MBA student from Mysore are taken. to understand what drives students to learn. Percentage analysis is used to analyze the data. Good friends, Daily learning , extra curricular activities, Positive environment, effective teaching, PPT and interactive method are factors that encourage students to keep engaged learning.
Licence: creative commons attribution 4.0
Good friends, Student engagement, Extra curricular activities, Positive environment and effective teaching.
Paper Title: Elevating Image Resolution Using Deep And Shallow Network
Author Name(s): Thota Sandeep, Kolla Hima Ganesh, Talasila Ayyappa, Rajolu Bala Venkata Sai, Prathipati SivaKrishna
Published Paper ID: - IJCRT2504146
Register Paper ID - 281166
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504146 and DOI :
Author Country : Indian Author, India, 521002 , Machilipatnam, 521002 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504146 Published Paper PDF: download.php?file=IJCRT2504146 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504146.pdf
Title: ELEVATING IMAGE RESOLUTION USING DEEP AND SHALLOW NETWORK
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b201-b205
Year: April 2025
Downloads: 118
E-ISSN Number: 2320-2882
Image Super-Resolution (ISR) is a critical problem in computer vision aimed at reconstructing high resolution (HR) images from degraded low-resolution (LR) counterparts. In this paper, we present a deeplearning-based approach leveraging a Convolutional Neural Network (CNN) architecture known as Super Resolution Convolutional Neural Network (SRCNN) to enhance image quality. The SRCNN model,composed of three convolutional layers, is trained on a large-scale dataset with pre-trained weights to improve the perceptual quality of LR images. The model achieves image enhancement by performing feature extraction, non-linear mapping, and reconstruction, primarily focusing on the Y (Luminance) channel of YCrCb color space to retain color fidelity. We evaluate the performance of the SRCNN model using standard metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Mean Squared Error (MSE). Additionally, we compare the performance of images before and after enhancement using bar graphs for a comprehensive analysis.
Licence: creative commons attribution 4.0
Image Super-Resolution, Convolutional Neural Network, SRCNN, PSNR, SSIM, Deep Learning.
Paper Title: DUSHIVISHA IN CHEMOTHERAPY INDUCED TOXICITY: RECOGNISING THE USUAL SUSPECTS
Author Name(s): Dr. Chitranshi Yadav, Dr. Aayush Soni
Published Paper ID: - IJCRT2504145
Register Paper ID - 281312
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504145 and DOI :
Author Country : Indian Author, India, 243122 , barielly, 243122 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504145 Published Paper PDF: download.php?file=IJCRT2504145 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504145.pdf
Title: DUSHIVISHA IN CHEMOTHERAPY INDUCED TOXICITY: RECOGNISING THE USUAL SUSPECTS
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b194-b200
Year: April 2025
Downloads: 161
E-ISSN Number: 2320-2882
Visha (Poison) is a substance that causes vitiation of seven dhatus on ingestion and can also leads to death. Synthetic toxins, pharmaceutical medications, etc are few of the toxins that can enter the body and turning into visha if they aren't completely cleared out of the body. In Ayurvedic texts, it is called Dushivisha (cumulative toxin). Cytotoxicity is an undesired response to drug delivery in which the drug or an active metabolite causes significant cell damage. Chemotherapy, a cancer treatment in which antineoplastic cytotoxic medications accumulate in the body rather than being completely removed, causes toxicity with signs and symptoms comparable to Dushivisha.
Licence: creative commons attribution 4.0
Dushivisha, cumulative toxicity, chemotherapy toxicity, latent poison.
Paper Title: Infertile Lives: Unpacking the Societal Stigmas and Cultural burden in Perumal Murugan's One Part woman
Author Name(s): Sindu Priya G
Published Paper ID: - IJCRT2504144
Register Paper ID - 281374
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504144 and DOI :
Author Country : Indian Author, India, 624005 , Dindigul , 624005 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504144 Published Paper PDF: download.php?file=IJCRT2504144 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504144.pdf
Title: INFERTILE LIVES: UNPACKING THE SOCIETAL STIGMAS AND CULTURAL BURDEN IN PERUMAL MURUGAN'S ONE PART WOMAN
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b189-b193
Year: April 2025
Downloads: 138
E-ISSN Number: 2320-2882
Perumal Murugan's One Part Woman depicts the lives of a childless couple, exposing the societal stigmas and cultural responsibilities associated with infertility. This study investigates how the novel illustrates the emotional, psychological, and social problems of infertile persons in rural India, underlining how societal expectations, cultural standards, and patriarchal ideals contribute to marginalisation.
Licence: creative commons attribution 4.0
Infertility, Societal Stigmas, Cultural burden, Patriarchy.
Paper Title: Development of on AI-ML-Based Crop and Soil Management Application for Farmers
Author Name(s): Ramya J, Rakshitha N, Tharun Kumar K S, Yogesh P
Published Paper ID: - IJCRT2504143
Register Paper ID - 281392
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504143 and DOI :
Author Country : Indian Author, India, 570029 , Mysuru, 570029 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504143 Published Paper PDF: download.php?file=IJCRT2504143 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504143.pdf
Title: DEVELOPMENT OF ON AI-ML-BASED CROP AND SOIL MANAGEMENT APPLICATION FOR FARMERS
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b184-b188
Year: April 2025
Downloads: 124
E-ISSN Number: 2320-2882
Agriculture is a essential region that faces demanding situations consisting of unpredictable climate situations, soil degradation, and inefficient useful resource control. The Crop and Soil control device is a web-primarily based application designed to assist farmers by means of integrating artificial Intelligence (AI) and gadget getting to know (M L) for precision farming. Th is gadget presents crop yield p rediction, fertilizer pointers, and soil health evaluation to assist farmers make records-pushed selections and imp rove productivity.
Licence: creative commons attribution 4.0
Agriculture portal, AI-based crop predict ion, Machine
Paper Title: Voice Activated Desktop
Author Name(s): Tushar Bhosale, Kajal Tupe, Aishwarya Choudhari, Rutuja Gatkul, Swejal Kobal
Published Paper ID: - IJCRT2504142
Register Paper ID - 281288
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504142 and DOI :
Author Country : Indian Author, India, 410501 , Chakan PUNE, 410501 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504142 Published Paper PDF: download.php?file=IJCRT2504142 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504142.pdf
Title: VOICE ACTIVATED DESKTOP
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b179-b183
Year: April 2025
Downloads: 143
E-ISSN Number: 2320-2882
This project presents the development of an innovative voice-activated desktop system aimed at redefining user interaction with computers. By utilizing cutting-edge voice recognition technologies, the system enables users to control desktop functionalities through intuitive natural language commands. The application is designed to execute tasks such as file operations, application navigation, and online searches, promoting a seamless and hands-free computing experience. Special emphasis is placed on accuracy, user accessibility, and real-time responsiveness. This approach not only enhances productivity but also caters to the needs of individuals with physical disabilities, offering an inclusive solution for modern desktop environments.
Licence: creative commons attribution 4.0
Paper Title: Herbal Guardians Of The Liver: A Comprehensive Review.
Author Name(s): Shreya Gurgude, Aishwarya Halde, Dr. Anilkumar Aher, Samyak Jadhav, Yash Kadu
Published Paper ID: - IJCRT2504141
Register Paper ID - 281434
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504141 and DOI :
Author Country : Indian Author, India, 422002 , Nashik, 422002 , | Research Area: Pharmacy All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504141 Published Paper PDF: download.php?file=IJCRT2504141 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504141.pdf
Title: HERBAL GUARDIANS OF THE LIVER: A COMPREHENSIVE REVIEW.
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Pharmacy All
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b167-b178
Year: April 2025
Downloads: 122
E-ISSN Number: 2320-2882
The liver is an important organ for metabolism and removing harmful substances from the body. However, liver injury and dysfunction are major issues for healthcare, the pharmaceutical industry, and regulatory agencies. The liver can be harmed by various toxic substances, including certain antibiotics, chemotherapy drugs, environmental toxins like carbon tetrachloride and thioacetamide, excessive alcohol, and microbial infections. Current treatments often involve synthetic drugs that may worsen liver damage. Therefore, herbal medicines are gaining interest as potential alternatives for liver disease treatment. These remedies have been used for centuries, and this review aims to provide an overview of effective plant-based phytochemicals tested in liver damage models. The goal is to identify natural compounds that can protect and promote liver health.
Licence: creative commons attribution 4.0
Hepatoprotective, survey, Marketed product, Kalmegh, Milk Thistle, Jewel Orchid, Neem.
Paper Title: Roots of Civilisational Conflicts
Author Name(s): Jasveer Singh
Published Paper ID: - IJCRT2504140
Register Paper ID - 281347
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504140 and DOI :
Author Country : Indian Author, India, India , New delhi, India , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504140 Published Paper PDF: download.php?file=IJCRT2504140 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504140.pdf
Title: ROOTS OF CIVILISATIONAL CONFLICTS
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b160-b166
Year: April 2025
Downloads: 120
E-ISSN Number: 2320-2882
This study is mainly focused on how civilizational conflict develops through multiple layers consisting of language intersecting with identity formation, ethnic divisions, and religious beliefs joined by post-colonial practices. This study highlights how these elements, which tend to stay isolated from each other, share deep connections because powerful entities historically worked to create strict civilizational structures and social hierarchies. The chapter studies how modern conflicts emerged from colonial disruptions of indigenous cultures and foreign governance systems that were enforced upon native populations. This study also challenges the dominance of Eurocentric paradigms in international relations and critiques the tendency to universalize Western experiences as normative. It instead calls for a re-evaluation of how civilizational narratives are constructed, maintained, and contested. Through this framework, the chapter establishes that civilizational conflict is not a clash of fixed identities but a dynamic struggle over meaning, memory, and power in a world still shaped by colonial histories.
Licence: creative commons attribution 4.0
Civilisational conflict, Identity, Religion, Colonialism, Ethnicity and Language
Paper Title: SENSOR MATI
Author Name(s): AISHWARYA C HALEMANI, AISHWARYA JAYARAM, ADITYA KAKKAD
Published Paper ID: - IJCRT2504139
Register Paper ID - 281370
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2504139 and DOI :
Author Country : Indian Author, India, 560028 , Bangalore, 560028 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2504139 Published Paper PDF: download.php?file=IJCRT2504139 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2504139.pdf
Title: SENSOR MATI
DOI (Digital Object Identifier) :
Pubished in Volume: 13 | Issue: 4 | Year: April 2025
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 13
Issue: 4
Pages: b148-b159
Year: April 2025
Downloads: 166
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Real time object detection and navigation for blind people

