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)
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Paper Title: Movie Recommendation System Using Machine Learning
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501678
Register Paper ID - 276176
Title: MOVIE RECOMMENDATION SYSTEM USING MACHINE LEARNING
Author Name(s): Dharmavaram Poojitha, Ganga, Guvvala Harshitha, Jananya R Reddy, Dr. Nagaraj M. Lutimath
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f928-f933
Year: January 2025
Downloads: 137
Licence: creative commons attribution 4.0
Paper Title: Formulation and Evaluation of Multipurpose Herbal Cream of Neem, Turmeric and Tulsi Extract
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501677
Register Paper ID - 276125
Title: FORMULATION AND EVALUATION OF MULTIPURPOSE HERBAL CREAM OF NEEM, TURMERIC AND TULSI EXTRACT
Author Name(s): Patil Priya R., Patil Priyanka P., Patil Rohini P., Shashikant D. Barhate, Shaikh Samir Karim
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f914-f927
Year: January 2025
Downloads: 204
Abstract: - Objective: - To formulate and evaluate multipurpose herbal cream using Neem, Turmeric and Tulsi extract to give anti-inflammatory, anti-fungal and anti-bacterial effect. Methods: - The cream was prepared by using cream base which is liquid paraffin, beeswax, methyl paraben, stearic acid, cetyl alcohol, glycerin, distilled water, Aloe vera gel, extracts of Neem, Turmeric and Tulsi. The cream was prepared by slab technique or extemporaneous method for mixing the cream in geometric manner to provide a smooth texture and for mixing of all ingredients properly. From using trituration method by mortar pestle, we have formulated NEM4, batch of our herbal cream. NEM4, batch were evaluated / test for different parameters like physical evaluation, irritancy, washability, pH determination, phase separation, spreadability, Greasiness, Homogeneity after observation in all over batches NEM4 batch was giving the best result. Results: - NEM1-NEM5, formulations, showed good appearance, almost neutral pH, no erythema, edema and redness on skin during irritancy study, easily washable, good spread ability and no phase separation. The formulations NEM4, were found stable at room temperature and it was giving best result. Conclusion: - By using Neem, Turmeric, Tulsi and Aloe-vera gel the herbal cream showed multipurpose effect such as anti-inflammatory, anti-fungal and anti-bacterial also all herbal ingredients were used to showed different significant activities. Based on the results we can say that formulations NEM4, were stable at room temperature and can be safely used on the skin.
Licence: creative commons attribution 4.0
Keywords: - Neem, Turmeric, Herbal Cream, Bees Wax, Skin Irritancy Test
Paper Title: Nanaji Deshmukh Krishi Sanjivani Project (PoCRA) is a boon for farmers
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501676
Register Paper ID - 276304
Title: NANAJI DESHMUKH KRISHI SANJIVANI PROJECT (POCRA) IS A BOON FOR FARMERS
Author Name(s): Raju Bhausaheb Bade
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f908-f913
Year: January 2025
Downloads: 343
This research paper explores the critical role of the agriculture sector in Maharashtra, India, where it significantly influences the state's economy and sustains a majority of the population. With 82.47% of the cultivated land reliant on rain-fed dry land, the paper highlights the challenges faced by small and marginal farmers, particularly in accessing capital and essential services. The impact of climate change on agriculture in the region is addressed through the Climate Change Action Plan initiated by the Government of Maharashtra, aimed at integrating climate resilience into the state's development strategies. The World Bank's Nanaji Deshmukh Krishi Sanjivani Project, launched in 2018, is examined as a climate-friendly initiative designed to help farmers adapt to climate-related challenges. The project encompasses financial assistance, capacity building, and agricultural advisory services, targeting economic upliftment and sustainability in farming practices. Through an analysis of the project's implementation phases and its overarching objectives, this paper underscores the necessity of adaptive strategies in agriculture to ensure long-term viability and improved livelihoods for farmers in Maharashtra.
Licence: creative commons attribution 4.0
PoCRA, Climate Change, Agriculture Scheme, financial assistance
Paper Title: A REVIEW ON ENERGY GENERATION FROM SPEED BRAKERS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501675
Register Paper ID - 276168
Title: A REVIEW ON ENERGY GENERATION FROM SPEED BRAKERS
Author Name(s): Bhavya V, Jami Adarsh, D Akhira Nandan, Jetti Sreekar Desik, B Tharun Kumar Reddy
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f903-f907
Year: January 2025
Downloads: 155
The increasing demand for sustainable energy has driven the exploration of innovative solutions to generate renewable energy. This research aims to harness energy from vehicular movement using innovative technologies embedded in speed breakers to generate renewable electricity. By utilizing piezoelectric materials, rack-and-pinion mechanisms, and hybrid energy systems, the platform optimizes energy conversion for powering urban infrastructure. The integrated IoT-based monitoring system dynamically adjusts to traffic density and environmental factors, ensuring efficient energy usage. This sustainable energy solution not only addresses the rising energy demands but also supports smart city initiatives by powering streetlights, IoT devices, and other low-voltage applications. Designed with scalability and cost-effectiveness in mind, the platform provides a renewable, adaptive, and eco-friendly alternative to conventional power systems, promoting energy independence and reducing environmental impact. Its potential lies in creating self-sustaining urban ecosystems while aligning with global sustainability goals.
Licence: creative commons attribution 4.0
Sustainable Energy, Piezoelectric Sensors, Speed Breakers, Energy Harvesting, Rack-and-Pinion Mechanism, Renewable Energy Systems, IoT Integration.
Paper Title: Developing the Framework for Cost Optimization Strategy through Time Management And There Technological Approaches with Special Reference to Small -Scale Commercial Project
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501674
Register Paper ID - 276260
Title: DEVELOPING THE FRAMEWORK FOR COST OPTIMIZATION STRATEGY THROUGH TIME MANAGEMENT AND THERE TECHNOLOGICAL APPROACHES WITH SPECIAL REFERENCE TO SMALL -SCALE COMMERCIAL PROJECT
Author Name(s): Shruti Manoj Bhavsar
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f895-f902
Year: January 2025
Downloads: 140
Effective time management and cost efficiency are vital issues in small-scale commercial construction projects, particularly in swiftly expanding cities such as Pune. This research analyzes the complex connection between time lags and cost fluctuations, investigating particular methods to reduce delays and improve cost-effectiveness. The research assesses the applicability of various modern and traditional methodologies, including AI, Lean Construction, Six Sigma, BIM, Critical Path Method (CPM), and Program Evaluation and Review Technique (PERT), to small-scale projects through analysis. It underscores the significance of incorporating advanced tools for bigger projects while stressing more straightforward, budget-friendly methods for smaller initiatives. Using case studies and unbiased data, this study establishes a thorough framework that provides stakeholders with actionable advice for reducing costs via efficient time management. The research highlights the importance of a flexible, cohesive optimization approach, focused on achieving prompt project delivery, resource effectiveness, and budget efficiency, thereby offering significant insights to construction project management.
Licence: creative commons attribution 4.0
Cost optimization, Time management, Construction strategies, small- scale commercial project. Time-delay optimization, Adaptive project management strategies.
Paper Title: Effects of Varying Steel Fiber Dosages on the Characteristics of Fresh and Hardened Concrete
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501673
Register Paper ID - 276230
Title: EFFECTS OF VARYING STEEL FIBER DOSAGES ON THE CHARACTERISTICS OF FRESH AND HARDENED CONCRETE
Author Name(s): Maninder Pal Singh, Sahil Sharma, Hemant, Vishal Mahajan
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f888-f894
Year: January 2025
Downloads: 150
The most often utilized building material worldwide is cement concrete. Because of its good workability and ability to be shaped into any shape, it is widely used. Cement concrete has extremely little resistance to crack, and a relatively low tensile strength. Concrete's durability and toughness can be altered by appropriately adjusting its constituents, such as the cementitious materials such fly ash, rice husk ash and silica fumes etc and different fibers as steel, coir, synthetic fibers etc. When compared to glass and polypropylene fibers, steel fibers have the highest strength, according to numerous research studies In this study, the effects of adding three different volume fractions of steel fiber in conventional concrete and its fresh and hardened properties were examined after curing of 14 days and 28 days. When compared to conventional concrete, it was found that SFRC specimens show improved qualities. The optimum mix from this study in terms compressive strength, split tensile strength, flexural strength and workability is having the volume fraction 3%.
Licence: creative commons attribution 4.0
Compressive strength, tensile strength, flexural strength, Steel fibers, Steel fiber reinforced concrete.
Paper Title: 'THE IMPACT OF DIGITAL ADVERTISING ON CONSUMERS'
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501672
Register Paper ID - 276275
Title: 'THE IMPACT OF DIGITAL ADVERTISING ON CONSUMERS'
Author Name(s): Mr. Nivruttti Babaso Gargade
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f882-f887
Year: January 2025
Downloads: 155
Advertisements are a great way to make people aware of products, issues, and more. Consumers frequently consider traditional advertising channels like TV, magazines and newspapers to be outdated in today's world. People are turning to newer types of media to communicate with one another and share information as a result of the development of digital technology and the rising popularity of social media websites like Facebook, Twitter, and Instagram. Awareness the advertising environment is changing as advertisers use these digital platforms to reach their target audiences through web, mobile, and native advertising. Emerging companies using different channels to market their goods and services, including search engines, display ads, social network ads, and email marketing, online advertising has emerged as the industry standard. On the basis of consumer information and online behavior, online advertising enables highly targeted and personalized ads. In order to serve ads that are relevant and customized to specific customers, advertisers can employ data analytics and tracking technology to gather information about consumers' demographics, interests, and browsing history. Personalization on this level has a significant influence on consumer behavior and can increase engagement and conversion rates. As technology advances and people become more comfortable with digital devices, they prefer to use new forms of media. Media options during the contemporary age. The paper discusses about new advertising methods in the digital age, including online, mobile, and native advertising. It describes how advertisers are using innovative technology to transform advertising.
Licence: creative commons attribution 4.0
Digital Media, Digital advertising, Mobile Advertising, Social Media Advertising.
Paper Title: a study to assess the effectiveness of planned teaching programme on knowledge and self-care regarding prevention of anaemia among antenatal women at batra hospital and medical research centre (bhmrc), new delhi.
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501671
Register Paper ID - 276218
Title: A STUDY TO ASSESS THE EFFECTIVENESS OF PLANNED TEACHING PROGRAMME ON KNOWLEDGE AND SELF-CARE REGARDING PREVENTION OF ANAEMIA AMONG ANTENATAL WOMEN AT BATRA HOSPITAL AND MEDICAL RESEARCH CENTRE (BHMRC), NEW DELHI.
Author Name(s): Shobha Mishra, Eliza Huidrom, Wakrambam Karunanidhi Devi
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f871-f881
Year: January 2025
Downloads: 140
Licence: creative commons attribution 4.0
knowledge and self-care regarding anaemia among antenatal women.
Paper Title: CURRENT SCENARIO OF ENTREPRENEURIAL SPIRIT AMONG THE WOMEN ENTREPRENEURS IN INDIA
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501670
Register Paper ID - 276185
Title: CURRENT SCENARIO OF ENTREPRENEURIAL SPIRIT AMONG THE WOMEN ENTREPRENEURS IN INDIA
Author Name(s): Ms. Priya Srivastava, Prof. Jyoti Bhargava
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f864-f870
Year: January 2025
Downloads: 135
Life of women has undergone a tremendous change in recent years and they are playing a catalytic role in various spheres and in wealth creation for economy. Contribution of women since the initiation of this world are significant, they supported both their family and nation by their valuable efforts. As the era transformed, we shift towards entrepreneurial activities for creating social changes in the nation by creating innovation in various fields, women entrepreneurs are also motivated to take keen interest in doing something which are not done in ordinary course of business by creating their new venture. The need of hour is to empower them more and more by encouraging them to choose their career in entrepreneurial era, going beyond the traditional career path and contributing towards economic growth and development of nation. The present study purpose is to explore the current trends of women entrepreneurs in India, by analyzing their contribution and participation in current time. What are the factors which are encouraging them to take keen interest in choosing entrepreneurship as a career path like various schemes of government, entrepreneurship development programs, skill enhancement trainings and various incentives and support provided to women entrepreneurs, which motivate them to be independent by doing something by their own and also which types of problem they are facing while establishing their new venture all these paramount issues are addressed through this study. As the present time is an era of entrepreneurship the need is to develop entrepreneurial spirit among the women entrepreneurs to ensure accelerated growth and a successful step towards the aim of Viksit Bharat.
Licence: creative commons attribution 4.0
Entrepreneurial spirit, Women Entrepreneurs, Economic Growth, Viksit Bharat
Paper Title: Deep Learning-Powered Text Extraction from Videos and Images Using Advanced OCR Technologies
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501669
Register Paper ID - 276237
Title: DEEP LEARNING-POWERED TEXT EXTRACTION FROM VIDEOS AND IMAGES USING ADVANCED OCR TECHNOLOGIES
Author Name(s): Alavarapu Sivasankar, Yarnagula Swathi, Kayala Chaitanya, Uggina Sanjay, Mrs.K.Lavanya
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f853-f863
Year: January 2025
Downloads: 137
Videos and images are rich sources of valuable information, combining visuals, sounds, and textual elements to convey critical details. In videos, dynamic content such as moving objects and on-screen text often holds essential information, while images frequently embed textual data within their visual content. However, extracting specific text from these multimedia formats is a challenging task. Traditional manual methods, such as pausing videos and editing images, are time-consuming and inefficient, and the extracted text is often not readily editable. To address these challenges, advanced Deep Learning techniques integrated with cutting-edge Optical Character Recognition (OCR) technologies provide a robust solution. Tools such as Keras_OCR and PyTesseract employ deep learning models and OCR algorithms to accurately recognize and convert text from video frames and images into machine-readable, editable formats. This approach not only automates the text extraction process but also enhances accuracy and efficiency. By leveraging these technologies, users can seamlessly extract, save, and edit text-rich content from multimedia sources, making it a valuable resource for applications in education, research, and analysis. This study highlights the transformative potential of combining deep learning with OCR technologies to unlock the hidden textual information in videos and images, enabling greater access to knowledge in the digital age.
Licence: creative commons attribution 4.0
Deep Learning, Optical Character Recognition (OCR), Keras_OCR, PyTesseract, Multimedia Data
Paper Title: Enhanced Solar Radiation Prediction Using Integrated Image Processing and Meteorological Data Analysis
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501668
Register Paper ID - 276236
Title: ENHANCED SOLAR RADIATION PREDICTION USING INTEGRATED IMAGE PROCESSING AND METEOROLOGICAL DATA ANALYSIS
Author Name(s): Kanisetty Ramyasri, Revada Kumar, Saneda Harsha Vardhan, Barnikana Harika, M. Kalyani
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f840-f852
Year: January 2025
Downloads: 152
Renewable energy efficiency depends on precise solar radiation estimation together with agricultural output and sustainable environmental practices. The research establishes an innovative hybrid method for solar radiation forecasting by combining live meteorological data including temperature as well as humidity and wind speed metrics and with analytical sky visuals. The system uses advanced image recognition methods for cloud coverage determination and quantifies sunlight obstruction while applying sine altitude calculations for solar geometry analysis. The analyses from observed data merge with established empirical models to produce accurate solar radiation forecasts. Sunlight blockage statistics along with sky image processing results solar geometry parameters and solar radiation predictions appear as the system output data. Standard solar datasets and constants provide confirmation of both accuracy and the system's reliable performance. The research demonstrates how time-tested solar prediction approaches merge effortlessly with innovative computational systems to create an easy-to-use interface for solar energy users. Our upcoming strategy will use mobile platform deployment to extend accessibility while enabling users to enhance their energy planning and participate better in sustainability initiatives.
Licence: creative commons attribution 4.0
Solar Radiation, Hybrid Modeling, Image Processing, Meteorological Data Integration, Solar Geometry.
Paper Title: AI-Driven Healthcare Symptom Diagnosis Chatbot for Accessible and Proactive Medical Assistance
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501667
Register Paper ID - 276235
Title: AI-DRIVEN HEALTHCARE SYMPTOM DIAGNOSIS CHATBOT FOR ACCESSIBLE AND PROACTIVE MEDICAL ASSISTANCE
Author Name(s): Kandregula Jaswanth Sai, Polisetty M V V Mohan, Pentakota Baby Parna Sri, Koribilli Manohar, Dalibani Padma
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f830-f839
Year: January 2025
Downloads: 177
The fast-growing population needs more healthcare professionals than rural and government hospitals can provide for quality care. Our healthcare chatbot powered by AI helps patients receive expert medical support by connecting them through easy-to-use intelligent responses. The service helps people understand their symptoms, predict what might be wrong with them, and get safety tips, so they can make better choices for their health. The system operates through three key functionalities: There are three main tasks this system does: (1) Getting health symptoms from users and matching them to known conditions in its expert database; (2) Using powerful AI that has learned from medical records to predict likely conditions and help users understand them; and (3) Giving users safety advice and letting them know when they must visit a healthcare professional for more help. If the chatbot needs additional information to answer a question it fetches that data from search engines to deliver correct results. Through smart AI technology the system supports doctors with precise symptom interpretation while reducing mistakes and expands patient access to quality medical guidance to better healthcare results.
Licence: creative commons attribution 4.0
Artificial Intelligence (AI), Healthcare Professionals, Medical Records, Smart AI Technology, Expert Database.
Paper Title: Optimizing Blood Donation Predictions: A Machine Learning Approach with Logistic Regression and Robust Scaling
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501666
Register Paper ID - 276234
Title: OPTIMIZING BLOOD DONATION PREDICTIONS: A MACHINE LEARNING APPROACH WITH LOGISTIC REGRESSION AND ROBUST SCALING
Author Name(s): Yerrapilli Mohanbabu, Boddeda Sudarshini, Kandregula Prasad, Maddala Kalpana, Savaram Syamkumar
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f821-f829
Year: January 2025
Downloads: 145
To make sure hospitals always have enough blood available, we need to predict when donors will give blood. Our project looks at how new machine learning methods can help us predict which donors are qualified and how likely they are to donate blood, using the Transfusion dataset. Our TPOT AutoML tests found that Logistic Regression and Robust Scaler preprocessing formed the best model setup. Applying this model produced an AUC score of 0.789 proving it works well for actual use. Our results show that AutoML tools effectively find models that work well and explain their results in health prediction tasks. Our upcoming research will expand the dataset and test extra features to improve model outcomes for all donor groups.
Licence: creative commons attribution 4.0
Transfusion Dataset, Machine Learning, AutoML Tools, Logistic Regression, AUC Curve, Health Prediction.
Paper Title: Extraction of different Bio-fuels from different Wastes
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501665
Register Paper ID - 271760
Title: EXTRACTION OF DIFFERENT BIO-FUELS FROM DIFFERENT WASTES
Author Name(s): Tilak Raj Rana, Anshika, Sneha Rana, Shayana
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f816-f820
Year: January 2025
Downloads: 177
Conversion of waste biomass into bio-diesel and bio-gas presents combined advantages of waste to value conversion and alternative fuel generation. It is generally found that the world's depend on fossil fuels had negative implications, such as a decline in oil supply, a drop in air quality, an increase in global temperature, and weather change. Biofuel production is one of the best options for minimizing the quantity of conventional fuel used. Synthesis of fermentable sugars from the biomass fractions, namely cellulose, hemicellulose, and lignin, is a challenging process. Bioethanol, identified as a sustainable solution to fossil fuels, has gained significant attention. This paper presents theoretical and practical methods for process improvement, as well as a brief review of the characteristics of bio-fuel production and limitations by using various pre-treatment techniques with wastes such as vegetables, fruits and field bio-mass to bio-diesel production using microbe in anaerobic process. Bioethanol has a variety of applications, including petrol blending, solvent use, and distillery sectors. The main objective of this paper is analyses perspectives of manufacture bio-fuel, reduce the waste and provide pollution free environment for women. The collected various waste such as kitchen, field and animal excreta as reference are crushed and kept in different vessels by using yeast for fermentation and yield checked in different days.
Licence: creative commons attribution 4.0
Bio-waste, Kitchen waste, Field waste, Animal excreta, bio-diesel, Bio-gas
Paper Title: Impact of Digital Music among the Youth in Chennai
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501664
Register Paper ID - 276223
Title: IMPACT OF DIGITAL MUSIC AMONG THE YOUTH IN CHENNAI
Author Name(s): S.Emmanuel Raja, B.Senthil Kumar
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f813-f815
Year: January 2025
Downloads: 149
The rapid growth and development in the digitization of music have significantly transformed how the youth increase their consumption pattern style and involvement, engage with, and relate to music in Chennai, a film and vibrant cultural hub of south India. This study explores the impact of digital music platforms and their listening habits, preferences, and social cultural factors of the city's youth. It examines the accessibility, affordability, and variety offered by online platforms like Spotify, YouTube, and Gaana, which have replaced traditional methods of analog music consumption such as radio and CDs. The research adopts a mixed-methods approach, combining surveys and interviews with individuals aged 15-30 to assess their digital music usage patterns and their influence on their cultural identity and emotional well-being. Findings suggest that digital music has endured a more personalized and globalized experience, enabling youth to explore diverse genres while retaining a strong connection to local traditions. However, it also highlights concerns such as diminished attention spans, over-relational on psychological behavioral change , and reduced in physical music and community engagement. The study explains the dual role of digital music as both a tool for cultural globalization and a medium for preserving Chennai's classical and traditional musical heritage. Insights from this research could update the strategies for promoting balanced digital consumption while safeguarding the cultural identity for music.
Licence: creative commons attribution 4.0
Digitization of music, Listening habits, preferences, community engagements, balanced consumption
Paper Title: Augmented Reality for Museum Tourism Using Internet of Things
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501663
Register Paper ID - 275957
Title: AUGMENTED REALITY FOR MUSEUM TOURISM USING INTERNET OF THINGS
Author Name(s): Kajal Adsul, Sanjivani Adsul
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f808-f812
Year: January 2025
Downloads: 147
Augmented reality (AR) has been used in the last years as a weapon for enhancing co-operation between the real world and virtual environments. The goal of this work is to develop an android application which will raise the value of tourist on-site experience in an innovative way via AR technology. This survey will especially focus on museum tourism. Museum consisting of distinct sections faces difficulties of tourist management. If guides are not accessible this application can take place of human guide. In historical section of museum, one can scan the 2D image of object and can gain its 3D view along with its information. In music section, tourist can scan the image of singer and application will play famous melodies related to that singer. This data will be stored on the Cloud. This application is done by using well known technologies such as Unity 3D and Vuforia. Usage of such tools and technologies gives great opportunity to convert imagination into reality.
Licence: creative commons attribution 4.0
Augmented Reality, Augmented Reality based 3D display, Augmented Reality based Music Player, Cloud Computing.
Paper Title: A Study on Societal and Social Group Implications on Personality Development
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501662
Register Paper ID - 276060
Title: A STUDY ON SOCIETAL AND SOCIAL GROUP IMPLICATIONS ON PERSONALITY DEVELOPMENT
Author Name(s): Chanju Sherpa
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f802-f807
Year: January 2025
Downloads: 167
ABSTRACT According to the American Psychological Association, "Personality refers to individual differences in characteristic patterns of thinking, feeling, and behaving." This study specifically attempts to investigate the complex interrelationships among personality development, social group dynamics, and societal influences. It explores how social organizations either support or contradict society's norms and ideals, as well as how these factors shape individual identities. The study also makes an attempt to show how primary groups like family and close friends--and secondary group factors like community, group cohesion, and social identity--affect the development and maturation of personality. The study also emphasizes how important cultural environment is in determining what constitutes appropriate conduct and values in a community and how this influences people's personalities. The results highlight how crucial it is to comprehend these dynamics in order to build wholesome relationships and encourage personal development. This study advances our knowledge of human behaviour and the dynamic nature of personality as it changes in many social settings.
Licence: creative commons attribution 4.0
Keywords: Personality development, Individual differences, American Psychological Association, Study, Social groups and Factors
Paper Title: SQL INJECTIONS PREVENTION, DETECTION AND DECEPTION BASED ON ML CLASSIFIERS
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501661
Register Paper ID - 276173
Title: SQL INJECTIONS PREVENTION, DETECTION AND DECEPTION BASED ON ML CLASSIFIERS
Author Name(s): Chethan S, Adarsh B Shetty, C Dharshan, G N Koushik, Lakshmi M R
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f797-f799
Year: January 2025
Downloads: 161
Licence: creative commons attribution 4.0
Paper Title: Wellbot: A Companion And A Mental Health Chatbot For Emotional Wellbeing
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501660
Register Paper ID - 276127
Title: WELLBOT: A COMPANION AND A MENTAL HEALTH CHATBOT FOR EMOTIONAL WELLBEING
Author Name(s): Mrs Shilpashree S, Varun H S, Swaraj Bharath P, Tejas N, Supriya H M
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f790-f796
Year: January 2025
Downloads: 172
Mental health is a important aspect of overall well- being in the world we live. Many people face emotional struggles and stress, but there is no easy way for help. WellBot, a companion, is designed to bridge the gap by offering a platform for users to engage in conversations about their mental state. WellBot uses cutting-edge Natural Language Processing and sentiment analysis techniques to identify the emotional tone of users' text inputs and respond with thoughtful and supportive messages. The main idea behind WellBot is to give users a safe place to express their feelings. If someone just needs anybody to talk to, WellBot will listen. It is first step in to help users to reflect on their mental state and might guide them towards suitable resources. instant responses to people who may feel isolated or uncomfortable seeking human help is provided by the chatbot. Machine learning improves WellBot's understanding of emotional words. WellBot uses sentiment analysis to understand subtle emotional cues within user inputs and tailor appropriate responses. The user experience is improved by making conversations feel more personal
Licence: creative commons attribution 4.0
Wellbot,Rasa,Mental Health
Paper Title: Feminine Power in English Prose and Poetry: A Journey to Empowerment
Publisher Journal Name: IJCRT
Published Paper ID: - IJCRT2501659
Register Paper ID - 275966
Title: FEMININE POWER IN ENGLISH PROSE AND POETRY: A JOURNEY TO EMPOWERMENT
Author Name(s): Jyoti, Dr rakesh gupta
Publisher Journal name: IJCRT
Volume: 13
Issue: 1
Pages: f778-f789
Year: January 2025
Downloads: 141
Feminine power has always been a vital theme in English prose and poetry, reflecting women's struggles, triumphs, and contributions throughout history. This journey to empowerment is not just a narrative of individual strength but also a collective movement that has shaped societies and literature. English literature has always served as a powerful platform to explore women's voices, celebrating their resilience and challenging societal norms. This study delves into how feminine power is portrayed in classic and modern works of prose and poetry. It highlights key themes such as identity, freedom, and equality while showcasing the transformative impact of women's perspectives. From the passionate expressions of Elizabeth Barrett Browning to the thought-provoking prose of Virginia Woolf and the empowering verses of Maya Angelou, feminine power emerges as a timeless force that continues to inspire. The abstract underscores the importance of embracing and understanding women's voices in literature by tracing this journey. It invites readers to reflect on how these voices have always championed empowerment and shaped our cultural and literary landscapes.
Licence: creative commons attribution 4.0
; feminine power, empowerment, English literature, prose, poetry, women's voices, resilience, identity, equality. ____________________________________________________________________________________________________
The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.
Indexing In Google Scholar, ResearcherID Thomson Reuters, Mendeley : reference manager, Academia.edu, arXiv.org, Research Gate, CiteSeerX, DocStoc, ISSUU, Scribd, and many more International Journal of Creative Research Thoughts (IJCRT) ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved. Provide DOI and Hard copy of Certificate. Low Open Access Processing Charges. 1500 INR for Indian author & 55$ for foreign International author. Call For Paper (Volume 14 | Issue 3 | Month- March 2026)

