Volume 13 | Issue 11 |

 Abstract

Automatic Number Plate Recognition (ANPR) is an intelligent system designed to automatically detect, segment, and recognize vehicle number plates from images or video streams. It uses image processing and machine learning techniques to locate the plate, enhance the characters, and convert them into digital text. ANPR is widely used in traffic management, toll collection, parking systems, and security monitoring. The system improves efficiency, reduces manual effort, and enables real-time vehicle identification.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Core AI and CV terms,Vehical Specific Recognition terms,Neural Network and model architecture,Processing Techniques

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Online shopping has significantly transformed the retail experience, enabling users to purchase groceries and daily essentials conveniently from home. Simultaneously, cooking tutorials on platforms like YouTube have become a major source of culinary learning and inspiration. However, there remains a gap between watching a recipe video and purchasing the required ingredients efficiently. The proposed AI-Powered Smart E-Cart System bridges this gap by integrating artificial intelligence, natural language processing (NLP), and computer vision techniques to automate the shopping process. Users can paste a YouTube recipe link into the system, which then extracts ingredient information using speech-to-text, caption analysis, and image recognition. The system identifies food items, detects specific vegetable cutting types, and automatically generates a customized shopping list. This intelligent integration enhances user convenience, minimizes manual effort, and ensures accurate ingredient selection. The system's modular design allows scalability for future integration with e-commerce platforms and smart kitchen devices, marking a step forward toward intelligent digital retail experiences.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ingredient Detection, Cooking Videos, Speech-to-Text, Natural Language Processing (NLP), Computer Vision, YouTube Integration, Smart E-Cart, Cutting Style Recognition, AI-Powered Retail, Automated Shopping List

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rising number of vehicles and road accidents has increased the demand for fast, accurate, and unbiased vehicle damage assessment in the insurance industry. Traditional manual inspection processes are time-consuming, subjective, and prone to human error. This project proposes an intelligent vehicle damage assessment and cost estimation system using deep learning and computer vision. The model analyzes uploaded vehicle images, detects damaged regions, classifies the type and severity of damage, and generates an estimated repair cost based on predefined pricing standards.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Vehicle Damage Assessment, Deep Learning, Convolutional Neural Network (CNN), Cost Estimation, Image Processing, Computer Vision, Insurance Automation, Damage Detection, Machine Learning, Regression Model

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Hospital Appointment System (HAS) is a comprehensive software solution developed to digitalize hospital operations. It facilitates smooth management of patient information, doctor scheduling, appointments, billing, and pharmacy inventory. The system aims to bridge the gap between patients, doctors, and administration through a secure, user-friendly web interface. It allows easy retrieval of patient records, reduces paperwork, and provides analytical reports for better decision-making.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

User Authentication, Patient Appointment, Doctor Scheduling, Online Appointments, Database Management, Medical Records, Healthcare System, Web Application, CRUD Operations.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The concept of healing in modern medicine is shifting toward regenerative approaches that restore health at the cellular level. Stem cell therapy plays a central role by replacing or repairing damaged cells and is being used for a wide range of autoimmune, inflammatory, neurological, orthopedic, and traumatic disorders, with potential applications in anti-aging and disease prevention. Challenges remain, including errors in cell identification and processing. To address these issues, medicine is increasingly using artificial intelligence to analyse, select, and predict the behaviour of productive stem cells. This review highlights how AI is improving the precision and safety of stem cell therapy, paving the way for more efficient regenerative treatments with minimal side effects.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Precision Medicine, Disease Prevention, Anti-Aging, Neurological Disorders, Predictive Analysis, Future of Healing.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Effectiveness Of Planned Teaching Programme On Knowledge And Practice Regarding Breast Self-Examination Among College Students in Girls College Of Imphal East District, Manipur BACKGROUND: A breast self examination (BSE) is a technique which involves the women herself looking at and feeling each breast for possible any lumps, distortions or swelling. It is aimed to detect any abnormality of the breast at the earliest. According to WHO report (2020), breast cancer is the most frequent cancer among women impacting 2.1 million women each year globally. Studies show that breast cancers detected while practicing BSE are diagnosed at an earlier stage and tend to be smaller in its tumor size than those diagnosed in the absence of any screening. Therefore, BSE is the only way that a woman can do by herself to detect any abnormalities at the earliest without the help of others. OBJECTIVES: 1.To determine the effectiveness of planned teaching programme on knowledge and practice regarding BSE among college students. 2. To ascertain the correlation between knowledge and practice regarding BSE among college students.3. To assess the association between knowledge and practice scores of the college students with selected demographic variables. METHODOLOGY: Research design used was one-group pretest-posttest interventional research design. 50 samples were selected by using simple random sampling technique from Ideal Girls' College, Akampat and Shree Shree Gourogobind Girls' College, Khurai Salanthong under Imphal East district of Manipur. Tools used for data collection of this study were Structured knowledge questionnaire and observational checklist. FINDINGS: In the pre-test, regarding knowledge 72% had inadequate, 26% had moderately adequate and 2% had adequate whereas in the post-test, 92% had adequate, 8% had moderately adequate and none of them had inadequate knowledge. Regarding their practice, 88% had inadequate, 6% each had moderate and adequate practice in the pre-test whereas in the post-test, 84% had adequate,16% had moderate and none of them had inadequate practice. There was positive correlation between the knowledge and practice regarding breast self examination ("r"=0.76). The calculated chi-square showed that there is no significant association between their levels of pre-test knowledge with selected demographic variables except education, marital status, mothers occupation, history of medical illness, family history of cancer, previous knowledge and its earlier performance regarding BSE. Whereas, there is no significant association with pre-test practice scores with selected demographic variables. CONCLUSION The study concluded that there was significant enhancement in their knowledge and practice levels after planned teaching programme. Hence, it shows that planned teaching programme was effective in increasing their knowledge and skills regarding breast self examination.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Planned Teaching Programme, Knowledge, Practice, Breast Self-Examination, College Students

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract : Assam is the home of a large number of tribal people resides hills and plains. Every tribal group in Assam has their own distinct history, customs, religion, culture, language which have formed their identity. Various tribal groups mostly inhabited with their Indigenous characteristic in Assam. The Government of India recognized them as scheduled tribes. Fragment unrest is common the indigenous people of the region, mostly the Indigenous tribal group of people have to involve in frequent struggle for their self identity. Before independence all the tribal people of Assam lived peacefully. But at present no arty indigenous tribal people of Assam are not lived peacefully. The Misings are the second largest tribal group of the plains of Assam. They about have a long history of struggle for Autonomy. After a long period of struggle Miring community would not able to form their dreams in real sense.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indigenous, Tribal, Autonomy, movement. Self, identity, Assam etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present paper is an attempt to study the career decision making of senior secondary school students as very important factors that influence their whole life. Career decision making is a cognitive decision for the choice of their future career. Descriptive survey method is employed for existing investigation and sample of from 200 senior secondary school students by employing purposive and simple random sampling technique from Bathinda city. Data has been collected by administering. Career decision making inventory developed by (Kirandeep Singh, 1999) selected by purpose and random sampling techniques from Bathinda city. The finding revealed no significant difference in the emotional intelligence boys & girl senior secondary school students. Furthermore, career decision making of government and private senior secondary school students differ significantly.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Career Decision Making, Senior Secondary School Students

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mindfulness and emotional intelligence (EI) are increasingly recognized as complementary psychological constructs that play a vital role in enhancing personal well-being, interpersonal relationships and professional effectiveness. The growing interest in emotional and social competencies has led to increased exploration of mindfulness and emotional intelligence (EI) as pivotal constructs influencing human behaviour and interpersonal relationships. This paper discusses the interrelationship between mindfulness, emotional intelligence (EI), and empathy, emphasizing how these psychological constructs collectively contribute to enhanced emotional and social functioning. Mindfulness, defined as a state of present-moment awareness and nonjudgmental attention, fosters greater self-awareness and emotional regulation--core dimensions of emotional intelligence. Emotional intelligence, in turn, enables individuals to recognize and manage their own emotions while understanding those of others, forming the foundation for empathetic behavior.Drawing on various researches, the study examines how mindfulness practices enhance emotional awareness and self-regulation, thereby strengthening cognitive and affective empathy. Findings suggest that individuals with higher levels of mindfulness and EI demonstrate greater empathetic concern, improved interpersonal sensitivity, and reduced emotional reactivity. The paper argues that cultivating mindfulness can serve as a powerful mechanism for developing emotional intelligence and empathy, with significant implications for education, healthcare, leadership, and mental health interventions. The paper also highlights the implications of integrating mindfulness-based interventions in educational, organizational, and therapeutic settings to promote emotional competence and holistic development. It also examines how mindfulness and EI converge to cultivate a balanced individual. Overall, this paper underscores the synergistic relationship between mindfulness and emotional intelligence in nurturing empathy, highlighting the transformative potential of mindfulness-based practices for personal growth and social harmony. By fostering self-awareness, emotional regulation, and compassionate understanding, mindfulness and EI together serve as foundational pathways to developing empathy and enhancing human connection in diverse personal and professional settings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Intelligence, Mindfulness, Empathy, Intellect, Self -Regulation, Emotional Regulation,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Over the past few years, the way people shop in India has changed drastically. With the internet becoming more accessible and smartphones becoming part of everyday life, consumers now prefer browsing, comparing, and purchasing products online instead of visiting stores physically. This shift has made e-commerce a vital part of India's retail sector. Cities like Mumbai, known for their fast-paced lifestyle and tech-friendly population, have been at the center of this transformation. Online shopping is no longer limited to luxury or tech-savvy consumers -- it has become a convenient solution for everyone, from college students to working professionals and homemakers. This research paper focuses on understanding the growth of e-commerce, changing consumer behavior, and the factors that influence Mumbai shoppers. The study also explores how people's trust, preferences, and habits have evolved as online platforms become more user-friendly and competitive. To conduct the study, both primary and secondary research methods were used. A structured survey was conducted among 120 respondents from different parts of Mumbai, covering a variety of age groups, professions, and income levels. The data collected helped to identify what attracts people to online shopping and what concerns they still have. The findings revealed that convenience, attractive discounts, product variety, and time-saving features are the biggest motivators for online shoppers. Many respondents also mentioned that they like the ability to compare prices easily and read product reviews before making a decision. An interesting pattern that emerged was the rise of omnichannel shopping behavior. Many Mumbai consumers browse products online but prefer to buy from physical stores to check quality, while others visit stores first and then purchase online for better deals. This mix of digital and offline experiences shows how shoppers are adapting to the best of both worlds. The analysis also highlighted clear differences across age groups. Younger consumers (18-35 years) are the most active online buyers because they are comfortable with technology and prefer quick, hassle-free shopping. However, older consumers are also becoming more open to e-commerce due to secure payment systems, improved customer service, and flexible return policies. Despite these positive trends, issues such as late deliveries, product mismatches, refund delays, and data privacy concerns continue to bother some shoppers. Overall, the study concludes that Mumbai's e-commerce market is entering a new phase of maturity where digital convenience is being balanced with personal trust and local service. Retailers who focus on personalized marketing, transparent communication, and efficient last-mile delivery will have an edge in this competitive market. The paper also suggests that the future of e-commerce in Mumbai lies in a hybrid approach, where online and offline retail work together to create better experiences for consumers.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-commerce , Online Shopping Behaviour , Digital Payments , Influencer Marketing , Market Trends in India

  License

Creative Commons Attribution 4.0 and The Open Definition