Volume 11 | Issue 4 |

 Abstract

The paper presents a real-time facial emotion recognition system using Convolutional Neural Networks (CNNs) and OpenCV. The system processes video frames in real-time to detect faces and recognize emotions from the facial expressions. The CNN model is trained on a large dataset of facial images and emotions, and the results demonstrate accurate and fast emotion recognition performance. The integration of OpenCV with the CNN model enables real-time processing of video frames, making the system suitable for various practical applications.One use of machine learning is the identification of facial expressions of emotion.That were extracted from an image based on the features,it assigns a face emotion image to one of the facial emotion classes. Among the classification techniques, convolutional neural network (cnn) also pulls patterns from a picture. In this study we used the CNN model to recognize the facial expressions.To increase the precision of facial emotion detection, the wavelet transform is then used. There are seven different face emotions represented in the facial emotion image dataset that was gathered from Kaggle. The accuracy of the experimental facial emotion recognition utilising the CNN and wavelet transform increases.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Computer Vision, Emotion Recognition, Face Recognition, Feature Extraction, Image Sequences, Convolutional neural network, Facial Expressions, wavelet transform.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ANCIENT TAMIL AND HUMAN ENVIRONMENT

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ANCIENT TAMIL AND HUMAN ENVIRONMENT

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

One of the developments in computer vision is the exploration on mortal face recognition. One of the executions of the mortal face recognition system is used as an attendance system. There are different types of attendance systems like Biometric- grounded, Radio frequency Card grounded, face recognition grounded and paper- grounded attendance system. Out of them all, a Face Recognition Based Attendance System is more secure and time- saving. We've projected our idea to apply an "Automated Attendance System Grounded on Face Recognition". The operation includes face identification, which saves time as well as being purely software grounded, it can be flagged as eco-friendly as it reduces the use of paper. Hence, this system can be enforced in a field where attendance plays an important part. The algorithm used in the system is grounded on image comparison on the base of the decoded values of the face from the image from database with the image recorded by the system in run time.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Recognition; Face Detection; Automated Attendance system; Biometric, Radio Frequency Card.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study's background: Body positioning refers to manipulating the influence of gravity on cardiopulmonary and cardiovascular function to optimise O2 transport. Positioning should be an integral component of respiratory care, particularly when prevention is the objective. Turning intensive care patients supine to lateral to prone to lateral at least hourly can make the difference between life and death. Positioning enhances gas exchange and decreases atelectasis. The purpose of this study: was to assess the effects of prone versus supine positions on oxygenation levels in patients with acute respiratory distress syndrome who were using ventilators in experimental groups I and II. Methodology: Quantitative research was used. The quasi-experimental approach assessed the effects of prone and supine positions on ventilator use in acute respiratory distress syndrome (Non -Equivalent Control Group Design). The researcher collected data from Dr. PremHospital in Panipat, Oscar Hospital in Panipat, and Gajaraj Hospital in Gohana. Convenience sampling recruited the subjects. Each group included 30 non-random samples from 60 total. Group I was prone, while Group II was supine. Modified Apache-II and an observational methodology measured physiological parameters. The experimental group was prone and the comparative group supine. Following six hours, physiological and biophysiological parameters measured post-test oxygenation (Modified Apache-II Score). Positions changed every two hours. Descriptive and inferential statistics analysed data. Result: Results In the experimental group, the mean post-test Level of Oxygenation score and standard deviation were 6.57 + 1.598. In the control group, the mean and standard deviation scores on the post-test were 5.67 + 1.155. The mean score difference was 0.9 The obtained independent t-test score for the 58th degree of freedom was 5.253. It was statistically significant when the value of 'p' was less than 0.001. Thus, we can conclude that the level of oxygenation differed significantly between two positions, such as prone and supine. Conclusion: The comparative study compared prone and supine positions on oxygenation in ventilator-dependent ARDS patients. The study found that recumbent oxygenation was better than prone. To optimise oxygenation, intensive care nurses must use positioning.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Evaluate, certain ways to calm down, physiological parameters

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Floriculture or flower farming has become an attractive export-focused market in India. Tamilnadu is particular is one of the largest flower producers in the country. The Nilgiris district of Tamilnadu is a biosphere with rich flora and fauna and is well known for its flowers. Floriculture in India is turning out to be a very promising field for farmers, marketers, and aspiring entrepreneurs. Flower farming also creates a viable employment market and creating several jobs. The Indian flowers are also attracting several exporters due to their longstanding traditional connection to flowers. But it must be noted that despite all the above alluring factors, flower farmers fail to make notable profits and are set back by several internal and external factors. The study focuses on current scope and challenges in marketing of flowers with special reference to Nilgiris district.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

floriculturist, challenges ,flower marketting,entreprenurs

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Every economy's growth is viewed as dependent on capital. Domestic capital in a growing country like India is insufficient to satisfy the economy's demands. Foreign investment is considerable in this case. Foreign money comes in two forms: FDI and FII. FDI is considered to be a more stable kind of foreign capital than FII. In contrast, FII inflows and outflows have a direct influence on the stock market. As a result, FIIs have risen to prominence in India's stock market. This research examines the FII flow trend and pattern in India, as well as the FII-Sensex link. The research takes into account data from the previous 17 years. Because it is the most systematic stock market indices and is widely used by market players for benchmarking, the Sensex was chosen to study the impact of FII on the Indian stock market.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FII, Stock Market, Foreign Capital, Capital Market

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Globalisation has had a significant impact on various aspects of the Indian economy and society, including the education system. The aim of this research is to analyse the impact of globalisation on the Indian education system and to explain the current scenario of Indian education. The Indian education system has undergone significant changes since the introduction of globalisation. The increasing integration of the Indian economy with the global economy has led to a shift towards a more market-oriented education system, with a focus on producing graduates who are better equipped to meet the demands of the global job market. The education system has also become more competitive, with private institutions and foreign universities entering the Indian education market. The findings of this research will be useful for policymakers, educators, and other stakeholders in the Indian education system. The research will contribute to a better understanding of the impact of globalisation on the Indian education system and provide insights into how the education system can be improved to meet the needs of the global economy while ensuring access, quality, and equity for all students.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Education, Globalisation, Student

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research provides an overview of the emerging trend of Smart Handbags in the Indian market with respect to Bangalore region. With the advent of technology, consumers are looking for products that offer convenience and functionality. Smart Handbags are the latest innovation in the fashion industry that integrates technology with fashion accessories. This study analyses the current market trends, consumer behaviours, and factors driving the growth of Smart Handbags in India. The research also provides insights into the features and benefits of Smart Handbags, their pricing, distribution channels, and competitive landscape. The findings of this study will assist fashion brands, designers, and marketers in developing effective strategies to capitalize on the growing demand for Smart Handbags in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart handbags , Indian market, Technology integration, Internet of Things (loT), Wearable devices, Bluetooth connectivity, Wireless charging, GPS tracking, Anti-theft features, Fashion and style, Price range, Customer preferences, Market trends, Competition analysis, Market growth potential.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The usage of vehicles has greatly increased in modern times. Since more people are driving, there is more traffic, which has led to an increase in traffic accidents. Accidents are occurring more frequently now. Every hour, there are about 17 accidents. Due to the lack of immediate preventive measures and immediate preventive and safety facilities, this damages the property and results in human life loss. Our project's primary goal is to prevent accidents that result from driver intoxication, sudden sleepiness, Rash driving, and engine overheating. However, even in the unlikely event that an accident results from a different cause, the used electronic devices will be able to communicate a victim's precise location to emergency personnel and send out spontaneous messages. Many car accidents are caused by driving too fast, driving while intoxicated or fatigued, driving recklessly or rashly, and breaking the law. While cars greatly reduce the amount of time we spend traveling, they also raise the possibility of an accident occurring. To reduce this risk, we can apply extra sophisticated technologies. We are using sensors, electronic modules, and a microcontroller unit in our project. This supports us in providing accident prevention, recognizes the accident if it happens despite the precautions, and alerts the ambulance service.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Accelerometer, GSM Module, GPS module, Ultrasonic sensor.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Prachin bharat ke pramukh vyaparik marg

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Prachin bharat ke pramukh vyaparik marg

  License

Creative Commons Attribution 4.0 and The Open Definition