Volume 12 | Issue 5 |

 Abstract

"Infospectrum" is a web-based platform designed to streamline the job search process for users. Leveraging advanced technologies such as Convolutional Neural Networks (CNN) and collaborative filtering, the platform analyzes user resumes to suggest the most suit able job roles and the corresponding skills to acquire. By parsing resume information and employing machine learning algorithms, Infospectrum aims to make the job search journey smoother for users by providing personalized recommendations. Developed using the Django framework and incorporating APIs like YouTube, the platform offers learning sources for recommended skills. With a dedicated team trained in TensorFlow, Keras, and Git, Infospectrum aspires to empower users with the necessary tools to secure fulfilling employment opportunities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional Neural Network, Collaborative filtering, User Resume Analysis, Job role recommendation, Personalized recommendations, Skill enhancement.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Diabetic retinopathy (DR) is a severe complication of diabetes that damages the retina and can lead to vision loss. Early detection and treatment of DR are crucial to prevent blindness. This study proposes using deep learning techniques to automatically detect and classify DR severity from fundus images. The methodology involves collecting fundus images, pre-processing them, training convolutional neural network models, and evaluating model performance using common classification metrics. Various deep learning architectures such as VGGNet, ResNet, and DenseNet will be explored. The models will be trained on large datasets such as Kaggle Diabetic Retinopathy Detection dataset. If successful, the deep learning model can be integrated into screening systems to detect DR early and enable timely treatment. Te process has the capability of reducing vision impairment that is noticed in DR globally.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

VGGNet ,ResNet, and DenseNet

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Environmental degradation is probably the biggest problem that the human rice as a whole is facing. To live in a safe and clean environment is a fundamental right that every person should have. This essay examines the historical evolution of efforts to incorporate environmental protection into the international human rights framework. It traces the major conferences, conventions, and initiatives undertaken since the 1970s to mitigate environmental issues from a human rights perspective. While significant progress has been made, including the recent UN recognition of the human right to a healthy environment, critical gaps remain. It argues that addressing these interconnected challenges requires a holistic, inclusive approach. Ultimately, the essay argues that integrating environmental protection with human rights is paramount in upholding dignity, equality, and other such fundamental rights.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Environment, Environmental degradation, human rights, climate change, climate refugees, environmental rights

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Approximation computing emerged as a key option for balancing the need for accuracy with the need to use as little energy as possible. Some programmes, like multimedia and signal processing, can handle errors and still process information correctly. This means that the accuracy level is lower than what is required at the circuit level, but the service quality is still good enough at the application level. Automatic recognition of R-peaks is the first and most important step that an electrocardiogram (ECG) signal must go through before it can be processed and analyzed. As its name suggests, the Haar discrete wavelet transform (HDWT) is a simple pre-processing filter that works great for finding electrocardiogram (ECG) R-peaks in embedded systems with very little power, like wrist tech. A study is used to show an approximate HDWT hardware architecture for ECG processing that is very good at using energy efficiently. Our best choice, which includes pruning in the roughly HDWT hardware design, only needs seven extra things to be added. In addition, this article looks at how to use a truncation method to make things use less energy. This is done by looking at how the signal-to-noise ratio changes over time and how that affects the ECG peak-detection programme in the end. According to the findings of this study, our HDWT approximation hardware architecture proposal is capable of bearing larger truncation levels than the HDWT that was first developed. Finally, our results show that using our HDWT matrix approximation idea along with pruning and the highest level of truncation still achieves an average R-peak recognition performance accuracy of 99.68%. This results in a decrease of approximately nine times the amount of energy that was previously consumed.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Haar DWT, Energy-Efficient, ECG.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Concerns about synthetic chemicals in textiles are growing, and this, together with an increase in skin allergies and infections, highlights the need for safer and more environmentally friendly textile finishing options. However the study aspects into the use of extracts from Psidium guajava plants as functional finishes on cotton fabrics to improve their dermatological qualities and add antifungal and antibacterial capabilities. Selected guava leaves, known for their skin-friendly qualities, were processed using the Soxhlet extraction method to yield strong extracts that were then used as finishes on cotton textile materials. The guava leaves extracts shows low toxicity levels, biodegradability, and environmentally gentle profile make them attractive green substitutes for synthetic chemical agents that are frequently utilized in textile industry. The study was to determine the fabric property and change due to the finishing process. The Antibacterial activity of the coated materials were analyzed with Klebisiella pneumonia, Streptococcus pneumonia, Staphylococcus aureus and Pseudomonas aeruginosa was within an acceptable level.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Textile finishing, Cotton, Psidium guajava, extract, Soxhelet, Antibacterial, Physical properties.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Power generation is one of the issues. Now -a-days number of power sources are present, non-renewable and renewable, but still we cannot overcome our power needs. Among these human population is one of the resources. In this project we are generating power by running or walking. Power can be generated by walking upon stairs. This system can be installed in homes, schools, colleges, where the people move around the clock. When the people walk on the steps or that of platform, power is generated by using weight of person. This mechanical energy applied on the crystal into electrical energy. When there is some vibrations, stress or straining force exert by foot on flat platform

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Renewable Energy power, Electrical Energy, Mechanical Energy, Foot Step

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The RFID-based smart attendance system is a creative method of automating and streamlining the tracking and monitoring of attendance in commercial and educational contexts. RFID (Radio Frequency Identification) technology is used by the system. RFID scanners are positioned at strategic entry points, and RFID tags are assigned to particular persons. When an individual passes the reader with a valid RFID tag, their attendance is automatically entered into a central database. This approach significantly reduces the amount of manual effort required to track attendance while minimizing errors and enhancing data security. Administrators may monitor attendance trends and generate comprehensive reports using its real-time data analytics and reporting features. The integration of RFID technology enables adaptability and adaptation to satisfy various organizational needs, hence permitting additional features such as access control and time management. Since an RFID-based attendance system promotes more efficiency, enhanced accountability, and fewer administrative tasks, it is a valuable tool for modern educational institutions and enterprises seeking to raise operational efficacy and production.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Attendance, Advanced Technology, RFID, Tag, Efficient, Administrative Operations

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wine Quality, Machine Learning, Random Forest, Prediction, Chemical Properties

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Drug misuse in young people is a serious issue that has a big impact on their health and wellbeing. This research study tells how drugs affect youngsters using machine learning approaches. To better understand the fundamental causes of young drug abuse, we will analyze big datasets that include data on drug consumption patterns, demographics. We want to know which risk factors are associated with drug use so that we may develop predictive models to aid in early detection and treatment. We will be able to offer insights on preventive measures and support networks by analysing a variety of characteristics, like age, gender, socioeconomic status, peer pressure, and mental health. This research contributes to the continuous efforts to improve youngster's health and wellbeing and to battle drug addiction in youth as well as society.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Drug consumption, youth, machine learning, predictive models, and prevention of substance misuse.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Understanding weather conditions plays a pivotal role in our daily lives, influencing a wide range of decisions from outdoor activities to disaster preparedness. Effective weather visualization not only aids in comprehending complex meteorological phenomena but also enhances our ability to adapt to changing environmental conditions. Augmented Reality (AR) technology has transformed how users perceive and interact with information in the environment. We aim to present the weather conditions more descriptively and interactively using AR. In this paper, we present a novel application of AR for visualizing real-time weather conditions at the user's location. The live weather data from OpenWeatherMap API is integrated into Unity 3D using C# script. The AR scene dynamically adapts to changing weather conditions, providing users with an immersive experience.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Reality, Weather Visualization, Open Weather Map API, Unity 3D, C# script

  License

Creative Commons Attribution 4.0 and The Open Definition