Volume 12 | Issue 3 |

 Abstract

In today's digital age, where the omnipresence of technology has become intertwined with every facet of modern life, ensuring robust digital security has emerged as an imperative. The Advanced Keylogger Project stands as a testament to this pressing need, offering a sophisticated solution to the intricate challenges posed by cybersecurity threats. This research paper delves into the intricacies of the Advanced Keylogger Project, dissecting its multifaceted approach to fortifying digital security. Beginning with a comprehensive review of existing literature, the paper navigates through the labyrinth of keylogger technologies, encryption methodologies, and cybersecurity frameworks. Drawing upon this rich tapestry of knowledge, the research embarks on an ambitious journey to conceptualize and execute a groundbreaking solution. At the heart of the Advanced Keylogger Project lies a meticulously crafted methodology, meticulously designed to capture the essence of digital interactions while safeguarding the sanctity of user privacy. Through a symphony of keystroke logging, clipboard monitoring, audio recording, and screenshot capture, the project casts a wide net over the digital landscape, capturing every nuance of user activity with unparalleled precision. Yet, the true ingenuity of the Advanced Keylogger Project lies not merely in its technical prowess, but in its unwavering commitment to data security. Employing a formidable arsenal of encryption algorithms and secure transmission protocols, the project erects an impregnable fortress around sensitive information, ensuring that it remains shielded from prying eyes and malicious actors alike. As the research paper unravels the intricate layers of the Advanced Keylogger Project, it becomes abundantly clear that its impact transcends the realm of mere technological innovation.[1] It serves as a beacon of hope in an era fraught with digital uncertainties, offering a glimmer of reassurance to individuals and organizations grappling with the ever-present specter of cyber threats. The Advanced Keylogger Project represents a monumental leap forward in the ongoing quest for digital security. Its legacy extends far beyond the confines of academia, leaving an indelible mark on the landscape of cybersecurity and inspiring a new generation of innovators to safeguard the digital realms that define our collective future.

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 Keywords

keylogger, python, security, keystrokes, encryption, etc.

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 Abstract

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Stress Detection, Physiological Signals, Support Vector Machine (SVM), naive bayes algorithm, Fuzzy Logic, Galvanic Skin Response, Heart Rate.

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 Abstract

Plants become the only important supply of energy. Global warming trouble. Rising damage, rebound and Local pathogens are important to plant structures and result in ability damage. In addition to financial benefits, illnesses directly or not directly make contributions to vegetation. Spread of infectious human sicknesses and environmental harm. With those sicknesses. Spread all around the international, the impairment of the everyday functioning of the plant and the enormous discount in numbers is damaging to the monetary situation. Crops lose their quality due to various sicknesses. Sometimes they arise, but they may be invisible even to the naked eye. Farmer tax. Diseases are in use, however it is cultivated within the wrong way. More and more ways to feed humans are increasing daily. It may be very It is vital that greater than 70% of human beings in India rely upon agriculture. This approach lots of people are enthusiasts. Plant diseases affect human beings. Directly or circuitously about health or maybe financially. To perceive those diseases. Work velocity is automated manner. Diseases are exposed thru various virtual photos in useful methods. In this newsletter we've explored various digital technology. A diagram of the plant disease identity method.

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Crop blight identification, deep learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper aims to identify the issues faced by every job seeker as well as every job poster. It's been noted that difficulties arise for both parties: job seekers struggle to find positions that match their experience and skill set, and employers struggle to identify candidates who will fill open positions and fully contribute to the expansion of their organizations. Not only does this application work effectively for large tech organizations, but it also benefits small and large enterprises alike. Many people in society are talented in a variety of professions, but they lack the appropriate audience to demonstrate their abilities and make money from them. Among the abilities are those of a driver, event coordinator, cosmetic artist, barber, and babysitter, among others.

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Android Studio tools, Java, Firebase cloud messaging, Android SDK 32, Job Seeker ,Job recruiter.

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 Abstract

Floods pose a growing threat to communities worldwide, necessitating advancements in forecasting systems to mitigate their impact. This study presents a comprehensive approach to flood prediction by integrating machine learning algorithms. Our proposed flood forecasting system harnesses the capabilities of machine learning algorithms to analyze historical data of rivers including daily runoff, weekly runoff, discharge, and flood runoff. Also, state-wise data is also included. The creation of this prediction system offers better performance and affordable options. This article creates a prediction model to predict the frequency of floods caused by rainfall. Based on the range of rainfall in certain locations, the model predicts whether a flood will occur or not.

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 Keywords

Mitigate, machine learning, algorithms, harnesses, runoff, discharge, prediction.

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Abstract--Financial services are being used everywhere and function with high complexity. With the increase in the usage of online modes for transacting throughout the world it is seen that the frauds too are increasing alarmingly in this sector. An automated Fraud Detection System is thus required to tackle this issue. Over the years, many techniques are being tried in order to efficiently tackle this issue. With millions of transaction taking place it is practically impossible to take care of this by manually checking for frauds.With that being said, speed and accuracy is needed while building such systems. Our system provides better accuracy rather than only works in these areas but also which in-turn will end up saving a lot of resources and the cost incurred. Our aim with this research is to provide a robust, cost effective, efficient yet accurate solution to find or detect frauds in both online payment transactions and payments that take place with credit cards. The proposed solution is a Machine Learning model that will serve the purpose of detecting 'Fraudulent' and 'Genuine' transactions in real time. This is very beneficent to all the sectors that are even mildly aligned to finance or make use of it. The solution will help them to analyse based on different factors if the ongoingtransaction can be harmful and will prevent many unfortunate incidents. Index Terms--fraud detection, credit card, online payments, fraudulent, genuine.

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fraud detection, credit card, online payments, fraudulent, genuine.

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 Abstract

Two simple, accurate and precise UV methods were developed for the estimation of Levosalbutamol and Guaiphenesin in Bulk drug form. Both the drugs are used in treatment of chronic bronchitis and mild to moderate pneumonia and muscle spasm. Method A is Simultaneous equation method; wavelengths selected for Quantitation are 271.0 nm and 245.5 nm for Levosalbutamol and Guaiphenesin respectively which are the ?max of both the drugs. Method B is Q -Analysis method, wavelengths selected were 245.5nm (?max of AMB) and 244.0 nm (Isobastic point) for the analysis. In both the methods linearity for detector response was observed in the concentration range of 10-60mcg/ml for 2-12 respectively. The results of bulk drug analysis for method A is found to be 99.66% + 0.49 S.D for 99.99% + 0.08 S.D for and results obtained for Method B is 99.75% + 0.41 S.D for 99.77 % + 0.44 S.D. The proposed methods were successfully applied for the simultaneous determination of both the drugs in commercial tablet preparation. The results of the analysis have been validated as per ICH rules.

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 Keywords

Levosalbutamol and Guaiphenesin, UV-Spectrophotometry, Simultaneous equation method, Q-Analysis method, UV method.

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The biggest organ of the body is human skin. It's weight lies between six to nine pounds and surface area is about two square yards. Inner part of the body is separated by skin from the outer environment. Melanoma is a type of cancer that mostly starts in pigment cells (melanocytes) in the skin in order to improve in early detection and accurate diagnosis by healthcare professionals. This technique offers a clearer view for improved analysis of skin abnormalities. Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. Here we have developed a SVM based proposed work to detect melanoma from other skin diseases. The diagnostic performance of melanoma, dermoscopy technique was developed. Dermoscopy is a non-invasive imaging method that magnifies and illuminates skin for enhanced visibility of features like moles. It enables a detailed examination of skin conditions, aiding in early detection and accurate diagnosis by healthcare professionals. This technique offers a clearer view for improved analysis of skin abnormalities. Dermatological diseases are the most prevalent diseases worldwide. Despite being common, its diagnosis is extremely difficult and requires extensive experience in the domain. Here we have developed a SVM based proposed work to detect melanoma from other skin diseases.

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DERMOSCOPY, SKIN CANCER, SVM, MELANOMA.

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Currently, the healthcare sector has undergone a substantial shift. E-health and telemedicine, often known as virtual care, have grown significantly in India. The practice of offering medical services when patients and healthcare professionals are not near one another but instead communicate with each other through electronic channels is known as e-health. This paper will highlight the boom of e-health being supported and triggered by various factors such as the proliferation of smartphones, high-speed internet connectivity, and other digital platforms, offering numerous benefits to not only to patients and but healthcare providers as well. The Indian Ministry of Health and Family Welfare, Ministry of Communication and Information Technology, as well as certain state governments and the Indian Space Research Organization (ISRO), playing a significant role in the development of eHealth in India. It will also discuss the E-health's major obstacles despite its potential providing with some recommendations for better and vast acceptance.

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e-health, healthcare, mhealth, telemedicine,virtual care etc

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Creative Commons Attribution 4.0 and The Open Definition

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This paper aimed at compare the self-esteem of NSS and Non-NSS volunteers. The study was delimited to NSS and Non -NSS volunteers of degree college affiliated to Sambalpur University within age range of 17-19 years in Boudh district of Odisha only. For this study, descriptive survey method was employed. Purposive sampling method has been adopted for the present study. Participants 200 students from different Degree Colleges who have under 19 years age of Boudh district in Odisha. 50 of them were NSS girls volunteers, 50 were Non NSS girls students, 50 of them were NSS boys volunteers and 50 were Non NSS boys students. In order to collect the data in the present study, the investigator used Self Esteem Scale (SES-DSDU- 2015) constructed by Dhar and Dhar .To find the significance of difference between the various group's "t" test was applied. Finally, it was found that NSS boys have better self-esteem than non-NSS volunteer and also NSS girls have better self-esteem than non-NSS girl's volunteer but no significant difference is found in the self-esteem between NSS boys and NSS girl's volunteer.

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 Keywords

Self - Esteem, Adolescence Students, NSS boys volunteer, Non-NSS boys volunteer, NSS girls volunteer, Non-NSS girls volunteer

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Creative Commons Attribution 4.0 and The Open Definition