Volume 12 | Issue 3 |

 Abstract

halagannada kannada bhodenege upuyuktvada mahitigalu hagu vidhanagalnnu idaralli kanabahudu

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good teaching methed of halagannada kannada bhodenege

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By Utilizing machine learning algorithms, our project presents an innovative approach to predict food choices based on user mood. The system employs the k-means clustering algorithm, an unsupervised learning technique, to create distinct clusters representing moods such as sad, happy, and stressed. Training our system with different data sets, including facial expressions, food reviews, and restaurant information, optimizes the efficiency of mood-based food predictions. The user-friendly interface of our system offers two mood selection options. Users can manually choose their current mood from predefined categories and the other one is by using webcam-based mood detection, where the system captures and analyzes user emotion expressions to predict food choices. The program's front end is designed with Bootstrap, while the back end is implemented using Python and the Flask framework. To enhance the accuracy of food predictions based on user mood, the system integrates facial expression recognition technology. The primary objective of our project is to provide users with user-friendly interaction that makes them helpful while decision-making. Anticipating a 70-plus accuracy rate, this innovation demonstrates the system's commitment to leveraging advanced technologies for mood-based recommendation precision. Our project is of personalized recommendation systems, leveraging advanced technologies to enhance user satisfaction in the realm of food choices based on their current mood. The combination of machine learning algorithms, a user-friendly interface, and innovative features positions your project as a pioneering effort in this domain.

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K-Means Clustering, Sentiment Analysis, Facial Emotion Recognition, Convolution Neural Network (CNN), NLTK.

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Nanorobots, an innovative and developing technology that combines robotics and nanotechnology, has great potential for revolutionising the medical industry. These tiny, self-contained machines, which are generally nanoscale in size, have the potential to precisely move through the human body, carrying out specific functions and dispensing medicines at the cellular and molecular levels. An overview of nanorobot applications in medicine is given in this abstract, with a focus on how they have the potential to revolutionise healthcare. Nanorobots are capable performing a wide range of tasks, including tissue regeneration, medication delivery, diagnosis, and surgery. They can be made to transport therapeutic agents or payloads of medications, enabling targeted, localised illness therapy. Drugs are delivered to the damaged location with the least amount of systemic adverse effects thanks to their capacity to travel through the circulation or enter tissues. Nanorobots with sensors and imaging equipment can diagnose illnesses quickly and with great precision by spotting their early symptoms. Nanorobots can reach difficult anatomical areas and execute minimally invasive treatments, considerably enhancing surgical techniques. They have the capacity to lessen patient suffering, healing time, and complication danger. Nanorobots can also help with tissue healing by moving and assembling biological components at the cellular level, which encourages regeneration processes. Nanorobots provide focused treatments and therapies in personalised medicine, providing promise for the treatment of diseases including cancer, neurological problems, and hereditary abnormalities. They have the potential to improve therapeutic effectiveness and lessen side effects by molecularly customising treatments. The creation and incorporation of nanorobots into clinical practise nevertheless face difficulties, despite these fantastic prospects. These concerns span a variety of areas, including as biocompatibility, power supply, safety, and navigation control. For nanorobots to be used safely and productively in healthcare, it is imperative that these issues be resolved

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Nanorobots, Nanotechnology, Cancer Treatment, Surgery, Medicine,Healthcare, Gene Therapy,Component, Nano-surgery, Disease Management

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Conjunctival melanoma is a rare malignant melanocytic tumor with a bad prognosis due to its recurrence and metastatic potential. Conjunctival melanomas "de novo" or occuring on a nevus have a better prognosis than melanomas associated with primary acquired melanosis, which is a major risk factor for local recurrence and metastatic spread. We report the case of a 51-year-old patient with no particular history who consulted for the first time for a swelling of the inner canthus of the left eye and whose excisional biopsy was in favor of a conjunctival melanoma developed on primary acquired melanosis of the conjunctiva, and who had initially benefited from conservative surgery with external radiotherapy followed by secondary exenteration due to a voluminous endo-ocular recurrence during follow-up.

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Conjunctival melanoma, primary acquired melanosis, recurrence, conservative treatment, exenteration

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In-depth analysis and investigation of a Virtual Mouse and Keyboard system operated by hand gestures are the focus of this research paper .In the field of human-computer interaction, the development of input devices needs to be user-friendly and effective. This paper provides a new approach to build a virtual mouse using pyAutoGUI, OpenCV, Mediapipe and other cutting-edge technologies, as well as mathematical techniques. The goal is to offer a new way of operating a computer interface that will be especially useful for users who have difficulty moving around or need more control over the computer interface. MediaPipe is used for hand-finger following and allows for real-time positioning of signals as well as development designs. OpenCV can be used as a comprehensive multipurpose system for picture preparation and control. PyAutoGUI is a Python-based robotization module that automatically changes over hand gestures to simulate mouse activities on the screen. This examination highlights the potential to combine these innovations to create a more comprehensive, open computing environment that can cater to a wider range of clients and open up new conceivable outcomes for human-computer interactions.

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Virtual Mouse and Keyboard, Hand Gestures, Human-Computer Interaction

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: In recent years, the Indian ETF market has experienced notable expansion and development. ETFs gained traction after their 2001 launch, especially with products such as Gold ETFs. But in 2013, budgetary reforms that lowered transaction taxes and increased the participation of ETFs in pension funds marked a turning point. ETFs used by the government to sell its stake in public sector companies accelerated asset growth and investor awareness. By 2018, the market was dominated by other ETFs, mostly in the equities space, which accounted for a significant amount of all ETF assets. ETFs provide advantages over mutual funds, such as flexibility in trading and efficient operations. This development highlights how ETFs are becoming more and more significant in the Indian investing scene.

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Capital market Investors Businesses Exchange-traded funds (ETFs), Bonds, Mutual funds, Stocks Investment ,

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Dr. B. R. Ambedkar is well known for his efforts as a fighter and a scholar to bring liberty, equality and awareness in Indian society regarding various social and legal matters. Various scholar regard Dr. Ambedkar as a feminist by heart. In the early 19th century, world at large witness a specific reformed movement in favour of women in which prominent figures such as Raja Ram Mohan Rao, along with Mritunjay Vidayalankar tried to drew the attention of the society towards wretched conditions. Dr. B. R. Ambedkar was the first ever Indian who tried to brought justice and equality for women under the umbrella of law rather than in air. The major step taken by him can be seen in the codification of Hindu code which bring the concrete and sincere efforts in Hindu personal laws, which provides women equal rights in various civil matters from marriage rights to adoption and from adoption to succession. Dr. B. R. Ambedkar conceptualize a gynocentric society, wherein patriarchal norms are subverted. Ambedkar recognized the impact of caste patriarchy, caste position, and internal Dalit patriarchy on Dalit women. Keeping in mind the importance of women in the society despite of their caste, Dr. Ambedkar by the way of various speeches try to make the people understand that the true equality and liberty lies in equal opportunities for all i.e., for both men and women. This research paper will focus on the efforts made by Dr. Ambedkar for the shaping of the Hindu code and his views on women's problems in pre- and post-independent India.

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women, rights, Hindu code, equality, women empowerment

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Webometric is measuring the the websites, webpages, Parts of Webpages, words in webpages, link structure, web search engine results. This study examines 24 state Government Universities of Madhya Pradesh. Investigate Domains distribution of websites, analyse number of webpages and link pages and calculate the Self-link web impact factor, External link web impact factor and Revised web impact factor for state Government Universities in Madhya Pradesh and Rank the websites as per the WIF.

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State Government University, websites, Madhya Pradesh, website Analysis, Link Analysis, Internal link, External link, Backlink, Web Impact Factor.

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Artificial intelligence (AI) is progressively reshaping medical practice, leveraging advancements in digitized data acquisition, machine learning, and computing infrastructure. Previously exclusive to human experts, AI applications now permeate diverse biomedical domains. This Review Article delineates recent AI breakthroughs, their biomedical implications, challenges hindering further progress in medical AI systems, and the economic, legal, and social ramifications of AI in healthcare. Our approach incorporates Python, benefiting from its extensive array of freely available packages spanning various domains. Key scientific Python libraries, including NumPy, SciPy, and pandas, offer efficient implementations of numerical operations, catering to common scientific and engineering tasks. These libraries provide a robust foundation for developing advanced scientific software without delving into low-level algorithms. Furthermore, domain-specific packages tailored to meteorological requirements supplement our methodology. Leveraging Convolutional Neural Networks, we classify diverse diseases alongside state-of-the-art Machine Learning algorithms.

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Machine Learning, Convolutional Neural Networks(CNN), Random Forest.

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The escalating cost of cyberattacks demands a paradigm shift in cybersecurity strategies used by organizations. Traditional methods, often reactive and data-limited, struggle to keep up with the ever-growing sophistication of cyber threats and the vast volumes of data organizations produce. That's why the use of cutting-edge technologies such as Artificial Intelligence (AI) and Machine Learning (ML) if crucial to preventing cyberattacks in this day and age. By leveraging AI and ML, organizations can analyze massive datasets in real-time, identifying subtle patterns and anomalies indicative of imminent attacks. This proactive approach shifts the focus from simply reacting to breaches to predicting and preventing them altogether. AI and ML also enable the automation of time-consuming tasks, which gives security teams more time to focus on strategic initiatives and tasks that require critical thinking. AI and ML algorithms also go beyond detecting known threats as they can effectively detect and combat the newest malware variants. Despite the many benefits of integrating AI into security tools, security teams need to carefully consider its ethical and technical challenges. Addressing these challenges requires adopting practices such as using diverse and high-quality data for effective training and ensuring the interpretability of complex models. Additionally, navigating the legal and ethical landscape surrounding data privacy and governance regulations is essential. The use of AI and ML in cybersecurity is even more critical today as we are now in the era of generative AI, which enables attackers to create more realistic phishing attacks [6]. Organizations need to devise ways to counter such attacks by using AI more effectively and aggressively than the attackers [6]. The purpose of this paper is to explore how organizations can harness the power of AI and ML to enhance their cybersecurity defenses. We aim to provide a comprehensive overview of how these advanced technologies can be utilized to fortify cyber defenses, analyze their strengths and weaknesses, and the best practices to get the best out of them.

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Increasing Artificial Intelligent, Protection for Cybersecurity, Enhancing AI, AI and ML

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