Volume 12 | Issue 12 |

 Abstract

This paper provides an in-depth review of career guidance systems, emphasizing their evolution through the integration of machine learning techniques, particularly the K-Nearest Neighbors (KNN) algorithm. It examines the development of intelligent career recommendation systems that utilize personality traits, aptitude scores, and educational backgrounds to deliver tailored career advice. Synthesizing insights from various studies, the paper highlights the effectiveness of KNN in applications such as collaborative filtering, resume classification, and precise career recommendations. A novel hybrid framework is proposed, combining KNN with complementary machine learning algorithms and incorporating a matching formula for improved career predictions. Additionally, the paper addresses challenges like data imbalance and overfitting, offering practical solutions to enhance system performance and reliability.

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 Keywords

Career recommendation, Assessment, Ocean model, KNN .

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Creative Commons Attribution 4.0 and The Open Definition

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Bael, also called Aegle marmelos (Linn) Correa, is a member of the Rutaceae family, is commonly available in moderately sized, slender, aromatic tree with well-known medicinal uses in India and Additionally in Bangladesh, Pakistan, sri lanka and Burma are its native habitat. This plant is dedicated to lord Shiva. In addition, the plant is thought to have significant medicinal value. Whose medicinal description is also depicted in the Ajanta cave and is mentioned in ancient texts such as the Veda, Puranas, Charakha Samhita and Brihat Samhita. The plant is used in Panchang form in Ayurveda to treat Ulcer, dysentery and diarrhea. According to folklore, plant part can be use to treat high blood pressure, malaria, ulcers, stomachaches, diabetes, skin condition, typhoid, cancer and other diseases. The plant fruit is edible and has significant therapeutic value due to the presence of vitamins, minerals, and other antioxidants. Phytochemicals screening of Aegle marmelos leaves extract confirmed the presence of Alkaloid, saponin, flavonoids, phytosterol, tannins, terpenoids, amino acid, coumarins, phenol, fatty acid and phenolic compound. The plant is associated with medicinal uses and also holds various pharmacological and therapeutic properties including ,anti-microbial activity, anti-cancer, cardioprotective effect, anti-hyperlipedemic activity, anti-ulcer activity, anti-pyretic or anti-inflammatory activity, hepatoprotective activity, radioprotective activity, anti-spermatogenic activity, wound-healing activity, anti-convulsant activity, immunomodulator effect, anti-depressant, anti-proliferative effect, anti-malarial activity, anti-histiminic activity, anti-arthritis, anti- oxidant, anti- fungal activity, analgesic and toxicological studies. In this review article, an effort has been made to summarize the pharmacological, phytochemical, and medicinal aspects of the Bael plant.

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 Keywords

Bael plant,Rutaceae,Anti cancer,Aegle marmelos.

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Creative Commons Attribution 4.0 and The Open Definition

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Bringing up a transgender kid is not simply parenting-- it's an excursion of adoration, learning and advancement. The parenting style adopted by parents has a profound resonance on child's life and such impact is fundamental for those children who identify themselves as transgenders at the very early stage of their lives. This paper investigates the encounters of parents exploring their child's personality, underlining the significance of giving a strong and confirming position to transgenders in the society. It investigates the crucial topic of gender identity disorder and confronts the conventional norms, encouraging acceptance of such people through Laurie Frankel's semi-autobiographical novel This Is How It Always Is. It also examines the strong intersections between identity, family and society, stressing the significance of making a more comprehensive and tolerating environment for transgender youngsters. It highlights the primary role of parental acknowledgment in advancing the prosperity and emotional well-being of transsexual kids, showing the valuable insights and advice on how to parent a transgender child.

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 Keywords

Parenting, transgender child, gender identity disorder, binary gender system, societal norms.

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Creative Commons Attribution 4.0 and The Open Definition

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Safe drinking water is vital to health. Although most people in the world have access to safe drinking water, as many as 663 million people still drink from untreated springs and groundwater sources, most living in remote rural areas. The scarcity of safe drinking water remains a serious problem in rural areas. In particular, groundwater pollution is caused by heavy metals, which are extremely harmful to human health due to their persistent, bio-accumulative, and hazardous nature. The scarcity of clean drinking water is a critical issue, driving the need for innovative, cost-effective, and efficient water purification solutions. This research focuses on developing an affordable, multi-functional clay-based ceramic filter matrix to treat drinking water. The proposed filter leverages the natural properties of clay, combined with other locally available materials, to create a porous matrix capable of removing pathogens, turbidity, and chemical contaminants. The fabrication process involves carefully selecting and preparing clay, mixing it with granulated carbon, molding it into desired shapes, and firing at controlled temperatures to achieve optimal porosity and structural integrity. The addition of granulated carbon is intended to improve the removal of contaminants such as organic compounds, chlorine, and heavy metals, thereby addressing microbial and chemical impurities. The resulting ceramic matrix provides physical filtration and incorporates antimicrobial and adsorptive functionalities, making it a versatile solution for various water quality challenges. Laboratory tests demonstrate that the clay-based ceramic filter can significantly reduce microbial contamination, remove suspended particles, and adsorb harmful chemicals, ensuring safe drinking water. Additionally, the low cost of production and the use of readily available materials make this technology accessible to low-income communities, particularly in rural areas. This study underscores the potential of clay-based ceramic filters as a sustainable and scalable solution for improving water quality, contributing to public health, and supporting the global effort to provide safe drinking water for all.

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 Keywords

drinking water, critical issue, ceramic filter, eco-friendly, economical

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The Permanent Magnetic Synchronous Motor (PMSM) has become increasingly popular in high-performance applications, especially in electric vehicles, due to its excellent power density, high power factor, and superior efficiency. This research presents a novel approach to speed control for PMSM drives utilizing fuzzy logic control techniques. While Field Oriented Control (FOC) has been the conventional method for regulating torque and speed in PMSM systems, advancements in vector control have broadened the usage of PMSMs to sectors traditionally dominated by DC motors. The proposed fuzzy logic-based speed controller undergoes extensive testing using MATLAB/SIMULINK across various scenarios, including sudden changes in load and quick fluctuations in speed, even encompassing abrupt reversals. Through thorough analysis and simulation, this research aims to validate the effectiveness of this method in achieving precise speed control and robust performance in dynamic conditions. By integrating the advantages of PMSM technology with the flexibility and strength of fuzzy logic control, this study aims to enhance high-performance electric drive systems, particularly in applications that demand rapid and responsive motor control. Ultimately, this work aspires to advance the current state of electric drive technology, establishing new benchmarks for efficiency and performance in challenging environments.

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PMSM, PWM, Fuzzy Logic Controller, Vector Control.

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This paper proposes an adaptive energy management strategy for hybrid energy storage systems (HESS) in electric vehicles (EVs) using PI and PID controllers. Existing speed-based energy management strategies have limitations. The proposed method optimizes power allocation between batteries and ultracapacitors using PID control, filtered demand power, and PSO algorithm for parameter optimization. Simulation results demonstrate improved performance, economy, and prolonged battery life.

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Electric Vehicles (EVs), Hybrid Energy Storage System (HESS), Energy Management, PI Controller, PID Controller, Power Optimization

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: - Introduction Artificial Intelligence (AI) is transforming healthcare by offering innovative solutions in diagnostics, treatment planning, and disease prevention. In dentistry, AI applications span radiology, orthodontics, endodontics, and restorative procedures, enhancing accuracy and efficiency. Despite its potential, the extent of AI awareness, knowledge, and adoption among dental professionals remains unclear, necessitating a focused investigation. Methodology A cross-sectional survey was conducted among 100 dental professionals, including practicing dentists, academics, and postgraduate students across various specialties. Participants were recruited through online and offline channels, adhering to inclusion criteria of a minimum Bachelor of Dental Surgery (BDS) qualification and active engagement in clinical practice or teaching. A structured questionnaire comprising five sections assessed demographics, AI awareness and attitudes, knowledge, barriers to AI adoption, and educational preferences. The tool's reliability was validated (Cronbach's alpha = 0.8) through a pilot study. Data collection involved voluntary participation with informed consent. Results The study revealed high awareness (84%) of AI applications in dentistry, with participants acknowledging its utility in enhancing diagnostic accuracy and efficiency. However, significant barriers to AI adoption were identified, including a lack of technical knowledge, inadequate infrastructure, and ethical concerns. The majority of participants expressed a strong preference for AI-focused educational programs, emphasizing hands-on training and workshops. Conclusion The findings underscore the need to address technical and infrastructural barriers to foster AI integration in dentistry. Targeted educational initiatives are essential to bridge the knowledge gap and equip dental professionals with the skills required to leverage AI effectively. This study provides a foundation for developing strategic interventions to promote AI adoption, ensuring its seamless incorporation into routine dental practice.

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Keywords: - Artificial Intelligence, Dentistry, Knowledge, AI Applications.

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The research focusses on the creation of a sustainable nonwoven composite air conditioner (AC) filter made from natural sisal fiber and recycled polyester fiber. The composite combines the strength and biodegradability of sisal fiber with the resilience and reusable nature of recycled polyester, resulting in a lightweight, cost-effective, and environmentally responsible filtering material. Important criteria such as fibers mixing ratios, bonding processes, and filtration effectiveness were assessed. The results show higher air filtration efficiency, lower pressure drop, and improved mechanical properties, indicating its potential for HVAC applications. This breakthrough helps with waste management and the advancement of green materials in the filtration industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

nonwoven composite, sisal fiber, recycled polyester, air conditioner filter.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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This paper looks into the integration of data visualization for finance, sales, and predictive analytics using AI/ML techniques in Power BI. The purpose of this research is to explore the capacity to enhance financial decision-making, sales forecasting, and trend analysis that data visualization and machine learning models can potentially create. A large dataset that contains financial, sales, and economic data was considered to demonstrate predictive analytics techniques, which would emphasize time-series forecasting and regression models. The native AI features of Power BI, which include its forecasting tools and the integration of machine learning via Python and R scripts, are used to build precise predictive models. Results reveal that the accuracy of sales and financial predictions increases substantially, key influencers are identified, and actionable insights are made available for decision-makers by the integration of Power BI's interactive dashboards with machine learning models. It demonstrates the advantages of deploying AI-powered visualizations such as decomposition trees and forecasting charts in Power BI for getting complex financial data in view. Data visualization combined with AI/ML techniques integrated with Power BI makes the tool a powerful tool business can use to help it optimize financial analysis and sales prediction

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 Keywords

Data Visualization, Finance, Sales, Predictive Analytics, AI/ML, Power BI

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Creative Commons Attribution 4.0 and The Open Definition