JournalNX - A Multidisciplinary Peer Reviewed Journal

COMMUNICATION SKILLS IN STUDYING THE NORMS OF RUSSIAN WRITTEN SPEECH

Shadieva Dilrabo Kurbanovna — 2025-04-13

This article describes in sequence some problems of the norms of Russian written speech among foreign students and their communication in Russian, as well as various standards of communication skills required in speech culture classes.

NATURE-CONFORMING EDUCATION OF BOYS AND GIRLS

Saidov Bakhtiyor Muhammadievich — 2025-04-13

This article deals with the nature-conforming upbringing of adolescents. The formation of a morally integral personality is an aspiration to the Future, it is the meaning of the child's life at all stages of his age development. The meaning of the process of upbringing, based on a humane and personal approach to the child, lies in the fact that the teacher, being the creator of this process, directs it to the full development of forces and abilities repeated in the multifaceted activity of the child. directs the process of education to the identification and affirmation of the child's personality, to the formation of a morally integral personality. In accordance with the principle of conformity to nature of education, recognizing the unity and organic connection of nature and man.

NEURO SORT: AI-DRIVEN WASTE INTELLIGENCE SYSTEM

Surpurkar Abhinav Narendra — 2025-04-13

Effective waste operation is pivotal for environmental sustainability, yet homemade sorting remains time- consuming and error-prone. NeuroSort AI- Powered Waste Bracket System leverages artificial intelligence to automate waste identification with over 95 delicacy. By classifying waste into four primary orders — Recyclable,Non-recyclable, Organic, and Dangerous the system enhances waste isolation effectiveness. druggies can input waste data via image uploads or real- time camera prisoner, making the platform largely accessible across multiple bias, including mobile phones. Advanced analytics give real- time waste distribution perceptivity, performance shadowing, and literal data analysis, enabling informed decision- making for businesses and environmental associations. By reducing sorting time by 40 and perfecting recycling delicacy by 60, NeuroSort significantly lowers waste operation costs and minimizes environmental impact, contributing to a cleaner and further sustainable future.

AI-POWERED CAREER GUIDANCE FOR DIPLOMA STUDENTS

Gajendra Vasudev Manchal — 2025-04-13

Navigating career choices can be a daunting task for parchment scholars, frequently leading to confusion and query about their unborn paths. This paper presents an AI- powered career guidance system designed to give individualized recommendations acclimatized to the academic background, chops, and interests of parchment scholars. By using Gemini AI, the system conducts intelligent analysis of pupil biographies, identifies skill gaps, and offers real- time job request perceptivity to enhance employability. The result is erected using Python, Kivy, and Flask, icing a flawless and scalable stoner experience. Also, the system aims to ameliorate pupil confidence and decision- making by furnishing data- driven career suggestions. A airman perpetration is planned across polytechnic institutions in Southeast Asia to assess its effectiveness. The study highlights the eventuality of AI in career comforting and outlines unborn advancements, including integration with educational institutions and AI- powered mentorship programs.

ELECTRIC VEHICLE BATTERY MANAGEMENT WITH FIRE AND ACCIDENT DETECTION SYSTEM

Tahniyatunnisa S. Chanda — 2025-04-17

Electric Vehicles (EVs) are becoming a crucial solution for sustainable transportation. A Battery Management System (BMS) is an essential component that ensures safe, reliable, and efficient operation of EV batteries by monitoring parameters like voltage, temperature, current, and state of charge. This paper explores the concept, functionality, and significance of EV BMS, with emphasis on its role in extending battery life, improving performance, and ensuring safety. Additionally, this study evaluates modern innovations and integration trends, such as AI-enabled diagnostics and fire protection systems, to enhance the robustness of BMS for the evolving EV ecosystem.

ORGANIZATIONAL EQUITY AND EMPLOYEE PRODUCTIVITY IN FURNITURE COMPANIES IN PORTHARCOURT, RIVERS STATE

Maxwell Nwinye — 2025-04-17

This study examined organizational equity and employee productivity in furniture companies in Port Harcourt, Rivers State. The study concentrated on two measures of organizational equity like pay equity, promotion equity, including two proxies of employee productivity namely quality of service and timeliness. The researcher espoused descriptive survey design. Population of the study contained 139 selected employees from 11 chosen furniture companies in Port Harcourt, Rivers State. Convenient sampling method was useful for the purpose of minimizing research errors. The primary data was collected from structured questionnaire while the secondary data was information received from company reports of various selected furniture companies. Taro Yamane’s formula was utilized to get a sample size of 103 employees for the study. Copies of questionnaire were distributed to collect data necessary in answering research questions. Spearman correlation coefficient was used to test the hypotheses. The findings of the study specified that there was a positive significant relationship between pay equity and quality of service, including the relationship between promotion equity and timeliness was statistically significant. It was concluded that organizational equity influenced employee productivity. The researcher recommended that furniture companies should have an effective policy on promotion without bias so as to enhance quick delivery of products and services.

ARDUINO BASED SMART SHOE SYSTEM FOR WOMEN SAFETY, DEFENSE AND INTEGRATED INTELLIGENT TRACKING

Mr. Sarphale D. Y. — 2025-04-18

In this project a smart safety shoe for women has been presented. The whole system uses GPS and GSM modems, electric shock circuit and Arduino microcontroller board. GPS receiver works as the detector, it fetches the location of the concerned accident in the form of latitude and longitude. GSM sends the latitude and longitude information as a SMS to predefined number with the help of programmed microcontroller. It also sends a phone call to one phone number. Microcontroller works as the backbone of the system. Whole system can be activated by just a single press of panic button. Hardware representation of the system shows overall compact assembled system inside a ladies shoe sole for greater reliability of stated work. Real time processing of data’s is presented in various figures.

RFID BASED SMART WIRELESS CHARGING STATION

Prof. N. S. Kazi — 2025-04-20

Vehicles using petrol and other internal combustion engines now on the road contribute to air, noise, and greenhouse gas pollution. As electric vehicles are a better alternative to curb the ongoing pollution it is vital to make amendments to the battery charging process to attain greater reliability. In electric vehicles charging batteries through chargers and wire is inconvenient, hazardous, and expensive, therefore we are trying to charge electric vehicle batteries by wireless power transfer at charging stations. The main function of wireless charging is to transmit power by inductive coupling method across a given space. It is possible to use a static or dynamic charging mechanism to perform wireless power transmission. This paper describes the wireless inductive coupling battery charging technology that has been used for electric car batteries. The driving circuit is used between the transmitter coil & receiver coil where MOSFETs, IR sensors, and Relays are used for switching operation. Whenever the vehicle is present or not, the transmitter coil circuit is switched ON or OFF, correspondingly.

GSM BASED REAL TIME HUMAN HEALTH MONITORING AND ALERT SYSTEM FOR CARDIAC

Aniruddha G. Patil — 2025-04-24

Cardiovascular diseases are a leading cause of mortality worldwide, often requiring immediate medical attention. Traditional hospital-based monitoring systems are inadequate for real-time tracking and emergency response, especially in remote areas. This project proposes a GPS and GSM-based Real-Time Human Health Monitoring and Alert System for Cardiac Patients. The system uses wearable sensors to continuously monitor vital parameters such as ECG, heart rate, blood pressure, and SpO2. In case of abnormalities, it automatically sends alerts along with real-time location data to healthcare providers and emergency contacts via GSM/GPRS. Integrated with IoT technology, the system enables remote access to health data through a mobile application, facilitating timely medical intervention. Designed to be cost-effective and user-friendly, this solution aims to enhance the safety and care of cardiac patients outside traditional healthcare settings.

NEURAL MIRROR: AI-POWERED DEEPFAKE DETECTION

Bhosale Om Santosh — 2025-04-25

In an era where artificial intelligence can replicate human likeness with alarming precision, the ability to distinguish authentic images from synthetically generated ones has become critically important. This paper introduces Neural Mirror, an AI-powered deepfake detection system designed to identify manipulated or AI-generated facial images with high accuracy. Leveraging a custom-trained deep learning model, Neural Mirror focuses on detecting subtle visual artifacts and inconsistencies commonly present in synthetic media. The system analyses facial textures, lighting mismatches, and structural irregularities that often escape the human eye, yet are detectable through deep neural pattern recognition. A user-friendly frontend powered by modern web technologies, including React, TypeScript, and Tailwind CSS, ensures real-time interaction and instant feedback. Neural Mirror aims to serve as a proactive tool in the fight against digital misinformation, enhancing trust in visual media and supporting ethical AI deployment.

IMAGE CONTRAST ENHANCEMENT METHOD BASED ON FUZZY LOGIC

Tavboev S. A. — 2025-04-25

This thesis analyzes fuzzy logic-based approaches for image contrast enhancement. Brightness differences between pixels are modeled using "IF-THEN" rules. Methods for enhancing contrast, reducing noise, and detecting contours using membership functions are explored. Fuzzy singletons, fuzzy inference systems, and defuzzification processes are highlighted as key components [3]. The cited approaches offer higher accuracy compared to classical methods. However, their computational complexity may be a limitation in resource-constrained systems.

ALGORITHMIC ANALYSIS FOR AN INTRODUCTION TO FUZZY SET THEORY

Tovboyev S. PhD — 2025-04-25

Mathematical fuzzy set theory and fuzzy logic are generalizations of traditional set theory and classical formal logic. Originally a theoretical concept, it has now evolved into a fully-fledged decision-making technique. This paper provides a review of existing algorithms that utilize fuzzy logic to enhance image quality. This article reviews the basic principles of fuzzy set theory, the principles of operation of fuzzy logic systems, and their real-life applications. It also analyzes complex decision-making processes and their effectiveness using fuzzy logic systems.

THE ROLE AND PLACE OF THE NATIVE (UZBEK) LANGUAGE IN LEARNING RUSSIAN AS A FOREIGN LANGUAGE

Saidov Zhur’at Sodirovich — 2025-04-25

This article explores the role of the native (Uzbek) language in the process of learning Russian as a foreign language. It analyzes the influence of phonetic, grammatical, and lexical features of the Uzbek language on the formation of linguistic competence in Russian. The author emphasizes the importance of taking into account the native language of learners in the methodology of teaching Russian as a foreign language and offers specific pedagogical approaches aimed at overcoming cross-linguistic interference and increasing the effectiveness of instruction.

AN INTELLECTUAL APPROACH TO THE USE OF NEUROMARKETING IN PHYSICAL THERAPY AND REHABILITATION

Elif Egzi Tuhta — 2025-04-28

This study examines in depth the potential use of neuromarketing in the field of physical therapy and rehabilitation and the possible effects of this use. Neuromarketing is an approach to analyze the conscious and unconscious decisions of individuals and aims to shape marketing strategies using psychological and neuroscientific data. In this context, the study focuses on developing various strategies for more effective delivery of services by taking advantage of the potential of neuromarketing in the health sector, especially in the field of physical therapy and rehabilitation. The article states that neuromarketing applications in this field can play an important role in terms of increasing individuals' commitment to treatment processes, accelerating recovery times and making treatment processes personalized. For example, by using neuromarketing techniques, patients' psychological states, attitudes towards treatment and motivation levels can be better understood. This understanding allows for more effective personalization of the treatment process and a stronger commitment to treatment can be created. In addition, treatment methods can be made more efficient by taking individual differences into account during the recovery process. However, the article emphasizes that this potential of neuromarketing should be used within an ethical framework and based on scientific foundations. Since the use of neuromarketing in the health field can target the unconscious processes of individuals, such an intervention should be implemented carefully and responsibly. It is stated that neuromarketing methods used in the treatment process should be implemented with transparency and ethical boundaries in order not to have a negative impact on the emotional and psychological well-being of patients. In conclusion, it is emphasized that neuromarketing has significant potential in the field of physical therapy and rehabilitation, but this potential should be used with ethical responsibilities, based on scientific foundations and considering the psychological and physiological well-being of individuals. Such an approach will both allow health professionals to provide more effective treatment and increase patients' commitment to the treatment process, helping them to achieve a faster and more efficient recovery process.

FABRICATION OF MOBILE ROBOTIC ARM

Mr. Masuti S. B. — 2025-04-28

The fabrication of a mobile robotic arm focuses on developing a cost-effective, portable, and energy-independent solution for lifting and transporting heavy loads, particularly cylindrical objects such as pipes or concrete components. This project aims to address the limitations of traditional cranes, including high costs, energy dependency, and bulkiness, which often make them unsuitable for small-scale industries, workshops, and remote construction sites. The mobile robotic arm is designed with a robust frame, an adjustable mechanical gripping mechanism, and a manually operated lifting system that ensures safety and operational efficiency without relying on external power sources.Mobility is achieved through the use of heavy-duty wheels, allowing the crane to operate effectively across diverse environments and uneven terrains. The system's simple construction and easy operation make it a practical tool for reducing manual labor, minimizing workplace injuries, and enhancing overall productivity. The project encompasses detailed design conceptualization, careful material selection, fabrication processes, and rigorous performance testing to ensure durability, stability, and load-handling capacity. The final fabricated machine offers a sustainable and reliable alternative to conventional lifting equipment, catering to the needs of small-scale industries and construction sites, while promoting safer and more efficient material handling practices.

CAM OPERATED HAMMER MACHINE

Prof. Bhawthanakar. A. A — 2025-04-28

A cam-operated hammer machine is a mechanical device that converts rotary motion into reciprocating hammering action using a cam and follower mechanism. It is widely used in industries such as metalworking, forging, and shaping applications. The system consists of a motor, a camshaft, a follower, a hammer, and a frame.As the cam rotates, it pushes the follower upward, lifting the hammer. When the cam lobe moves away, the follower drops, allowing the hammer to strike with force. The design ensures continuous and automated hammering with high precision, reducing manual labor and increasing efficiency. Different cam profiles can be used to achieve varied hammering speeds and forces, making the machine adaptable to specific industrial needs.This machine is cost-effective, easy to operate, and requires minimal maintenance. It is ideal for small-scale industries where automation of hammering processes is necessary. The study of cam profiles, material selection, and impact force analysis is crucial for optimizing performance.

FABRICATION OF MECHANICAL OPERATED SWEEPING MACHINE

Prof. Mane. M. B. — 2025-04-30

The "Fabrication of Mechanically Operated Sweeping Machine" project focuses on designing and constructing a manually powered device aimed at simplifying and improving the process of surface cleaning. Unlike electrically operated sweepers, this machine relies on mechanical motion, making it cost-effective, eco-friendly, and suitable for use in areas without access to electricity. The sweeping mechanism operates through the rotation of wheels connected to a gear-driven brush system, which collects dust and debris into a container. This design emphasizes user-friendly operation, low maintenance, and enhanced mobility, making it ideal for use in public places, institutions, and smallscale industries. The project contributes to sustainable cleaning solutions by reducing reliance on
electric power while maintaining efficiency and cleanliness.

DUAL PURPOSE BICYCLE FOR ELECTRICITY GENERATION & FITNESS

Mr. Koreshetti. V. V. — 2025-04-30

Pedal-powered electricity generation provides a low-cost, eco-friendly solution for areas lacking reliable power. By converting human effort into electricity, it supports small-scale uses like charging devices and running low-power appliances, while promoting sustainability and physical health. Although efficiency remains modest (32.5%–66.6%) due to energy losses in components, system improvements and integration with solar or wind sources can enhance performance. This approach holds strong potential for off-grid, emergency, and hybrid energy applications.