Volume 13 | Issue 5 |

 Abstract

This project aims to enhance the mobility and safety of visually impaired individuals by providing real-time object detection using the YOLOv5 deep learning model. Traditional navigation aids lack the ability to detect unexpected and irregular road hazards such as potholes and curbs. This system integrates object detection with auditory and haptic feedback mechanisms, offering real-time, user-centric assistance. The model is optimized for mobile and embedded deployment and achieves high accuracy and low latency in dynamic environments, promoting greater independence for users

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 Keywords

Object Detection, Deep Learning, YOLOv5, Assistive Technology, Visually Impaired, Real-Time Feedback, Haptic Alerts.

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 Abstract

This study assesses the efficiency of working capital management (WCM) and its impact on profitability over a five-year period (2019-2024). Key financial ratios--such as Current Ratio, Quick Ratio, Cash Ratio, Working Capital Turnover, Receivables Turnover, Payables Turnover, Inventory Turnover, Return on Net Working Capital (RONWC), Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE)--were analyzed to evaluate liquidity, asset utilization, and profitability trends. Correlation and regression analyses were conducted using SPSS, revealing a strong positive relationship between RONWC and NPM, indicating that efficient working capital deployment boosts profitability.A negative correlation between the Cash Conversion Cycle (CCC) and net profit highlights the need to reduce cash flow delays. Although financial ratios and operational metrics improved over the years, the findings suggest that further enhancement in asset utilization and tighter control of working capital components are necessary. As profitability increasingly depends on operational efficiency, strategic working capital optimization remains a key driver of sustainable financial growth and long-term competitiveness.

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Working Capital Optimization, Profitability, Financial Ratios, Cash Conversion Cycle, Operational Efficiency, Sustainable Growth

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 Abstract

ABSTRACT N-methyl-6-hydroxyquinolinium cation (M6HQ) were investigated via spectroscopic and chemical means. Dilution studies were examined at four different concentrations in methanol and at one concentration in DMSO. proton transfer and recombination and fluorescence decay process for M6HQ were studied. Absorbance and fluorescence of samples in DMSO provides excellent rasult. proton transfer can be observed on the picosecond, rather than the femtosecond timescale. All of the MH6Q derivatives synthesized show spectroscopically sufficient solubility in the shorter-chain alcohols, water, DMF, DMSO.

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 Keywords

KEY WORD: M6HQ N-Methyl 6-Hydroxy Quinolinium

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A charging station for electric vehicles (CS) is equipped with a grid connection, a diesel generating set, a system for energy storage, a solar PV array, and a battery to ensure reliable charging in linked, coupled, and detached modes. This work encompasses the examination and evaluation of these methodologies. The primary purpose of the charging station is to store energy in batteries. This is achieved through the employment of a solar photovoltaic (PV) system and a battery energy storage (BES) system. In the event that the battery's energy is depleted or the solar array is unable to generate electricity, the charging infrastructure can intelligently utilize a DG (Diesel Generator) unit or the grid as alternative sources of power. The DG sets are engineered to maintain a steady operational level of 80-85% of the model in order to optimize fuel efficiency. Global environmental pollution is caused by the transportation sector's high carbon dioxide emissions. The use of electric vehicles (EVs) presents a fantastic chance to cut carbon emissions. Using a battery switching station (BSS) at battery charging stations allows electric vehicles to be powered more rapidly and efficiently (BCS). Switching Technology is the best way to complete an extensive statewide trip. This essay examines the examination of electric vehicle performance in various electrical aspects, as well as the challenges and advantages of adopting them as a sensible step towards environmentally conscious and cost-effective transportation.

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 Keywords

Electric Vehicles, PV Array , Battery Swapping, Charging Station, Charging Modes, DG Set, Grid.

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 Abstract

An attempt is made to predict the stocks of the banking sector companies. Stock prices are dependent on many factors, some of which are common for most stocks, and some are specific to a type of company. For instance, a product-based company's stocks are dependent on the sales and profit, while a research-based company's stocks are based on the progress made in their research over a specified period. The main idea behind this thesis is that using libraries, we can potentially estimate how much each of these factors can impact the stock prices and how much of it is based on common factors like momentum. The selected companies for the experiment are Google, Amazon, Microsoft and IBM. We have used tinker symbols for the companies i.e. GOOG, AMZN, MSFT and IBM respectively. The companies were selected based on their popularity on the Internet, which makes it easier to get more data on the companies. If we look at the day-to-day movement in stock prices, a typical regression or LSTM approach and GRU which can give reasonably accurate results on stock prices. It works best with time series that have strong seasonal effects, several seasons of historical data, and works on data fetched by yfinance. This approach seems to show the prediction of the stocks with the help of graphs. The data it uses comes from yahoo finance which give the real time data for evaluation.

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 Abstract

Plant pests and diseases are big problems for farmers because they often mean big loses in crops and food production. The project's goal is to use machine learning to create an easy and useful system that can predict early signs of plant diseases and pest attacks. The system can help the farmer predict early and take quick actions to protect the crops and also improve production. It collects information from pictures of plants and things surrounding it. It uses advanced tools like CNNs for the analysis of the pictures and signs of diseases and bugs. It has information regarding the environment so that the prediction becomes more precise and reliable. The system is an easy-to-use solution that helps farmers reduce losses, apply pesticides only where needed, and make the best decisions for their crops. This project protects the farmer's produce and allows the crops to be grown more environmentally friendly. It can work well with almost all type of crops.

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 Keywords

Plants Pests and diseases, Image Quality, Sustainable, crops, CNN, Machine Learning

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 Abstract

In the modern digital landscape, the tourism and travel industry has been significantly reshaped by the adoption of web technologies. This research presents the design, development, and evaluation of feature-rich tours and travels website aimed at simplifying travel planning and improving user experience through automation, personalization, and real-time services. The platform acts as a unified solution for travelers, offering capabilities such as destination search, dynamic itinerary creation, hotel and flight bookings, curated travel packages, integrated customer support, and user-generated reviews. The system is built using contemporary web development frameworks to ensure responsiveness, scalability, and security. The backend architecture is integrated with third-party APIs to fetch live data related to flights, accommodations, weather conditions, and local attractions, ensuring that users receive current and relevant information. The front-end is designed with a user-centric approach, incorporating intuitive navigation, accessible UI elements, and interactive maps for enhanced engagement. A central feature of the platform is its intelligent recommendation system, which leverages user preferences, browsing behavior, and seasonal trends to deliver personalized travel suggestions. Additionally, the system incorporates a content management system (CMS) for real-time content updates and administrative control, along with data analytics tools to analyze user behavior and market trends. Security and privacy are addressed through secure payment gateways and GDPR-compliant data practices. The platform is evaluated through a case study involving real users, measuring performance, usability, satisfaction, and conversion rates.

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 Keywords

Tour and Travel Management, Travel Booking System, Personalized Itineraries, Real-Time Services, Web Application, User Experience, API Integration, Secure Payments.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Children with Autism Spectrum Disorder is a major shock for the parents and has distressing effects on social, family, psychological, emotional, economical and interpersonal relationship of the parents. Many factors can influence the quality of life of the parents with ASD challenged children in family. Objectives: 1. The present study is aimed to assess the quality of life among the mothers of children children's with ASD 2. To determine the association between quality of life and selected demographical variables like age, education, occupation, type of family, area of living, number of children's affected with disability, severity of disability. Methods: 30 mothers of children with ASD who presented to the Autism Clinic, Victoria Hospital at Kollam from January to March 2025 were enrolled after getting informed consent and study approval. Demographic data of children and mothers in the study group by convenient sampling were entered into a proforma and the mothers were administered with WHO-QOL BREF Questionnaire to assess the Quality of life. Results: The study results were found that mothers had low to moderate Quality of life in all the domains, i.e., physical health, psychological health, social relationship, environmental health. Higher mean score was observed in the social relationship domain. When the educational status of the parent is higher, mothers reported a low Quality of life score, though no such difference was seen with the educational status, occupation of mothers or other variables. Conclusion: These finding must be taken into account in providing better and more specific supports and interventions for mothers to improving Quality of life. Social support and different coping strategies should be developed to respond positively to individual changing needs of mothers from the stress of having a child with ASD.

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 Keywords

Mothers of children with Autism Spectrum Disorder, Quality of life

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Creative Commons Attribution 4.0 and The Open Definition

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Ethics plays a vital role in the corporate world, as it shapes the behaviour and decision-making processes of both shareholders and management. This comparative study aims to analyse and explore the differences and similarities between shareholder ethics and management ethics. By examining the ethical considerations, responsibilities, and accountability of these two key stakeholders, this study seeks to provide a comprehensive understanding of the ethical dimensions within organizations. The research will utilize a combination of theoretical frameworks, empirical data, case studies, and ethical theories to establish a foundation for analyzing and comparing the ethical behaviors of shareholders and management.

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no key words

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines user engagement within the Tamulpur College Library located in Assam. The engagement of library users is imperative to promote library services and allocate resources across diverse dimensions. User engagement, within the library framework, encompasses active participation in library services, programs, and resources. Users represent the maintenance of library facilities and services, and enhance the learning activities. The research discusses fundamental parameters concerning library maintenance and user engagement. Data for the study were acquired from this library, emphasizing user performance and the upkeep of library resources. The findings reveal that 26% of the book collection is allocated to the Bodo department, while other departments account for less than 15% of the total collection. Notably, 64% of the users are female, and 36% are male; additionally, 64% of users fall within the age bracket of 20 to 24 years. This outcome aids in the identification of user engagement strategies and performance across various library programs, services, learning practices, and additional activities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Library, Tamulpur College Library, Library Facilities, Library Services, Library User and User Engagement.

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Creative Commons Attribution 4.0 and The Open Definition