Volume 13 | Issue 4 |

 Abstract

Life insurance is a vital financial tool that offers protection and serves as a long-term investment avenue. This study investigates consumer perceptions, preferences, and the factors influencing investment decisions in life insurance products. Based on a survey of 63 respondents, the study evaluates various insurance policies and their investment potential. Findings indicate that a majority of investors consider life insurance for tax benefits and financial security, yet concerns regarding high premiums, complex policy structures, and lack of transparency impact their decision-making. The study also presents comparative insights between life insurance and other investment options like mutual funds and fixed deposits. Recommendations include enhancing policy transparency, reducing premium costs, and increasing awareness regarding investment-linked insurance products.

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 Keywords

Life Insurance, Investment, Risk Management, Tax Benefits, Financial Planning, Consumer Behavior

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 Abstract

The research suggests the joint effect of incubation and funding towards entrepreneurial start-up success. Funding supplies strategic capital that is needed for product development, marketing, and expansion, while incubation provides strategic advice, networking, and business expansion services. The research analyzes the joint effects of these two towards start-up survival, expansion, and long-term viability.With a mixed-methodology, the study applies quantitative assessment to analyze the interconnection of startup success, funding, and incubation, and qualitative case studies to gather more information. Results show that startups that receive both incubation and funding support perform better than those receiving funding support or incubation support separately. It suggests that there is a necessity for integrated support systems with a mix of financial and non-financial forms of assistance to obtain the best entrepreneurial outcomes.

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 Keywords

Entrepreneurship, Startup Success, Funding, Business Incubation, Venture Capital, Business Growth, Startup Ecosystem, Innovation, Entrepreneurial Support, Small Business Development

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 Abstract

Electrical hazards pose serious risks in industrial, commercial, and household environments, often leading to electric shocks, fires, and equipment damage. This project focuses on designing a wearable electrical hazard detection system using a transistor-based circuit instead of complex microcontrollers. The system detects live electrical fields and leakage currents, providing real-time alerts through an led and buzzer. The circuit is lightweight, portable, and energy- efficient, making it suitable for electricians, industrial workers, and general users. Rigorous testing and troubleshooting ensured accuracy, stability, and reliability. This project contributes to enhanced safety measures and can be further improved with wireless alerts, smart integration, and advanced hazard prediction.

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 Keywords

Leakage current, Hazard, Electrical shocks ,Real time alert

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 Abstract

In this pioneering research, we leverage the direct and fixed-point approaches to meticulously prove the Ulam-Hyers-Rassias stability of a cubic functional equation characterized by a complex and innovative mean sum formulation of successive function variables in quasi-?-Banach space.

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 Keywords

Cubic functional equation, UHR Stability, Quasi-Beta- Banach space, Complete Normed Space, Fixed point, Hyers Approach, Contractive Mapping.

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 Abstract

The value chain in Gujarat's solid-liquid separator sector is examined in this research report. The study analyzes Rotofilt Engineers Ltd.'s major and supporting activities using a descriptive research design. Surveys and questionnaires were used to collect primary data, and corporate records and industry reports were used to obtain secondary data. The results highlight important obstacles and potential opportunities for value chain optimization, especially with regard to resource allocation, cost structure comprehension, and customer value delivery. The analysis advances our knowledge of this industry's competitive advantage and strategic decision-making.

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 Keywords

Supply Chain, Manufacturing, Competitive Advantage, Process Efficiency, Solid-Liquid Separation, Gujarat, Industrial Equipment, Value Chain Analysis

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The safety and efficiency of railway transportation depend significantly on the integrity of rail tracks. Traditional methods of rail track defect detection are often time-consuming and prone to errors. With advancements in artificial intelligence, deep learning techniques have emerged as a powerful tool for automating defect detection, improving accuracy, and reducing maintenance costs. This paper presents a comprehensive review of deep learning-based approaches for rail track defect detection, highlighting various methodologies, datasets, and challenges in the field. Furthermore, it discusses real-world applications, potential improvements, and future research directions to enhance railway monitoring systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Artificial Intelligence, Accident, Neural Networks

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The monitoring Spy The goal of the robot project is to create a mobile robot that can navigate indoor spaces on its own and carry out a variety of security and surveillance-related duties. Real-time video data transmission, obstacle detection, and remote operator communication should all be possible for the robot. The robot ought to be resilient, stealthy, and situation-and scenario-adaptable. The project intends to show that employing robots for security and surveillance purposes in a variety of fields, including the military, law enforcement, industry, and the home, is both feasible and promising. The primary objective of the suggested system is to offer an economical and efficient solution for missions involving surveillance and reconnaissance. There are numerous applications for the robot, including journalism, security, intelligence, law enforcement, and the military. The robot can gather important data covertly and enter areas that are hazardous or challenging for people to access. The robot may also sneakily interact with the environment or the victim, and if needed, it can flee or destroy itself. By offering a remote-controlled, safe, and effective way to rescue injured persons, the Revolutionary Rescue Unmanned Vehicle seeks to transform emergency response and wartime situations. Because of its ability to manoeuvre over challenging and dangerous terrain, this autonomous vehicle can remove wounded soldiers from combat areas without endangering other human rescuers. Its sophisticated sensors, cameras, and communication devices allow for accurate mane variability and real-time operator feedback, guaranteeing efficient navigation and prompt rescue operations.

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 Keywords

SPY Robot, Sensor, Bluetooth, Motor

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 Abstract

This study examines how Coimbatore City consumers view Zudio's brand image by examining the variables that affect consumer loyalty, brand awareness, and purchase behaviour. Zudio, a quickly expanding retail brand owned by Tata Trent Limited, provides stylish, reasonably priced clothing to a wide range of customer demographics. This study investigates consumer preferences, brand comparisons, and purchasing reasons using a structured survey. Although issues like product availability, customer service effectiveness, and rivalry from companies like Max and H&M still exist, research indicates that Zudio's appeal is largely driven by its affordable prices and stylish designs. In a competitive fashion retail environment, the study offers suggestions for strengthening brand loyalty, improving customer experience, and improving Zudio's brand positioning. Fast-fashion company Zudio, owned by Tata Trent Limited, has grown quickly thanks to its stylish apparel and reasonable prices. Using a structured survey with 120 respondents, the study focuses on young urban consumers between the ages of 18 and 35. Brand perception, product quality, pricing, customer service, and rivalry from companies such as Max and H&M are among the important elements that are examined. The results show that although customer preference is influenced by pricing and trendy designs, issues like product availability, lengthy billing lines, and trial room accessibility have an effect on the entire shopping experience. Furthermore, the report emphasizes how sustainability and digital influence shape customer choices.

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In a competitive fashion retail environment, the study offers suggestions for strengthening brand loyalty, improving customer experience, and improving Zudio's brand positioning.

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 Abstract

Customer satisfaction has become a critical factor in business success as competition in the food delivery industry has increased. While service quality and pricing have been thoroughly researched, the impact of brand image and market value on customer satisfaction is largely unknown. This study looks into the impact of these characteristics, specifically how brand perception and financial stability affect consumer trust and loyalty. A descriptive research design was adopted, which combined primary and secondary data sources. Surveys, interviews, and focus groups were used to acquire customer insights, with industry publications providing further context. The data were examined using regression and moderation analysis to determine the relationship between brand image, market value, and customer satisfaction. The findings show that a strong brand image considerably improves customer happiness, while market value is critical in reinforcing customer trust. Furthermore, market value was discovered to regulate the association between brand image and satisfaction, emphasising its importance in driving consumer behaviour. This study adds to the literature by including financial stability as an important element in consumer decision-making. To increase client trust, firms can work on developing a strong brand presence and implementing transparent financial processes. Future research should look at these relationships across different market groups and assess the influence of sustainability initiatives in brand perception.

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 Keywords

Brand image, market value, customer satisfaction, consumer trust, financial stability, the food delivery industry, business growth, market positioning, and consumer loyalty

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 Abstract

Through machine learning and computer vision the Genage Detector uses advanced technology to forecast human characteristics based on image pictures. The deep learning system uses large dataset training models to generate precise outcomes. Both administrative and end-user modes let users access the system easily while the internal database tracks user behavior and stored trait predictions for research purposes. The Genage Detector shows output right after video processing happens. This report explains what the project aims to achieve and details its technical capabilities to serve different industries including marketing, health and security fields. The Genage Detector breakthrough technology analyzes human features by reading video footage. People should have better ways to handle digital image and video content since this data type reduces daily. Using advanced facial image analysis Genage Detector enhances user experience and creates new ways to use its age-gender prediction data. The Genage Detector serves as an effective and dependable technology for detecting people's age and gender. The app uses advanced deep learning models to handle images instantly as it returns exact and useful outcome data. The technology gives useful information to marketers for personalized campaigns and helps doctors understand patient health risks through age-based analysis.The Genage Detector puts user needs first because it creates a basic system that lets you add new pictures or pick live video streams for analysis. Through its full backend system the Genage Detector records and stores user actions while keeping track of predicted traits to enhance future prediction accuracy.

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 Keywords

Genage Detector, Machine Learning, Computer Vision, Future Prediction Accuracy.

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Creative Commons Attribution 4.0 and The Open Definition