Volume 13 | Issue 4

 Abstract

The increasing reliance on solar energy necessitates accurate and efficient forecasting techniques to mitigate its inherent variability and improve integration into power systems. This review explores recent advancements in solar power forecasting using Machine Learning (ML) and Deep Learning (DL) approaches. It outlines the significance of forecasting, examines a variety of ML and DL models including Support Vector Machines, Random Forests, LSTM, CNN, and hybrid architectures, and discusses their effectiveness in handling meteorological and irradiance data. The report also highlights key metrics for model evaluation and provides comparative insights.

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Solar Power Forecasting Using Machine Learning And Deep Learning: A Review

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The Coimbatore consumer perception toward organic products with special reference to awareness, preference, and determinants form the ambience for the study. This research found that most of the respondents, especially youngsters and students, had knowledge of organic products and purchased organic products mainly because of health and environment conservation. Fruits and vegetables were the most popularly purchased items. However, hindrances in the form of a high price, scarcity of supply, and lack of confidence in certification anywhere cripple the acceptance of organic. Though a few constraints exist, consumers are generally favourable toward organic products. Development of affordability, improved distribution, and further public awareness will greatly enhance demand for organic products and support sustainable consumer behaviour.

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Organic product, Customer perception, Health benefits, Coimbatore city.

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Thermoplastic elastomers are materials showing the properties of thermoplastics at processing temperatures and those of elastomers at service temperatures. At low temperatures, the thermoplastic phase acts as crosslinks or reinforcing filler particles in between the soft rubbery phase. Polyethylene- natural rubber blends have promising properties like thermoplastic behavior. Latex product waste when replaces natural rubber in such blends, proves to be a potential substitute for producing several end products using thermoplastic elastomers. Also, recycling and reusing waste rubber is the need of the hour, which is being realized in this process.

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Thermoplastic elastomer, Polyethylene- natural rubber blends, Latex product waste, dynamic vulcanization, mechanical and rheological studies.

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Heart disease, also known as cardiovascular disease (CVD), encompasses a variety of conditions affecting the heart and blood vessels. According to the World Health Organization (WHO), CVDs are the leading cause of death globally, claiming approximately 17.9 million lives each year. Early detection and diagnosis are vital for preventing complications and improving patient outcomes. Traditional methods, including ECG interpretation, echocardiography, and angiography, often require specialized expertise and significant time. In recent years, Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), has shown tremendous promise in aiding the detection and diagnosis of heart disease by automating and optimizing these processes.

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Heart Disease Detection Using Machine Learning & Deep Learning: A Review

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The study was conducted to evaluate passengers' awareness and satisfaction regarding the Chalo app in Coimbatore. As more people rely on digital tools for convenient public transport, the Chalo app is gaining popularity. It offers helpful feature such as live bus tracking, estimated arrival times and route planning, all of which contribute to a more efficient travel experience. In a city like Coimbatore, where public transportation plays a vital role in daily commuting, digital solution like Chalo prove to be highly beneficial. However, despite its advantage, many passengers are still unaware of the app. Additionally, some users have reported issues such as app crashes, inaccurate bus timing. The study suggests that increased awareness efforts and improvements in the app's accuracy and real-time functionality are needed. Overall, while the Chalo app is a valuable tool for enhancing public transport, it requires regular updates to meet the evolving needs of its users.

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Public Transport

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Celebrity endorsements and their counterparts have been examined in the study to highlight their possible impacts on consumers' buying behaviour relative to the fast-moving consumer goods (FMCG) sector. A sample of 120 respondents has been drawn from this exercise in testing the effectiveness of both forms of endorsements for building trust in the brand, recalling the brand, and, ultimately, deciding on purchases. What they found is that even though celebrity endorsement brings the attention and visibility of a brand, the endorser actually tends to be perceived as more genuine and, therefore, more trustworthy. Honest feedback and relatability of the non-celebrity endorser make this more credible in most cases. However, celebrity endorsements still have a better edge when intending to influence buying decisions-as with younger demographics. As such, the conclusions drawn from the study are that an ideal combination of both the endorsements will maximize the marketing impact and consumer engagement.

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Celebrity endorsement, FMCG Advertisement, impact of celebrity and non celebrity advertisement.

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The autonomous multipurpose robot system technology is transforming the restaurant industry by enhancing service efficiency and customer experience. This study presents a comprehensive approach that combines electronic menu (e-menu) systems with autonomous multipurpose robot to address challenges such as order inaccuracies, service delays, and labor shortages. The e-Menu which uses LCD display provides a real time update to customers with an interactive and visually appealing platform to browse and order dishes, including detailed information about ingredients and allergies. The multipurpose robot which uses line follower technique assists in taking orders and delivering food, allowing human staff to focus on other tasks such as cooking and customer service. The main aim is to automate and improve the ordering and billing processes in restaurants along with real time customer interaction and feedback.

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Autonomous Robot, Restaurant Service Robot, Multi-purpose Robot, Electronic Menu, Smart RestaurantsDelivery, Efficiency, Contactless Service

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 Abstract

Bharat mein balatkat kanoono ka vikas evam ehtihasik paripekshya

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Bharat mein balatkat kanoono ka vikas evam ehtihasik paripekshya

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Forecasting is crucial in supply chain management, influencing inventory control, production planning, and customer satisfaction. As supply chains grow more complex and volatile, traditional forecasting methods often fail to deliver accurate and timely insights. This paper examines the impact of artificial intelligence (AI)-based forecasting models on supply chain resilience and operational efficiency. Using a combination of literature review, industry case studies, and simulation modeling, we demonstrate that AI-driven forecasting improves demand prediction accuracy, reduces the bullwhip effect, and enhances overall performance. The results show that organizations adopting AI-powered forecasting can achieve significant gains in efficiency and adaptability, particularly in response to supply chain disruptions. These findings offer valuable guidance for businesses seeking to implement AI technologies to optimize supply chain operations.

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Supply chain Management, Forecasting, Artificial Intelliegence, Machine learning.

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In the current medical insurance claims process, there are problems of low efficiency and complex services. When a patient applies for medical insurance claims, he/she must go to the hospital to apply for a diagnosis certificate and receipt and then send the relevant application documents to the insurance company. The patient will not receive compensation until the company completes the verification with the patient's hospital. However, we can improve the current dilemma through blockchain technology. Blockchain technology can effectively open up the information channels of the insurance industry and medical institutions, promote industry integration, and enhance the ability of insurance companies to obtain information.In this project we proposed an integrated healthcare system in which all the hospitals and insurance companies will be able to do registration in our system. The patient's health record eg medical bills, reports, admit cards etc will be maintained on blockchain servers in encrypted format and patient will be able to claim the insurance. The insurance company will be able to review all the bills and reports. As all data is maintained on blockchain servers there is no possibility of manipulation in bills and reports hence transparency will be maintained and security of the claims processing will be increased. This blockchain-based approach offers significant improvements in data privacy, security, and efficiency, and has the potential to revolutionize the management of healthcare records by ensuring that all critical healthcare information--patient data, medical documents, and insurance records--are securely and transparently handled in a unified systemThe integration of these three key data sets within a single blockchain framework ensures seamless interaction and verification of records across all stakeholders. The use of a decentralized ledger enhances data security, reduces fraud, and provides an auditable trail of all transactions, ensuring accountability. Furthermore, the system allows for faster claims processing, minimizes administrative overhead, and improves the accuracy of medical treatments by ensuring that accurate and up-to-date patient information is always available.[3]

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Data intigrity,patient data privacy,healthcare record,Decentralized health system

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The increasing emphasis on sustainable transportation has led to a significant rise in the development and adoption of electric vehicles (EVs) worldwide. Among the emerging leaders in this domain, Ola Electric has positioned itself as a key player in India's electric mobility revolution. The present study, titled "Consumer Adoption of Ola Electric Vehicle: Exploring Consumer Behavioural Intentions," aims to analyze the impact of various consumer adoption factors on consumer preference for Ola EVs. This research emphasizes the growing importance of understanding consumer behaviour as a crucial step toward fostering the transition to eco-friendly transportation alternatives. Primary data for the study has been collected through structured questionnaires administered to a diverse group of respondents, including existing and potential users of Ola electric vehicles. The data was analyzed and interpretated using statistical techniques such as descriptive statistics, factor analysis, and regression analysis, primarily using tools like SPSS. The Kaiser-Meyer-Olkin (KMO) test and Bartlett's test of sphericity used to determine sampling adequacy and data suitability for factor analysis. Principal Component Analysis (PCA) will be employed to identify the underlying dimensions influencing consumer behavioural intentions. The present study confirms that Perceived Economic Benefits (PEC), Environmental Concern (EC), and Social Influence (SI) may affect Behavioural Intention (BI) through constitute of Attitude (AT) of individual, but Self Image (SI) has a direct effect on Consumer's adoption of Ola Electric Vehicles in the region.

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Consumer Adoption, Perceived Economic Benefits, Environmental Concerns, Social Influence, Self Image, Attitude, Behavioural Intention

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We know India is a culturally rich and religiously diverse country.Every state has different taste of it which are unique in their own way .It is not possible to cover each of the rituals, traditions ,myths in one paper.For my paper i have focused on a ritual which is very significant to the Rajbangshi people of North Bengal especially in coochbehar. Every belief is related to the origin of any community and interrelated with the heritage of them hence it becomes very important for them.The Rajbanshis worshiped many deities and perform many rituals.One such indigenous belief is 'Masan Puja'.It is losing its importance due to the modernisation and education in the community.This paper also covers the 'Masan painting' inspired by this deity masan that are used during the puja along with the idol.The purpose of this paper is to draw attention to the cultures of small tribal groups which are disappearing over time .

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Masan Puja,folk, rajbangshi,dying culture

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This project introduces an innovative online healthcare document management system designed to streamline insurance claims processing by leveraging blockchain technology. By storing medical transactions on a blockchain, the system ensures enhanced transparency, security, and immutability, effectively mitigating risks associated with data tampering and unauthorized access.A key feature of the system is its integration with wearable health tracking devices, facilitating the collection of accurate and real-time health data. This data can be securely linked to patients' health records, enabling authorized healthcare providers to access pertinent medical information remotely. Such integration not only enhances patient care but also reduces the necessity for in-person consultations, thereby increasing efficiency in healthcare delivery.The application of blockchain in this context offers significant advantages, including decentralized data storage, enhanced patient privacy through encryption and access controls, and the use of smart contracts to automate and validate insurance claims processes. These features collectively contribute to a more secure, transparent, and patient-centric healthcare ecosystem. this project exemplifies the transformative potential of combining blockchain technology with healthcare data management. By addressing critical issues of data security and interoperability, the system paves the way for more efficient and trustworthy healthcare services, with the added benefit of facilitating seamless insurance claim processes.

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Data intigrity,patient data privacy,healthcare record,Decentralized health system

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This project presents the design and implementation of a smart irrigation system using IoT technology to optimize water usage in agricultural fields. The system integrates various sensors, including soil moisture, temperature, and humidity sensors, to collect real-time environmental data. This data is transmitted via a microcontroller to a cloud platform, where it is monitored and analyzed. Based on predefined thresholds, the system automatically activates irrigation when necessary, ensuring optimal soil moisture levels. The proposed system not only reduces manual intervention but also promotes water conservation and efficient farming practices. By leveraging IoT, the project aims to support sustainable agriculture and enhance crop productivity through intelligent automation and real-time decision-making.

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IoT (Internet of Things) Smart Irrigation, Soil Moisture Sensor, Automated Farming, Precision Agriculture, Environmental Monitoring, Water Conservation,Microcontroller,Real-time Data,Sustainable Agriculture

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The Centralized Resource Administration Dashboard is a comprehensive and integrated platform designed to improve the efficiency and transparency of resource management within an organization. In many institutions and enterprises, resource tracking and administration are often fragmented across multiple systems, leading to inefficiencies, duplication of efforts, and difficulty in obtaining accurate data for decision-making. This dashboard addresses these challenges by consolidating all resource-related information--such as human resources, equipment, digital assets, infrastructure, and financial tools--into a single, centralized interface. With role-based access control, users can manage, monitor, and analyze resources according to their specific administrative level or department. The system provides real-time data visualization, automated notifications, and intelligent analytics to help users make informed decisions, reduce wastage, and optimize utilization. It includes features such as resource booking and allocation modules, request and approval workflows, performance tracking, usage history, and customizable reporting tools. Integration with existing enterprise systems (like HRM, ERP, or inventory software) is made possible through secure APIs, ensuring seamless data flow and consistency across the organization. This centralized approach enhances organizational accountability by keeping a transparent record of resource movements and usage trends. It supports strategic planning and forecasting by offering valuable insights derived from historical and current data. The dashboard is built to be scalable and adaptable to different sectors, including education (for managing classrooms, labs, faculty), healthcare (equipment, staff, and facilities), corporate settings (project resources, departments, budgets), and government institutions (public assets, manpower, logistics). Ultimately, the Centralized Resource Administration Dashboard empowers organizations to reduce overhead, improve collaboration, and make smarter, data-driven administrative decisions. Technologically, CRAD can be built using a modern web stack, incorporating frameworks like React or Angular for the front end, and Node.js, Django, or Laravel for the back end. A robust database such as PostgreSQL or MongoDB would store and manage resource data, while APIs facilitate integration with other enterprise systems like ERP, CRM, or HRM platforms. Security is a priority, with features like encrypted data transmission, audit logs, and user authentication systems ensuring that sensitive information remains protected.

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Smart Administration, Centralized System, Resource Management, Centralized Resource Dashboard, Web-Based Administration Panel, Online Resource Management System, Unified Dashboard Interface, Centralized Web Dashboard, Admin Control Web Panel, Resource Monitoring Website, Department Dashboard Portal, Real-Time Web Dashboard

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With the objective to improve banking operations and user experience, this paper introduces SVR Bank, a digital bank management system. Key functions including account administration, transaction processing, and a password recovery system via name and cell phone number are all included in SVR Bank, which prioritizes security, scalability, and user-friendliness. The dark- themed user interface of the system is contemporary, visually appealing, and functionally optimized. In order to address the difficulties in putting important banking functions into practice while maintaining a safe and user-friendly platform, this study investigates the system's architecture and development. SVR Bank provides both users and administrators with a smooth and effective digital banking experience, acting as a comprehensive solution for contemporary banking environments.

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Digital Banking ,Bank Management System

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Women entrepreneurs have been making a significant impact in all segments of the economy like retail trade, restaurants, hotels, education. Women are active participants in the small and micro enterprises (SME) sector throughout the world, especially those running informal enterprises. Women sector occupies nearly 45% of the Indian population. However, research has shown that women entrepreneurs face particular socio-cultural, educational and technical constraints to starting, and growing their own enterprises (International Labour Organization, 2003:1). All business owners face certain challenges, but women, because of their gender, often have additional challenges and obstacles that their male peers are less likely to encounter. Indian women have to go a long way to achieve equal rights and position because traditions are deep rooted in Indian society. In addition women entrepreneurs have a number of opportunities which they are not fully taking advantage of such as women associations, conferences and international markets. The purpose of this study is to analyse the Strengths, weakness, Opportunities and Threats faced by the Women Entrepreneurs.

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Women entrepreneurs, Role of women entrepreneurs, Functions and Strength.

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Some Of The P3 Colorable Gra

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Some Of The P3 Colorable Gra

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In modern communication systems, ensuring data security during transmission is a fundamental requirement. This project introduces a wireless data messaging system using RF (Radio Frequency) technology integrated with encryption and decryption mechanisms for secure communication. Aimed particularly at rural and remote areas, the system employs Zigbee-like RF modules for two-way communication between devices. Central to the system is a PIC microcontroller that processes and transmits messages entered via a PL2303 USB-TTL interface on a laptop. The received messages are decrypted and displayed on an LCD, with additional alert functionality provided by a buzzer. The project demonstrates practical implementation of secure RF communication using embedded C programming, and incorporates components such as regulated power supplies, crystal oscillators, and LED indicators. This system has applications in emergency services, public safety announcements, and other critical communication needs

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RF Module, CP Module, Encryption, Decryption, PIC Microcontroller

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