Volume 12 | Issue 4

 Abstract

The "Crypto Crowdfunding using Blockchain" project presents a decentralized crowdfunding platform leveraging blockchain technology for transparency, security, and efficient fund management. This innovative platform facilitates seamless interaction between Campaign Creators, Admins, and Users, ensuring a fair and trustworthy ecosystem for fundraising initiatives. Utilizing Next.js for the front-end interface, Solidity for smart contracts, and integrating Metamask for wallet functionality, the project employs a robust technological stack to realize its objectives. The consensus mechanism, inherent to blockchain, enables agreement on the validity of transactions and campaign details across the network without the need for a central authority and this is achieved through proof-of-stake protocols. Campaign Creators initiate campaigns through a user-friendly interface, which undergoes approval by Admins to maintain platform integrity. Users engage securely through their crypto wallets, contributing to approved campaigns, and tracking their impact. The platform's architecture, encompassing smart contracts, PostgreSQL database, and user authentication mechanisms, ensures data integrity and user security.The project's purpose is to revolutionize crowdfunding, fostering a transparent, decentralized environment where individuals can support causes they believe in with confidence. By combining block-chain's decentralized nature with a userfriendly interface and robust security measures, CryptoCrowdfunding aims to redefine the crowdfunding landscape, empowering both campaigners and contributors alike.

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 Keywords

BlockChain ,CryptoCrowd Funding, Solidity, SmartContracts, Ethereum BlockChain.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Indian writing in English widely focuses on marginality of caste, class and race. There are variations about marginality. It directly centers on the oppressed section of the society which is largely neglected and ignored purposefully. They are put to remain the underdogs to bear the brunt of suppression of the society. It reflects the social attitude of the prevailed time. The literary works highlight the reality of such sections which are commendable for their entire setup. Similarly, Mulk Raj Anand and Kiran Desai become the voice of the exploited in Coolie and The Inheritance of Loss respectively. Their recognized works help to understand the causes of marginality and also suggest the solutions for the problems. The eminent writers extensively criticize the prevailing methods through their works. The present research paper sincerely endeavors to study the marginalized labour bringing to light its effects on individual oppressed sections of the society.

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 Keywords

marginality, suppressed, exploited, humiliation, ecology

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 Abstract

Handwritten character recognition has found application in a wide range of industries, including banking, healthcare, and many more that handle handwritten documents. Handwritten Character Recognition (HCR) is the process of transforming handwritten text into a format that can be read by machines. Handwritten characters can vary in form, size, and placement, even if they are written by the same person. This makes them challenging to identify. Scholars have utilized many techniques, features, and classifiers to streamline the process of handwritten text recognition. Nowadays, the ability to recognize handwritten writing is almost essential. Initially, we had to compose texts by hand when utilizing this technology, which resulted in several errors. Handwritten text recognition is practically essential in today's environment. We made a lot of blunders when we had to compose texts by hand when we first started using this technology. Physical work was needed for data administration in the physical world in order to meticulously arrange things, which resulted in waste and inefficiency.Traditional storing methods have also been hampered by the need for long-term data storage. Thankfully, we have the ability to efficiently organize, store, and access data thanks to current technology.We have expedited the saving and retrieving of data that was kept in the traditional manner by implementing software for handwritten text recognition. Furthermore, this technique enhances the data's security in yet another way.

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 Keywords

CNN,RNN,CTC,TensorFlow, OCR

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 Abstract

The human relations are stringed in a bond of love and attachment. There is an existence of feelings in the human world that lead them towards the longings for their loved ones and dear ones. The human existence is barren without a family and friends. A man cannot lead a desolate life. There is no existence of a man if his liveliness is denied. This denial causes in suffering and alienation from the world. The life story of Munoo, an accidental coolie, evokes such estrangement where his existence is questioned. He is burdened by the nostalgia that he is left abandoned and alone in the world. Mulk Raj Anand's Coolie presents such vivid instances that bring nostalgia and melancholy for the readers. The present research paper sincerely endeavors to highlight the pangs of separation, loss and longing in the course of Munoo's life.

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 Keywords

: alienation, loss, abandoned, longing, separation, affection

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 Abstract

The research paper delves into the significance of internal auditing and risk management practices within audit firms in Bangalore, emphasizing their influence on corporate governance, transparency, and value generation. The study aims to offer practical insights into how these practices enhance audit efficiency and credibility. It includes literature reviews, research methodology, hypotheses, objectives, and data analysis. Survey results underscore the importance of collaboration between auditors and management, as well as the necessity for continuous adaptation and innovation in auditing procedures. Additionally, the paper presents a compilation of articles and studies on internal audit, risk management, and firm performance in Indian audit firms, covering topics such as improving audit quality, risk mitigation, evolving trends in internal audit, and the interplay between internal audit, risk management, and firm performance.

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 Keywords

Mauryan Empire, crucial role , Internal Auditors , risk management

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 Abstract

The cough it is a most common problem face by the all people. Coughing is a frequent respiratory symptom that can significantly affect one's quality of life. There are two types of cough one is the dry cough and second is wet cough. The dry cough is no mucous and secretion while in wet cough there is cough mucous or secretin. The syrup is the most often used and well-like dose form for treating colds and coughs sinceit makes patient compliance easier. The gulvel cough syrup was formulated using natural ingredients such as gulvel steam powder & Tulsi, Turmeric powder, Ginger, Clove as main ingredient along with Honey. Due to these herbs anti-inflammatory, anti-tussive, expectorant, immunomodulatory, and antioxidant properties, Ayurveda has been usingcompounds. Honey was used as the base and sweetening agent. Gulvel is an effective modulator and aids in the creation of a reboost immune system. Giloy helps relive cough due to pollen, smoke, or pollution allergies. The formulation was carrid out at the laboratory scale and evaluated for several characteristics, including pH, viscosity, density, and stability testing. During the evalution process, the formulation was found to be stable and appropriate for use as a cough remedy. It was found that these formulations anti-tussive action, even at the lowest dosage, was significantly more effective to the reference substance.

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Gulvel , Anti-oxidant, expectorant, Mucus, Inflammation, decoction extraction, Evaluation.

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 Abstract

In the most of the developing countries, the effort of collecting electricity utility meter reading and detecting illegal usage of electricity is a very difficult and time consuming task which requires a lot of human resources. Energy meter reading and monitoring system using Internet of Things (IoT) present an efficient and cost-effective way to transfer the information of energy consumed by the consumer wirelessly as well as it provides facilities to detect the illegal usage of the electricity. Aim of this study is to measure electricity consumption in the household and generate its bill automatically using IoT and telemetric communication techniques. Also this study aims to detect and control the energy theft. The Arduino microcontroller is employed to coordinate the activities with digital energy meter system and to connect the system to a WiFi network and subsequently to the Internet and Server. A passive infrared sensor is engaged with the system to detect when any illegal alteration happen in the metering system. In such case, system will send an alert to the server as well as it has the facility to disconnect and reconnect the electricity supply automatically. The proposed system is capable of continuously monitor and being notified about the number of units consumed to the energy provider and consumer. The energy consumptions are calculated automatically and the bill is updated on the internet by using a network of Internet of Things. This automation can reduce the needs of the manual labours.

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 Keywords

Microcontroller, ESP8266 Wi-Fi Module, Energy Metre, IoT, Energy Monitoring

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 Abstract

This study proposes an adaptive weighted fusion classifier, integrating Random Forest, Naive Bayes, and Support Vector Machine algorithms, for fraud detection in Unified Payments Interface (UPI) transactions. By combining the strengths of these algorithms, the classifier accurately identifies fraudulent activities while minimizing false positives. The approach adapts to changing fraud patterns and transaction dynamics, ensuring effectiveness in detecting known and emerging fraud patterns. Experimental evaluations on real-world UPI transaction datasets demonstrate superior fraud detection accuracy compared to individual algorithms or traditional ensemble methods.

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UPI, SVM, random forest, location, fraud

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 Abstract

The shipping industry, a significant contributor to global CO2 emissions, is under increasing pressure to transition towards more sustainable practices. The feasibility of using green logistics vessels as a solution to this challenge is yet to be addressed. The environmental, economic, and operational aspects of green logistics vessels along with the potential reduction in greenhouse gas emissions, and the cost-effectiveness compared to traditional vessels, are the same as the operational implications of this transition. The research includes a comparative analysis of the performance of green logistics vessels and conventional vessels, considering factors such as fuel efficiency, cargo capacity, and maintenance costs. It explores the regulatory and policy environment, identifying potential incentives and barriers to the adoption of green vessels. A comprehensive evaluation of the feasibility of introducing green logistics vessels in the shipping industry offers valuable insights for stakeholders and policymakers. It serves as a guide for future decision-making and strategic planning in the pursuit of a more sustainable shipping industry.

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 Keywords

Green Logistics, Sustainable Shipping Industry, Traditional Vessels.

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 Abstract

This research paper explores the potential of artificial intelligence (AI) and data science in transforming the Indian sports and games industry. It delves into the various applications of these technologies across different domains, including player performance analysis, team strategy and tactics, fan engagement, talent identification, broadcast optimization, and more. The paper highlights successful case studies and examples from the global sports industry, showcasing how AI and data science are being leveraged to enhance decision-making, improve athlete performance, and enrich the fan experience. The target audience for this research paper includes sports organizations, coaches, athletes, and industry stakeholders who can benefit from the insights and strategies presented. By reading this paper, the readers will gain a comprehensive understanding of how AI and data science can be leveraged to drive innovation, improve performance, and enhance the overall sports ecosystem in India. The paper also identifies the specific barriers and obstacles that are preventing the Indian sports industry from more widely adopting and incorporating AI systems and solutions, and proposes a set of strategic steps that can be taken to engage AI more effectively. The paper's findings and recommendations can have a significant impact on the mindset and decision-making of the Indian sports industry. It aims to inspire sports organizations to embrace the transformative potential of AI and data science, and to take proactive steps towards building the necessary infrastructure, talent, and culture to unlock the full benefits of these technologies. By implementing the proposed strategies, the Indian sports industry can position itself as a global leader in the application of AI and data-driven solutions, ultimately elevating the country's standing in the global sports landscape.

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 Keywords

Artificial Intelligence (AI), Data Science, Sports Industry, Performance Analysis, Fan Engagement, Talent Identification, Broadcast Optimization, Transformation

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Abstract: This paper introduces a privacy control model to optimize cloud storage. The main goal is to provide data security, confidentiality, integrity and availability to cloud service providers at a low cost, while ensuring that users trust them. To achieve this goal, a clear security strategy to protect data during storage and transmission in the cloud is aimed. This framework aims to keep costs low while maintaining data security and accuracy. The solution compresses high-resolution images and reduces storage size by 60%. The device is divided into blocks, and the blocks are encrypted using the owner's private key, providing two layers of security. Only users authorized to access the file can decode it and restore it to its original format. Create a signature to verify the authenticity of the information. If an unauthorized user tries to update the data, the audit process can identify the relevant data. Using asymmetric keys, when users send data to the cloud, a digital signature will be created using the user's private key. Using the design, you can not only reduce the costs associated with data storage, thanks to the effective data compression process, but also effectively demonstrate the importance of protecting personal information during the data access process. The result of the experiment is that the proposed method has better performance than the existing method in all aspects. Optimized storage and privacy management standards can be used to ensure secure storage and sharing of data in a shared cloud environment.

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Privacy control model, Cloud storage optimization, Security strategy, Digital signature

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This is a Web based Blog application to help people write their idea and share it to the world. It provides resources to read and write idea through the world. The aim of this project to create and design a blogging platform using new technology called MERN Stack technology such as: MongoDB, Express JS framework, ReactJS library, and NodeJS platform. The basic blog application consists of several tools and methodology to provide different services like post like, comment and Share. Sign In/Login methods are used to differentiate one user from other, creating dashboard for the list of posted blogs using MERN Stack.

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MERN Stack, Blog Application

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 Abstract

Tourism app is an android based project which helps the travelers to predict or estimate the approximate cost of travelling as well as searching to the tourist place. Our tourism app revolutionizes the way travelers plan their road map by introducing a powerful and user-friendly tool for estimating travel costs. By simply inputting their vehicle details, users can access precise and personalized calculations for the estimated cost of traveling via roads. This app combines convenience and accuracy to enhance the overall travel experience, empowering users to make informed decision about their journeys and budgets. Whether it's a weekend getaway or an extended adventure, our app ensures that travelers can hit the road with confidence, knowing they have a reliable cost estimation tool at their fingertips.

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 Keywords

Popular Attraction, Nearby Facilities, Local Custom, Travel tips, Reliable, and Cost Estimate.

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 Abstract

This research paper introduces "Cropify," an innovative agricultural technology that combines artificial intelligence (AI) and advanced image analysis for accurate crop yield prediction. The system analyzes crop health, identifies diseases, and offers personalized recommendations to optimize agricultural yield. This paper presents the development, methodology, and real-world application of Cropify, showcasing its potential to revolutionize traditional farming practices.

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Randonforest, Front end, SVM, Precision agriculture, Crop yield prediction, Artificial Intelligence (AI), Machine learning algorithms, Image analysis, Disease identification, Personalized recommendations, Soil information, Climate information, Data preprocessing, Feature engineering, Model training, Environmental conservation, Pesticide reduction, Sustainable agriculture

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 Abstract

Glaucoma stands as a leading cause of irreversible blindness among individuals aged 40 and above. In Colombia, the prevalence of this disease is notably high, exacerbated by a shortage of ophthalmologists relative to the population's needs. Fundus imaging emerges as the primary screening method for glaucoma due to its favorable balance of portability, size, and affordability. This paper introduces a computational tool designed for automated glaucoma detection. We showcase enhancements in disc segmentation compared to existing literature, introduce a novel cup segmentation method employing thresholding, and propose a fresh metric assessing the ratio between cup and disc sizes. Our results stem from analyzing a collection of fundus images in partnership with the Center of Prevention and Attention of Glaucoma in Bucaramanga, Colombia, achieving an 88.5% success rate in glaucoma detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

glaucoma detection, disc segmentation, veins segmentation, image processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays, it is difficult to search for artists to showcase their art globally, so this ArtSync: Web Application for Artists and Art-enthusiasts is developed to provide a simple and efficient way for artists to upload their art. So ArtSync is a full stack website, which revolutionizes the way of showcasing the art globally. According to our research, artists frequently avoid exhibiting their work in well-known virtual art galleries for two reasons: first, finding suitable art curators can be expensive; second, appropriate art curators are difficult to find. Our study intends to build support for giving artists' works value by creating an artist-friendly website where artists can sell their creations without the help of art curators. The website provides a user friendly and flexible environment on smartphones or on desktops. An artist being registered in the web site has the facility to use the services. Artists can upload their art, price and sell. Clients will be able to transact through the connected payment gateway, browse through a variety of art genres, and safely make purchases. Personalized dashboards for consumers will improve their entire experience by giving a centralized spot to track purchases, view transaction history, and manage interactions with artists. The goal of this project is to bridge the gap between artists and art fans by providing a seamless and secure digital platform. The data of the consumer will be saved for the next transaction also. These features help to build a user-friendly Online Art gallery.

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Art, Artist, E commerce, Gallery, Online Shopping

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper represents our project that works on the principle of soldering pad using image processing techniques

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Creative Commons Attribution 4.0 and The Open Definition

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Soldering Pad ,Image Processing, CNN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As the interest in Machine Learning and AI continues to grow, we can expect to see new technologies hitting the market, influencing our daily lives. One such technology gaining traction is Virtual Assistant Bots, also known as Chatbots. These Chatbots have evolved from simple menu or button-based interfaces to keyword-based, and now to more advanced contextual-based systems. Among these advancements, the contextual-based Chatbots stand out as the most sophisticated, using techniques from Machine Learning and Artificial Intelligence to learn and respond more effectively to user queries in specific domains. The idea behind our project is to develop a medical chatbot capable of diagnosing diseases and providing basic information about them before users seek professional medical advice. This could potentially help in cutting down healthcare costs and making medical knowledge more accessible through the use of such chatbots. Chatbots are essentially computer programs designed to converse with users using natural language. In our project, we are focusing on providing people with quick and accurate predictions of diseases based on their symptoms. To achieve this, we are utilizing the Decision Tree algorithm for disease prediction. The integration of Chatbots in healthcare has the potential to greatly impact the industry by offering predictive diagnoses and improving accessibility to medical information.

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Disease Prediction, Machine Learning Algorithm, Decision Tree Algorithm, Chatbot.

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This research paper is all about The Role of Self Perception On Psychology well being of Minority groups (Adults). Self-perception is the process of observing and interpreting one's own behaviors, thoughts, and feelings, and using those observations and interpretations to define oneself.. Self-perception is especially important if we choose to use it as a way to understand mental health challenges. Through this paper we aim to find how self perception relates with the psychological well being of minority groups. The method used here to check the relationship between self Perception and psychological well being is Correlation method because this method helps in measuring two variables and assessing the relationship between them, with no manipulation of an independent variable. At the end, the results suggest the relationship between Self perception and psychological well being that minority groups (adults) undergo. I hope you have enjoyed this opportunity to reflect on how you perceive yourself. There is nothing that we necessarily need to change in our self-perceptions. Just becoming more aware of our patterns - so that we might be able to question them at key moments - can unlock self-growth. Please be gentle with yourself if you notice that you have patterns of unrealistic or unduly negative self-perceptions - these are things all humans do, and simply noticing them may help you naturally change your self-perception over time.

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Self perception and psychological well being

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 Abstract

The Mizoram Rural Livelihoods Mission was launched in 2013. It functions under the supervision of the central government. It plays an important role in the upliftment of the rural poor through mobilization, employment generation, and capacity building. The main objective of the present study is to find out the workings of MzSRLM in achieving its goals in East Lungdar RD Block, India. The study found that 1515 members were enrolled in self help group, 84 engaged in new jobs after joining self help group, and 119 attended capacity building trainings.

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NRLM, MzSRLM, Workings of MzSRLM

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Creative Commons Attribution 4.0 and The Open Definition