Volume 12 | Issue 5 |

 Abstract

In recent years, blockchain technology has gained considerable recognition due to its capacity to revolutionize numerous sectors, agriculture included. This research paper delves into the integration of blockchain in agricultural supply chains, referred to as Agrichain, to address challenges related to transparency, traceability, and operational efficiency. Agrichain leverages blockchain's decentralized and immutable nature to enhance transparency and trust among stakeholders in agricultural supply chains. Through smart contracts, Agrichain automates transactions, reduces costs, and ensures the execution of predefined rules, enhancing efficiency and reliability. Blockchain-based traceability in Agrichain enables real- time tracking of product provenance, quality, and sustainability, empowering consumers with accurate and verifiable information. Decentralized data management promotes secure data exchange, enhances visibility across the supply chain, and empowers informed decision- making based on data analysis. The inherent security features of blockchain technology, such as cryptographic hashing and consensus mechanisms, ensure data integrity, minimize fraud risks, and strengthen cybersecurity across the supply chain.

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AgriChain Innovations: Empowering Agricultural Management with Blockchain Technology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In contemporary educational settings, examinations can be broadly classified into two categories: objective and subjective. While competitive exams commonly adopt the multiple-choice question format, which can be conveniently administered and evaluated online, subjective exams like board exams present a different challenge. Due to their nature, they cannot be effectively conducted through computerized means. Consequently, there is a growing need to integrate Artificial Intelligence (AI) into online examination systems to address this issue [1]. By leveraging AI, the evaluation of subjective answers could be significantly streamlined, leading to faster and more accurate results. Our proposed system aims to replicate the assessment process carried out by human evaluators, ensuring reliability and consistency. This innovative approach holds immense promise for educational institutions seeking to enhance the efficiency of their assessment procedures.

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 Keywords

Automated answer verifier, answer verifier, theory answer checker, matching answers

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Web- grounded training and placement cell operation is a major step towards automating largely homemade and tedious tasks in the training and placement department. This provides a platform with all the necessary pupil information to match the requirements of an accurate pupil profile and enterprise. The TnP is developed to maintain the details of pupil information, trace the details of pupil also maintain the information about the company vacuity. The goal of creating the Placement Management System was to capture companies and scholars by limiting similar large databases to specific classes of scholars or companies. The system provides the capability to view particular and academic information for both scholars and companies, search for eligible scholars and companies, and also allows directors to fit and cancel records. The main purpose of this design is to give friendly access to its druggies, similar as scholars, apprentice and externship officers, or university staff. scholars simply enter the needed data into the system and TPO can fluently recoup the matching pupil data they need. As this is a completely automated system, it saves a lot of mortal trouble and saves both the pupil and TPO a lot of time in submitting and searching for the needed data. This system can also be used as a central depository to manage enjoy all data of pupil's academic details.

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 Keywords

TPO (Training Placement Officer), TnP (Training and Placement Cell).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Web- grounded preparing and situation cell operation could be a major step towards automating to a great extent hand crafted and monotonous assignments within the preparing and arrangement division. This gives a stage with all the vital understudy data to coordinate the prerequisites of an precise understudy profile and undertaking. The TnP is created to preserve the subtle elements of understudy data, follow the subtle elements of understudy too keep up the data almost the company vacuity. The objective of making the Situation Administration Framework was to capture companies and researchers by restricting comparative huge databases to particular classes of researchers or companies. The system provides the capability to see particular and scholarly data for both researchers and companies, seek for qualified researchers and companies, conjointly permits executives to fit and cancel records. The most reason of this plan is to allow inviting get to to its druggies, similar as researchers, disciple and externship officers, or college staff. researchers essentially enter the required information into the framework and TPO can easily recover the coordinating student information they require. As typically a totally mechanized framework, it spares a part of mortal inconvenience and saves both the understudy and TPO a part of time in submitting and searching for the required information. This framework can moreover be utilized as a central store to oversee appreciate all information of pupil's scholastic points of interest.

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 Keywords

TPO (Training Placement Officer), TnP (Training and Placement Cell).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Presently, the focus on security intensifies owing to the widespread utilization of the internet. Correspondingly, the surge in internet usage has led to an increase in the daily exchange of data. This upsurge in data exchange poses a potential risk of deceit by hackers. An effective strategy to tackle this issue is Steganography. Steganography involves the covert embedding of confidential information within harmless cover files, rendering the detection of the hidden data challenging. This study delves into video Steganography, a technique wherein data is concealed within video frames. It proposes a dual-layered security strategy, employing both Steganography and cryptography. Initially, the data undergoes encryption using cryptographic algorithms, fol- lowing which the encrypted data is integrated into video frames. The embedding method employed is LSB coding, known for its simplicity and efficacy in concealing large amounts of data.

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 Keywords

Steganography, Multimedia Security, Video Steganography, LSB Coding, Adaptive Embedding, Content Au- thentication, Copyright Protection, Covert Communication

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's digital age, where the internet is widely used, ensuring security has become a top priority. As internet usage continues to soar, the amount of data exchanged daily has also surged, presenting a growing risk of exploitation by malicious actors. One effective strategy to address this growing concern is the adoption of Steganography, a technique used to hide secret information within seemingly innocent files. Specifically, this paper delves into the realm of video Steganography, a method wherein data is concealed within the frames of videos, offering an additional layer of security. By combining Steganography with cryptography, this approach provides a dual-layered de- fense mechanism against potential threats. Through encryption using cryptographic algorithms followed by the embedding of encrypted data into video frames using LSB coding, this method ensures both simplicity and efficiency in safeguarding large volumes of sensitive information.

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Steganography, Multimedia Security, Video Steganography, LSB Coding, Adaptive Embedding, Content Au- thentication, Copyright Protection, Covert Communication

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Many more people are seeking for bank loans as a result of the growth in the banking industry. These loans cannot all be approved. Gains from loans are what bank assets primarily make revenue from. The goal of banks is to allocate their resources towards secure clientele. Even though loans are approved by many banks these days following extensive verification and validation procedures, there is never a guarantee that the chosen consumer will be secure. As a result, it's critical that the banking industry use a variety of strategies to identify clients who make their loan payments on schedule. The random forest technique is used in this report to classify the data. Using a training dataset, the Random Forests method creates a model. This model is then applied to test data, yielding the desired result. Many more people are seeking for bank loans as a result of the growth in the banking industry. These loans cannot all be approved. Gains from loans are what bank assets primarily make revenue from. The goal of banks is to allocate their resources towards secure clientele.

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outlier, Prediction, loan, component, Overfitting, Safe, Bank loans, Transform, machine learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In our monetary system, banks have various things to sell yet head sort of income of any banks is on its credit line. A bank's advantage or a setback relies by and large upon credits for instance whether the clients are dealing with the development or defaulting. By anticipating the development defaulters, the bank can lessen its Non Performing Assets. This makes the examination of this characteristic essential. Past examination in this time has shown that there are such endless strategies to focus on the issue of controlling Development default. Be that as it may, as the right expectations are vital for the boost of benefits, it is crucial for concentrate on the idea of the various strategies and their correlation.[1] A vital approach in prescient examination is utilized to concentrate on the issue of anticipating credit defaulters: The Calculated relapse model. Strategic Relapse models have been performed and the various proportions of exhibitions are registered.

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Creative Commons Attribution 4.0 and The Open Definition

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outlier, Prediction, loan, component, Overfitting, Safe, Bank loans, Transform

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This document suggests a manual method of moving the cursor position without requiring for an electronic device. On the other hand, various hand motions will be used to do tasks like clicking and dragging objects. A webcam is all that will be needed as an input device for the proposed system. The PC's camera will perceive different hand motions and utilize that data to move the mouse, or cursor, in light of the developments. It will even utilize distinct gestures to click the left and right buttons. The These models hold the key to significantly increasing the usability of such computer vision solutions by simulating the swaying motion of human hand motions. Numerous technologies are continually changing in the technological landscape of today. The idea is to imitate mouse functionalities on a screen without the requirement for any equipment by utilizing hand and finger signals, an interaction known as motion acknowledgment. This essay aims to reduce human-computer connection and dependence on technology in light of the COVID-19 pandemic. These results will eventually motivate further research and boost the use of virtual environments. These limitations are absent from the proposed period, which might instead rely on gesture recognition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gesture Control Virtual Mouse, Virtual Mouse, Hand Gestures, OpenCV

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Effective waste management is essential for sustainable urban development, necessitating innovative solutions to tackle waste accumulation and environmental pollution. Our project focuses on developing and implementing a "Smart Dustbin" system to optimize waste collection processes. The primary goal is to design and deploy a network of intelligent dustbins capable of autonomously monitoring waste levels and transmitting real-time data signals with location information. By utilizing ultrasonic sensors and microcontroller units, these smart dustbins continuously monitor fill levels, enhancing the efficiency of waste collection operations. Key features of the system include wireless communication modules for real-time updates to a central monitoring station and the integration of GPS technology for precise location tracking. This facilitates route optimization and resource allocation for waste collection fleets. A significant innovation in our project is the development of a user-friendly dashboard interface, allowing municipal authorities to visualize and analyze waste collection data in real time. Data analytics algorithms enable the identification of high-traffic areas, prediction of waste generation patterns, and optimization of collection routes. The smart dustbin system offers tangible benefits for municipalities and residents by reducing overflowing bins, littering, and environmental pollution. It also optimizes waste collection routes, reducing fuel consumption and mitigating carbon emissions

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 Keywords

SMART DUSTBIN MONITORING SYSTEM

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Creative Commons Attribution 4.0 and The Open Definition