Volume 12 | Issue 5 |

 Abstract

Communication barriers significantly impact the daily lives of speech-impaired individuals, limiting their ability to interact effectively with others who do not understand sign language. This paper presents SignEase, an AI-driven Indian Sign Language (ISL) recognition system designed to enhance communication between speech-impaired individuals and the broader population. The system translates sign language gestures into text or speech, enabling real-time, seamless interaction. The primary objective is to provide an inclusive solution that facilitates independence and equality for speech-impaired individuals in various settings, including government offices, private companies, and public spaces. This document outlines the problem definition, project scope, and technical requirements for SignEase, emphasizing its potential to bridge communication gaps and improve the quality of life for speech-impaired individuals. Through comprehensive requirements analysis and design planning, this project aims to deliver a robust and user-friendly solution that addresses the communication needs of the speech-impaired community.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sign Language Recognition, Speech-Impaired Communication, AI-Driven Translation, Indian Sign Language (ISL), Inclusive Technology, Real-Time Gesture Recognition, Accessibility Solutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The agricultural sector has witnessed a paradigm shift in recent years, owing to the integration of cutting-edge technologies such as robotics, artificial intelligence, and IoT. This project report delineates the design, development, and implementation of an autonomous robot tailored for precision farming in modern agriculture. The proposed smart agriculture robot is equipped with a plethora of sensors, actuators, and computational modules to facilitate real-time data acquisition, analysis, and decision-making. Leveraging machine learning algorithms, the robot is capable of identifying crops, detecting pests and diseases, and monitoring environmental parameters including soil moisture, temperature, and humidity. The core functionalities of the robot include seed planting, irrigation, fertilization, and weed control, all executed with precision and efficiency. By employing localization and mapping techniques, the robot navigates through the farm autonomously, optimizing routes and avoiding obstacles. Furthermore, the integration of wireless communication enables seamless interaction between the robot and the central farm management system, facilitating remote monitoring and control. The collected data is transmitted to the cloud for further analysis, enabling farmers to make informed decisions and optimize resource utilization.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Microcontroller, motor driver, sensors, DC Motors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract-developing a computer program (smart contract) using Solidity, a programming language for Ethereum blockchain. This smart contract will automate and secure the crowdfunding process by enabling users to contribute funds to a project, and the funds will be released to the project only when certain conditions are met, ensuring transparency and trust in the fundraising process. The project leverages the advantages of blockchain, such as immutability and decentralization, to create a more efficient and reliable crowdfunding system. With vision of Government fund allocation through this platform

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crowdfunding, Blockchain, Smart Contracts, Campaign,Ethereum

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electronic garbage, known as "e-waste," poses a significant environmental and public health risk. The World Bank estimates that highly industrial waste emissions total around 1.5 billion tons per year. Effective classification strategies are crucial due to its complicated and often hazardous nature. This study explores effective e-waste classification methods that prioritize sustainability, cost-effectiveness, and innovation. The suggested methods range from NVIDIA Jetson Nano-based deep learning models for identifying precious metals to thermal imaging techniques for classifying recyclable materials. Other methods include Faster RCNN, YOLO, and CNN with different architectures. This project has used Two-Stream Deit model and produces audio output of the classified object. The project also investigates the potential of computer vision technologies for e-waste.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NVIDIA's Jetson Nano, thermal imaging, Faster RCNN, YOLO, CNN, DEMATEL, ISM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ravinder Singh, a renowned Indian author, is acclaimed for his emotionally rich and relatable love stories. His novels, including "I Too Had a Love Story" (2008), "Can Love Happen Twice?" (2011), and "Your Dreams Are Mine Now" (2014), tackle themes of loss, healing, and the potential for rediscovering love. Singh's exploration of second love and the acceptance of multiple loves is particularly impactful in a cultural context that often idealizes eternal, undivided love. This research article analyzes Singh's depiction of these themes, emphasizing the emotional resilience and healing of his characters, the validation of complex emotional experiences, and the broadening of love's definition. Through nuanced storytelling, Singh challenges traditional narratives and promotes a more inclusive understanding of love. His works empower readers to embrace new beginnings and recognize the multifaceted nature of love, contributing significantly to contemporary discussions on relationships and emotional recovery.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Second Love, Multiple Love, Ravinder Singh

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Along with the development of the world economy, renewable energy has become an indispensable part. Currently in Vietnam there are many companies producing renewable energy, especially solar energy, showing the dynamism of the solar panel manufacturing market. But there is a problem: if the panels expire after their useful life, if not recycled, they will cause waste and seriously affect the environment. Recycling technologies will help take advantage of important components in solar panels, even using them entirely. Precious metals such as Silver and Lead are separated and reused to help save resources and capital costs. There are 4 ways to recycle solar panels: Mechanical, Thermal, Chemical, High Temperature Density Seperation. Research applying the Analytical Hierarchy Process method to select the best option to recycle solar panels for companies in Vietnam, which is High Temperature Density Seperation.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar Energy, Solar panel recycling, Analytical Hierarchy Process (AHP)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

These abstract highlights the significance of machine learning in analyzing surface water dynamics amidst climate change. It emphasizes how traditional methods struggle with the complexity of data generated by climate-induced alterations, while machine learning offers promising avenues for extracting meaningful insights. By leveraging techniques such as neural networks and decision trees, machine learning can identify intricate relationships between climatic variables and surface water dynamics, aiding in hydrological modeling, flood forecasting, water quality assessment, and ecological impact evaluation. The abstract stresses the importance of interdisciplinary collaboration to harness machine learning's full potential and develop robust strategies for adaptation and mitigation, promoting the resilience of water-dependent ecosystems and human communities.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Model Selection and Training, Correlation Matrix, Interpretation and Visualization, Water Quality Monitoring, Decision Support Systems, Adaptation Strategies, Graphical User Interface

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Reinforcement learning is a powerful framework for training autonomous agents, including bots, to make intelligent decisions in complex and dynamic environments. This approach leverages the principles of trial and error, also can be termed as Curiosity-Driven Approach, where bots learn by interacting with their surroundings, receiving feedback, and adapting their behavior to maximize cumulative rewards. In this paper, we provide an overview of reinforcement learning, its core components, and the training process for bots. This Research Paper also addresses challenges and considerations in training bots through reinforcement learning,including the need for careful reward design, exploration strategies, and fine-tuning hyperparameters. We discuss real-world applications of reinforcement learning in domains like self-driving cars, robotics, and natural language processing.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, Reinforcement Learning, Curiosity-Driven Approach.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Approximately 70% of people in India make their living from agriculture. A variety of tasks, including planting seeds and plough work, are essential in the agricultural sector. The methods now in use for these jobs are difficult and need costly and heavy machinery. In order to improve India's agricultural system, a method that minimises time and manual labour must be developed. The goal of this project is to create a solar-powered soil-plow and seed-spreading robot. The system as a whole runs on solar power, offering a sustainable alternative. This solar-powered seed-spreading and soil-ploughing device is intended to help farmers in isolated locations without easy access to fuel. This concept, if put into practice on a commercial basis, may help approximately 70 percent of Indian farmers as well as meet the demands of little gardens that are starting to appear in urban areas. This demonstrates the machine's excellent efficiency and flexibility in handling different agriculture circumstances with in this research we have done FEM analysis actual experimentation on multipurpose agriculture machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar panel, Battery, Adapter, seed spreader, Soil Ploughing etc

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Skills provided to a young girl child improvise the vitality to the human resource of a nation and provides for a continuous stand at the forefront, in times of prosperity and adversity as well. Skills are not only an add-on trait, indeed it is an essential qualification to be pursued in the parallels of primary education. This study would enable to understand the importance of skills to be put on by the girl child and the factors considered are early stage of acquiring of skill, initiative of policy makers and the socio-environment of a girl child. The girl child age considered in this study is childhood, specifically early childhood and middle childhood.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Girl child, Early Learning, Skill Design, Learning Environment & Girl child's safety

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Creative Commons Attribution 4.0 and The Open Definition