Volume 13 | Issue 6 |

 Abstract

This solution is forward thinking for Fault Diagnosis of Solar Street Light using Wireless Network, which will make sure that the Solar powered street lights are reliable and efficient. This system integrates the wireless communication technology RF and GSM to monitor the health of lone components like solar panels, battery and circuits in an individual street light all the time and can detect whenever the fault enters in these components. Data obtained is transmitted over a network of street lights having a centralized node that is able to send the real time status of all street lights in the area to the maintenance office. This method enables easy determination and correction of difficulties and thereby it cuts off the downtime and the related maintenance expenses. The system promotes the sustainability of urban infrastructure in energy conservation and public safety by the means of uninterrupted street lighting with the use of wireless technology. In doing so, this project fulfills the requirements for efficient fault detection, provides support for the use of renewable energy as well as the development of smart city initiatives, through use of intelligent monitoring systems.)

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar Energy, Smart Street Lighting, Fault Detection and Diagnosis, Wireless Sensor Networks (WSN), IoT, Infrastructure

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Web-Based AI Voice Assistant is an intelligent, browser-accessible virtual assistant designed to enhance productivity, accessibility, and natural human-computer interaction through voice commands. Built using a hybrid architecture combining Python for AI processing and Node.js for backend command execution, the system integrates multiple advanced modules that support offline speech recognition, multi-turn command understanding, and real-time task automation. The assistant allows users to control desktop applications, search the web, play music, manage tasks, and interact with dynamic content--all through voice or text input. Using speech_recognition, pyttsx3, and pyautogui, it captures and processes offline speech, generates real-time captions, and simulates user actions. The frontend is developed using HTML, CSS, and JavaScript, enhanced via Eel to provide a seamless chatstyle interface that supports both voice dictation and command input. Users can toggle between command and dictation modes, initiate music playback from local or online sources, search YouTube, access maps, and use sticky notes, all while maintaining full control through intuitive voice interactions. The assistant also supports persistent state management, allowing tasks and chat logs to be saved or exported. Experimental validation shows the assistant delivers lowlatency interaction, effective context retention, and versatile support for various productivity tasks, making it a scalable and user-friendly AI solution for daily desktop and web-based use.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI Voice Assistant, Web-Based Assistant, Offline Speech Recognition, Voice Dictation, Desktop Automation, Eel, Multimodal Interaction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

peer support, burnout, social intelligence, working professionals, positive environment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The introduction of artificial intelligence (AI) has had a big impact on environmental, social, and governance (ESG) disclosures in sustainability reporting. AI increases the ability of companies to gather a lot of data, notice ESG trends, analyse any risks, and publish more accurate details about their impact. This allows those involved in managing the financial sector to use more open, reliable, and easy-to-use ESG information. Therefore, making decisions is easier, following progress gets clearer, and dedication to sustainability increases. Even so, using AI in ESG reporting leads to some important matters to consider. Greenwashing is one of the main challenges because companies might misrepresent their positive actions in the name of sustainability thanks to tools powered by AI. In many cases, ESG disclosures that are not truthful, which are commonly related to a desire for a good reputation or more money, may lead stakeholders to doubt the truthfulness of the company's environmental, social, and governance activities and bring disrepute to the company. Unregulated use of AI can make the ESG data less reliable and more open to being used incorrectly. Currently, it is still difficult for companies to use GRI, SASB, and TCFD frameworks to handle AI matters in their ESG reports. There is also a gap in how the current laws and regulations deal with the special issues of AI in sustainability reporting. It looks into the threats that might stem from AI ESG reporting, mainly related to AI washing and greenwashing. It underlines that effective rules are needed and asks the government and businesses to use AI in ESG reporting in a clean, honest, and responsible way.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, ESG Disclosures, Greenwashing, AI Washing, Regulation, Sustainability Reporting.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Industry 4.0, the fourth industrial revolution, is the cyber-physical transformation of manufacturing. Digitization and intellectualization of the manufacturing process are the needs of today's industry. Today's manufacturing industry is changing from mass production to specialized production. Rapid advances in manufacturing technology that help to increase productivity become possible with the knowledge of different mechanisms and their industrial applications in a complex form with computer and sensor control. During the study of different mechanisms Geneva mechanism is found to have a wide application in automation and towards industry 4.0 in industries like packaging & shifting, production and assembly lines, liquid filling equipment, coal handling, steel plants, bottling plants, etc. The paper presents theoretical and practical aspects based on the Geneva mechanism model. This type of mechanism is an example of an intermediate device that converts continuous rotation into intermittent rotary motion. It consists of alternating periods of movement and rest. The most commonly used are the gear mechanism, cam-wheel mechanism, and intermediate gear mechanism. Compared with the four mechanisms, the noise of the inflated mechanism is large and the accuracy is low. The cam-wheel is very accurate and can be controlled with various motion curves, but the processing requirements are quite high. The impact of the intermediate gear mechanism is large and requires a light load. The purpose of this project is to build a model of an automatic paper-cutting machine. A Geneva drive is an indexing mechanism that changes continuous motion into intermittent motion, moving between equal intervals when cutting paper. This tool is used to reduce manual paper cutting and save time. This machine is useful for the paper cutting industry and we can avoid human labor and error.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords- Geneva Mechanism, Industry 4.0, intermittent motion, Production, Manufacturing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The transition to electric vehicles (EVs) is crucial for tackling environmental and sustainability challenges in urban areas like Delhi. With rising pollution and growing dependence on fossil fuels, cleaner transportation alternatives are increasingly important. Although government initiatives and incentives support EV adoption, uptake in Delhi remains modest. This study explores the key factors influencing consumer preferences and purchase intentions toward EVs in the region.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Delhi o Environmental o Adoption o Awareness o Infrastructure o Intentions o Purchase o Concern o Analysis o Consumer

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Child labour continues to be an important developmental concern in India despite efforts made by the central and state governments during the post-independence period. In the global scenario India is being portrayed as a country in which the level of human capital development is very low. Due to various reasons in India children work at agriculture and industries instead of learning in schools. This creates a low level of human development in India. At large this affects on the economy of India. There is a significant relationship between the high numbers of child labourers and low numbers of school dropouts of children. Hence, the present study is placed in this context to analyse the relationship between rampant child labourers and high level of school dropouts in the district of Raichur in Karnataka state. A significant numbers of studies have been reviewed in this study to enhance the understanding of the problem of child labour. In order to fulfil the objectives of the study together qualitative and quantitative methods have been employed. Both questionnaires and interview methods are used to acquire the required primary data from the children, their parents and employers in the district of Raichur. As the present study clearly indicates that the majority of the children in Raichur district were working in agricultural sector. Among the remaining child labourers majority of the boys were involved in livestock rearing. As the analysis of the data indicated that parents of these children were lacking awareness due to that they do not send their children to schools, results in child labour. The working conditions of the child labourers in Raichur district were very poor and unhealthy.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Child Labour, School Dropouts, Agricultural Labour, Economic Problems.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The field of handwritten gesture recognition is experiencing rapid growth within artificial intelligence (AI) and machine learning (ML), offering substantial opportunities in education, human-computer interaction, and digital note-taking. This paper presents an overview of the methodologies and strategies utilized in AI-ML models for recognizing and interpreting handwritten gestures, with a particular focus on mathematical symbols, numbers, and related gestures. Moreover, the impact of deep learning techniques on the accuracy and classification of gesture recognition is examined. Additionally, this study contributes to the development of more precise and optimized handwritten gesture recognition systems, ultimately enhancing applications in both academic and professional environments.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Handwritten gesture recognition, Mathematical symbol interpretation, AI-ML techniques, Deep learning, Real-time handwriting recognition.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Unauthorized vehicle parking in designed no-parking zones poses significant challenges for city enforcement authorities. This paper proposes a smart parking enforcement system - Parkwise - which utilizes IR sensors, ESP32 and LoRaWiFi modules to detect unauthorized vehicles and instantly transmit vehicle information to a central monitoring center. The system enhances real-time surveillance, facilitates rapid enforcement and significantly improves traffic regulations in urban environments. As we progress with this project, we want to establish an intelligent parking system that can quickly handle disorganized parking.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart parking, Unauthorized parking detection, IR sensor, ESP32, Lora module, Real-time monitoring, Smart city.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The integration of artificial intelligence into creative fields has revolutionized the art world, allowing individuals with limited artistic skills to generate sophisticated visual content from simple inputs. This paper presents a comprehensive survey and implementation of AI-enhanced art generation, with a focus on OpenAI's DALL-E 3 model. DALL-E 3 represents a breakthrough in AI-driven art, combining language processing with advanced image synthesis to generate high-quality visuals from text prompts and rudimentary sketches. Leveraging the MERN stack (MongoDB, Express, React, Node.js), this project explores practical implementations that empower users to generate and customize artwork through a web-based interface, broadening accessibility for non-artists and expanding creative possibilities. Key AI-driven art models are reviewed, highlighting their development, applications, and limitations. The paper details the system architecture, frontend-backend integration, and real-time image generation workflows implemented to support user interactions with DALL-E 3. This paper aims to provide insights into the current landscape of AI in art, the technological challenges, and the promising future directions for AI-enhanced creative tools.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-enhanced art, DALL-E 3, Generative AI, Text-to-image generation, MERN stack, Creative accessibility, Workflow, AI in art.

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Creative Commons Attribution 4.0 and The Open Definition