Category Archives: Uncategorized

Abstract-One of the important and tedious tasks in agricultural practices is the detection of disease on crops. It requires time as well as skilled labor. This paper proposes a smart and efficient technique for the detection of crop disease which uses computer vision and machine learning techniques. Every year India loses a significant amount of annual crop yield due to unidentified plant diseases. The traditional method of disease detection is manual examination by either farmers or experts, which may be time-consuming and inaccurate. It is proving infeasible for many small and medium-sized farms around the world. To mitigate this issue, a computer-aided disease recognition model is proposed. It uses leaf image classification with the help of deep convolutional networks. In this paper, CNN was proposed to detect plant disease. It has three processing steps namely feature extraction, downsizing image, and classification. In CNN, the convolutional layer extracts the feature from the plant image. It helps to give personalized recommendations to farmers based on soil features, temperature, and humidity.

Abstract-Human-centered artificial intelligence (HCAI) emphasizes designing AI systems that prioritize human values, ethics, and usability, fostering trust and responsible adoption. This research explores the advancement of HCAI by addressing key challenges such as improving explainability, integrating ethical considerations, and optimizing real-world applications across diverse sectors. By investigating state-of- the-art methods for interpretable machine learning, the study aims to enhance user understanding and transparency in AI decision-making. It further examines frameworks for embedding ethical principles, including fairness, accountability, and privacy, into AI system design. Additionally, the research evaluates case studies from healthcare, education, and autonomous systems to illustrate the transformative potential of HCAI. This study underscores the need for interdisciplinary collaboration and innovation to ensure AI technologies align with human values and societal goals, paving the way for more inclusive and sustainable AI solutions.

Abstract-Drones are becoming indispensable tools in various critical sectors of India, such as agriculture, disaster management, land surveys, mining, and infrastructure mapping. Their ability to access remote, hazardous, or hard-to-reach areas makes them invaluable for tasks, such as crop monitoring, search and rescue, and real-time data collection. However, the effectiveness of drones in these mission-critical applications is often limited by their battery life and the need for frequent recharging, particularly in environments where human access is difficult or impossible. This project addresses this challenge by developing a wireless power transfer (WPT) system for drone charging. The system converted a standard 230V supply into a low-voltage DC output, which was then wirelessly transferred via a high-frequency (100kHz) inverter and coil setup. This WPT system is particularly suited for use in remote or inaccessible locations, where minimizing downtime is critical.

Abstract-This paper presents the development and implementation of an automation bot designed for efficient data extraction and processing tasks. The bot automates the process of accessing a website, downloading an input Excel file, and extracting account numbers from the file. It then compares the last four digits of each account number with the digits in the names of zip files available on the website. Upon finding a match, the bot downloads the corresponding zip file, extracts its contents, and processes the required data from the unzipped text file, subsequently loading this data into the specific account number’s field. This automation bot significantly enhances data handling efficiency, reduces manual errors, and streamlines the data management process.

Abstract-The “Daily Diary Writer with Sentiment Analysis” project is a full-stack web application focused on enhancing personal well-being through sentiment analysis. Users can write daily diaries journals, and the system uses natural language processing to analyze the emotions expressed in their entries. This helps users reflect on their emotional patterns over time. Voice input allows for hands-free journaling, making the process more convenient and accessible. The project promotes self-reflection and emotional well-being through detailed sentiment insights.

Abstract-Student engagement would be one of the core elements that improve educational outcomes in the classroom. A gamification framework with machine learning would increase participation and personalize the experience of learning. The framework, through mechanics such as points, badges, leader boards, and challenges, encourages the participants to engage in the learning experience and enjoy it. However, machine learning facilitates adaptive learning by adapting the content based on the individual’s performance metrics. Student sentiment analysis helps to identify which students are in need of support, and predictive analytics would be used for identifying the students that may require more support. Real-time analytics allows teachers to keep track of student progression as well as classroom trends in real time. The system was designed to improve engagement and increase efficiency in the learning process. It considers the fact that competition can get unhealthy at times as well.

Abstract-The primary vectors for the spread of diseases of concern like malaria, dengue, are mosquito species, particularly Aedes and Culex. There has been an exponential use and increased reliance by smaller groups, not specific to municipal and govt health bodies, but by housing societies and private pest control companies who rely on the acceptability of Thermal Fogging, as one of the key control or management factors of mosquito in urban setup. The professional pest control agencies are forced to adopt the use of Thermal Fogging even if there are ULV based options as there is fairly low awareness and poor visible changes at municipal level where adoption of ULV is not seen for more immediate adoption at social self help groups and with housing societies or with professional pest management companies. The urgent need to induct for a more less pollutant carrier, like BIODIESEL in thermal fogging and use of Plant Extract based Larvicides in water sources having significantly low toxicity will help build a more sustainable and low toxic mosquito management program, helping the human society at large to be truly living healthy through the means of Integrated Mosquito Management. In stark contrast where the use of polluting carriers like diesel leaves more lasting environmental damage affecting many more lives, than saving a few.

Abstract-Optimizing AI-driven decision support systems necessitates a careful balance between efficiency, accuracy, and ethical considerations. Efficiency involves ensuring that the system processes data swiftly and provides timely insights. Accuracy emphasizes the need for reliable and precise outputs to inform decision-making. Ethical considerations are paramount, addressing potential biases in data and algorithms to ensure fair and just outcomes. Transparency in the decision-making process fosters trust and accountability. By integrating these factors, AI-driven decision support systems can enhance decision-making processes while upholding ethical standards and maintaining user trust.

Abstract-Agricultural equipment booking can be a challenging task for rural farmers due to language barriers and the complexity of existing digital platforms. This study is based on the concept of equipment rental. The E-commerce website has been improved as part of this project to bridge the gap between the farmer and the vendor on a lease basis. Only the user has access to the main programme after going through the login procedure; only the user may pick and book resources. This paper is jam-packed with information about the products. Farmers will benefit from this paper. The main goal of this website is to manage a variety of agricultural machinery, including Harvester, JCB, Tractor, Pickup, Rotor, and other agricultural machinery. End users will find the proposed system simple to use. As a result, we created a single website. We are attempting to provide the farmer or user with a solution that allows them to rent the goods by the hour.

Abstract-The evolving dynamics of modern workplaces underscore the growing importance of flexible work arrangements in addressing the diverse needs of today’s workforce. This research delves into the necessity and impact of flexible workplaces, aiming to understand their prevalence, motivational drivers, and implications across various demographics, including students, professionals, and part-time employees. The study adopts a multi-faceted approach to examine patterns of flexibility, encompassing remote work, hybrid models, and flexible working hours, while evaluating their role in enhancing productivity and promoting a better work-life balance. A key focus is placed on identifying the motivational factors that lead individuals to prefer flexible arrangements, such as improved productivity, reduced commuting time, educational commitments, and family responsibilities. The study also assesses the challenges encountered, including time management difficulties, communication barriers, technical issues, and social isolation. By exploring these dimensions, it seeks to illuminate how flexible work environments can both empower individuals and pose unique obstacles that require organizational attention. In addition to individual experiences, the research evaluates organizational support systems and infrastructure, such as the provision of digital tools, internet allowances, structured guidelines, mental health initiatives, and workspace accommodations. These mechanisms are analyzed to understand their effectiveness in creating a conducive environment for flexible working. The study further examines how flexible work arrangements influence productivity across different contexts and demographic groups, offering valuable insights into their broader organizational and societal implications. The findings provide actionable recommendations for organizations aiming to implement or improve flexible work policies. These include fostering a culture of inclusivity, investing in digital infrastructure, offering targeted training programs, and creating clear guidelines to support employees effectively. Ultimately, the research highlights the transformative potential of flexible work arrangements in building resilient, adaptive, and employee-centric organizations capable of thriving in a rapidly changing work environment.