Volume 13 | Issue 4 |

 Abstract

This project focuses on the design and development of a grains screening machine intended to efficiently separate grains based on size, quality, and cleanliness. The machine utilizes a series of vibratory sieves and mechanical filters to automate the sorting process, thereby reducing manual labor and improving productivity. The goal is to enhance post- harvest handling by ensuring only clean and uniform grains are selected for packaging and sale. This system is particularly beneficial for small to medium-scale farmers and grain processing units, aiming to increase efficiency, reduce waste, and maintain high-quality standards in grain output. screening plays a crucial role iimproving product quality, storage longevity, and market value, making it an integral part of modern post-harvest grain handling systems.

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 Keywords

1 Grain Separator 2 Grain cleaning 3 Grain quality control 4 dust control

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

GreenBot is a Bluetooth-controlled agricultural robot made to help farmers with small farming tasks and reduce manual work. This project has two main parts: one is the robotic vehicle, and the other is a solar charging station. The robot works using an ATmega328P microcontroller and performs operations like soil ploughing, moisture level checking, and obstacle detection. When the soil becomes too dry, the system alerts using a buzzer. It also has an ultrasonic sensor to avoid obstacles during movement. The robot is controlled through Bluetooth using an Android mobile phone, which makes it simple to operate from a distance. The second part of the project is the solar charging station, which charges the robot using solar energy. A small solar panel is used along with a battery to store and supply power. This makes the system useful in rural or remote areas where electricity is not always available. GreenBot is a low-cost, eco-friendly solution that supports smart farming and helps save time and energy in the field.

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 Keywords

Smart Farming, Bluetooth Robot, ATmega328P, Soil Monitoring, Solar Charging

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In forensic investigations, the relationship between the criminal, the victim, and the crime scene can be firmly established through the detection of latent finger marks. Latent fingerprints are one of the most frequently found evidence in crime scenes and are widely recognized as a tool for human personal identification. The purpose of this research is to investigate the feasibility and effectiveness of using unconventional powder in forensic investigations, as well as to emphasize their contributions to sustainable and ecologically conscientious crime scene analyses. In this research paper, a new method for the development of Latent fingerprints is used that's Animal hair powder. The fine particles of animal hair Powder get combined with the fatty acid & oil present in the sweat of a fingerprint and the print is visible to our naked eyes. Animal hair, which is considered as animal waste, it is a much cheaper and readily available option. This paper presents a non-destructive powder dusting method which is simple, non-toxic, most convenient, easily preparable, not time - consuming and the powder is available in black color . Moreover, it was also good for environmental waste management. This research not only presents a novel approach to fingerprint development but also highlights the potential for the application of unconventional powders in forensic investigations. This study also opens up the scope of further study in this way.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Latent Fingerprint, Unconventional Powder, Animal Hair, Non-Destructive.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

UV-visible spectroscopy is a widely employed analytical technique in pharmaceutical analysis, ensuring the quality and regulatory compliance of dosage forms. This comprehensive review focuses on the principles, advancements, and applications of UV-visible spectroscopy in method development for quantitative analysis of active pharmaceutical ingredients. The review also explores the versatility of UV-visible spectroscopy in analyzing various dosage forms, including tablets, capsules, and solutions. The review emphasizes the importance of analytical method validation in accordance with ICH guidelines and regulatory requirements. Various methods such as the calibration curve method, absorptivity value method, and multicomponent analysis are reviewed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

UV-visible spectroscopy, Analytical method development, Method Validation, Pharmaceutical Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT: Reproductive tract infections, adding burden to the morbidities in women especially in developing countries. Women, who are in reproductive age group, are at higher risk of contracting RTIs easily. Bacterial vaginosis, candidiasis and trichomoniasis are the commonly reported RTIs in India. Hence this study was planned to find the prevalence of self reported symptoms of RTIs and the prevalence of RTIs of public health importance in women of reproductive age group 18-45 years in a rural area.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords : Reproductive Tract Infection ,Married Women, Village.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents the fabrication of an electric-powered go-kart designed to achieve an optimal balance between lightweight construction, durability, safety, and high performance. Engineered specifically for racing on flat circuits, the go-kart features a streamlined design that includes four wheels, a seat, a steering mechanism, and a braking system, intentionally excluding suspension and differential components to minimize weight and mechanical complexity. Powered by a lead-acid battery, the vehicle offers an eco-friendly alternative to conventional fuel-driven models. The design focuses on four primary attributes: durability, safety, minimal weight, and enhanced performance. The chassis is constructed using mild steel pipes, chosen for their strength-to-weight ratio, ensuring a rigid and secure frame. Special attention has been given to material selection and structural design to ensure mechanical integrity and stability under race conditions. The result is a dependable, efficient, and race-ready electric go-kart, well-suited for high-speed performance on smooth tracks.

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 Keywords

Electric Go-Kart, Fabrication, Lightweight Chassis, Lead-Acid Battery, Differential Drive Elimination

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Kasturba Gandhi Balika Vidyalaya (KGBV) aims at providing free education and support to girls in grades 6 through 12 in the form of residential institutions. KGBV mission is to reduce gender disparities in education and promote holistic development. Kasturba Gandhi Balika Vidyalaya (KGBV) program empower girls who are from underprivileged backgrounds, especially those from Scheduled Castes (SC), Scheduled Tribes (ST), Other Backward Classes (OBC), and minority groups. Although the program is succeeding in its mission of enhancing academic motivation and fostering both academic and non-academic skills, but there are still some challenges like high dropout rates, inadequate infrastructure and societal barriers that become obstacles in girls' education.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KGBV, Gender Disparities, Academic Motivation, Girls' Education, Empowerment, Infrastructure.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Phishing attacks pose a significant cybersecurity threat, necessitating innovative solutions for detection and prevention. Traditional server-side defenses have limitations, prompting the need for client-side protection. This project introduces PhishCatcher, a machine learning-powered tool designed to detect and mitigate evolving web spoofing threats. By transforming raw URLs into numerical lexical data, PhishCatcher enables precise identification of malicious URLs using advanced classification techniques. It operates within controlled environments to analyze attack patterns, entry points, and tactics employed by cybercriminals. Strengthening the CIA triad, PhishCatcher enhances authentication standards and fortifies cybersecurity defenses. Unlike conventional approaches, it offers real-time protection without requiring modifications to targeted websites. Users benefit from enhanced online safety, reducing the risk of identity theft and fraud. By integrating machine learning-driven classification with behavioral analysis, PhishCatcher provides a comprehensive strategy to counter phishing attacks, safeguard user privacy, and protect organizations against emerging cyber threats.

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 Keywords

CyberSecurity, Machine Learning Algorithm, Confidentiality, Integrity, Availability.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project proposes an AI-based Petition Analysis and Grievance Management System that automates public complaint handling. The system, employing NLP and ML, categorizes petitions, identifies urgency, and directs them to the right departments. Dashboards for real-time tracking promote transparency and accountability, while sentiment analysis prioritizes crucial issues. Manual effort is minimized, response time is enhanced, and data-driven governance is enabled through actionable insights into public concerns.

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 Keywords

AI, Machine Learning, Natural Language Processing, Grievance Redressal,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This dissertation examines the changing nexus of Artificial Intelligence (AI) and corporate legal practice in India, providing a detailed analysis of how AI technologies are reconfiguring the functioning, delivery, and regulation of legal services in the corporate space. As India undergoes a rapid digitalization across industries, the legal sector--historically considered conservative and process-oriented--is increasingly adopting AI-led innovations to boost efficiency, precision, and decision-making. The research commences by situating the worldwide rise of AI technologies and chronicles their development in legal frameworks, with specific reference to the Indian business legal context. It discusses the implementation of AI-based tools across the most significant legal procedures like contract analysis, legal research, due diligence, litigation planning, fraud detection, and regulatory compliance. By citing particular platforms such as CaseMine, Prarambh (formed by Cyril Amarchand Mangaldas), Anuvaad, and global systems such as IBM Watson and COIN by JPMorgan Chase, the research brings forth the real-world application of AI within corporate law practice. Using doctrinal and comparative legal research approaches, the dissertation examines the role of AI in improving speed, lowering costs, and enhancing risk mitigation in corporate legal processes. It also considers the law and ethics aspects of AI embedding--data protection issues, prejudice through algorithms, professional negligence, and erosion of human judicial wisdom. The legislative framework is viewed critically in light of a comparison of legal instruments and governmental interventions across the United Kingdom, United States, European Union, China, and Australia, and offers India's path to regulation valuable lessons. An important value added to this work is the in-depth analysis of Indian legal laws--that include the Companies Act, 2013; SEBI legislation; the Information Technology Act, 2000; and incoming data protection acts--and how these intersect with applications of AI for legal purposes. The research ends on a note proposing a strategic map for the Indian legal profession and suggesting regulation amendments, moral benchmarks, and professionalism guidelines in place to see the use of AI in the corporate legal fraternity used responsibly, fairly, and openly. In conclusion, this dissertation presents a timely and forward-looking analysis of the ways in which AI can enhance, supplement, and possibly change legal practice within India's corporate world, such that technological development is in tune with constitutional principles, client interest, and the fundamental values of justice.

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 Keywords

Artificial Intelligence (AI), Corporate Legal Sector, Legal Technology, AI in Indian Law, Legal Research Automation, Contract Analysis, Due Diligence, Compliance Monitoring, Litigation Management, Companies Act 2013, SEBI Regulations, Legal Ethics, Algorithmic Bias, AI Governance,

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Creative Commons Attribution 4.0 and The Open Definition