Volume 13 | Issue 5 |

 Abstract

Herbal soap is a one of the most popular cleaning agent for body. Intended to provide an eco-friendly, natural skincare product. To address the present customer need, this study prepares and evaluates antimicrobial moisturizing soap that contains neem. A plant with many therapeutic uses, neem (Azadirachta indica) is well known for its antibacterial, antifungal, and anti-inflammatory qualities, which make it a useful component of skincare products. The soap is formulated using a combination of neem extract, essential oil and natural surfactant, ensuring a chemical free alternative to synthetic soaps. The product's physical appearance, foaming ability, skin compatibility, moisturizing properties, and antimicrobial properties were all tested. An abundant and sustainable method of cleaning was achieved by using herbal soap that is free of chemicals and plastics. Packaging designs were developed, and packaging was made from recycled paper. Furthermore, the formulation was shown to be stable across all parameters after a month of stability testing.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal soap, Antimicrobial, Moisturizer, Foaming test

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The primary purpose of this paper is to highlight the role of literature in fostering empathy in diverse communities. It examines how stories allow individuals to experience the lives of others, bridging cultural, social, and emotional divides. By promoting understanding and compassion, literature becomes a powerful medium for connecting people across different backgrounds. The paper also discusses various literary genres and their impact on empathy development, as well as the importance of inclusive representation in literature.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Literature, Empathy, Diversity, Representation, Community, Emotional Connection, Inclusivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A comparative study between crpc and bnss 2023

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Victim centric reforms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study explores the potential of Simmondsia chinensis, more often known as jojoba oil, as an all-natural alternative to conventional skin-washing biocompatible treatments. Strong synthetic surfactants in many conventional cleansers interrupt the delicate balance of the skin and lead to dryness and irritation. This paper investigates the feasibility of producing effective cleaning agents from naturally existing moisturizing and non-comedogenic components, such as jojoba oil. The antioxidant, anti-inflammatory, and antibacterial characteristics of neem and turmeric make them a powerful tool in the fight against acne, alleviating inflammation, and promoting natural healing. Their active compounds aid in hydrating skin, balancing its tone, and fortifying it from within. Two formulations were developed and assessed: soap and a hand wash. Prioritizing skin compatibility drove the formulations to exclude powerful synthetic surfactants and preservatives. Analyzed were the pH, lathering capability, and stability of the compositions. First, skin compatibility was assessed using volunteer assessments and side effect observation. According to the results, both jojoba oil-based formulations had excellent features. Though with very alkaline pH, the soap produced a constant lather and was well tolerated. The handwash, created in a skin-compatible acidic pH range, also exhibited excellent lathering properties and stability without aggravating skin. This paper highlights the potential of jojoba oil as a component for biocompatible skin cleansing solutions. The findings suggest that while jojoba oil may effectively cleanse the skin and lower the risk of irritation, it offers a milder replacement for conventional cleansers. More research will help to maximize formulations for different skin types and specialized uses and to negotiate long-term effects.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Jojoba oil, biocompatible, Skin cleansing, Natural alternative, Harsh synthetic surfactants, Irritation, Dryness, Effective cleansing agents, Moisturizing, Non-comedogenic, Soap, Handwash, pH, Lathering ability, Stability, Volunteer assessments, and Adverse reactions.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper presents the design and implementation of an automated Student Grading System aimed at enhancing the efficiency, accuracy, and transparency of academic performance evaluation. The proposed system leverages modern database technologies and a user-friendly interface to manage and compute student grades based on various assessment components such as assignments, quizzes, midterms, and final examinations. By automating grade calculations and result generation, the system reduces manual errors and administrative workload, while ensuring fair and consistent evaluation criteria. Additionally, it offers real-time access for students and educators to monitor academic progress. The study discusses system architecture, key functional modules, and performance metrics, demonstrating the effectiveness of the grading system through a case study and user feedback. The results suggest that such systems can significantly improve the overall academic management process in educational institutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords- Student performance; student analysis; data mining; student performance analysis; classification; prediction; system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Language Learning Assistant App is a comprehensive mobile application designed to address the evolving needs of modern learners by offering a unified platform for acquiring spoken and sign languages. It leverages advancements in artificial intelligence and cloud computing to deliver a personalized, inclusive, and engaging learning experience. The application integrates multimodal interaction techniques such as speech recognition, sign language detection, and a conversational AI chatbot to cater to diverse user preferences and abilities. Key features include adaptive learning paths based on user performance, interactive vocabulary games, real-time quizzes, and community-driven learning modules. The inclusion of sign language functionality ensures accessibility for users with hearing impairments, promoting digital inclusivity. The app's backend is powered by scalable cloud services that facilitate real-time content updates, progress tracking. This paper delves into the architectural design of the system, explaining its modular components and data flow through diagrams and technical specifications. It further presents performance evaluations based on user testing, highlighting the effectiveness of adaptive techniques in improving retention and engagement. The study concludes with a discussion on the app's societal impact and outlines potential enhancements such as multilingual support, augmented reality features, and integration with educational institutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mobile App, Gamification, Language Learning, Sign Language, Adaptive Quiz, Firebase, Gemini AI, AI Chatbot, Data Preparation, Feature Engineering, Mobile Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Smart Refrigerator is an innovative application of the Internet of Things (IoT) and image processing technologies, designed to automate and enhance food inventory management. This paper proposes a system capable of recognizing items stored in a refrigerator, monitoring their presence, and notifying users of expired or missing items. Using a Raspberry Pi and Python-based image recognition algorithms, this project demonstrates a practical, cost-effective approach to minimizing food waste while improving user convenience.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart Refrigerator, IoT, Raspberry Pi, Image Processing, Python, Food Monitoring System, Automation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research explores the potential for commercializing floral waste to create economic opportunities. When vibrant flowers wilt, they transform into a valuable resource stream that offers environmentally friendly solutions. Current waste disposal practices contribute to environmental degradation, highlighting the urgent need for sustainable alternatives. Through interviews, surveys, and field observations, the study examines the social, environmental, and economic impacts of floral waste commercialization. The findings identify various waste streams, including discarded flowers, leaves, and other plant materials, each of which can be repurposed into products such as organic fertilizers, natural dyes, and artisanal crafts. An analysis of economic viability underscores the financial feasibility of this transition, while the social and environmental implications emphasize job creation, biodiversity preservation, community empowerment, and waste reduction. The research also addresses challenges such as market acceptance and technological limitations, proposing innovative solutions to ensure a greener and more prosperous future. Ultimately, this study advocates for the reimagining of floral waste as economic assets, thereby fostering sustainability within the cultural and ecological framework of the country

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flower waste, commercialisation, livelihood, sustainability, waste reduction, Challenges

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In movie productions the Foley Artist is responsible for creating an overlay sound track that helps the movie come alive for the audience. This requires the artist to first identify the sounds that will enhance the experience for the listener thereby reinforcing the Director's intention for a given scene. The artist must decide what artificial sound captures the essence of both the sound and action depicted in the scene. In this project, we present a fully-automated deep-learning tool that can be used to synthesize a representative audio track for videos. This tool can be used in applications where there is either no corresponding audio file associated with the video, or in cases where there is a need to identify critical scenarios and provide a synthesized, reinforced sound track. An important performance criterion of the synthesized sound track is to be time synchronized with the input video, which provides for a realistic and believable portrayal of the synthesized sound. This project presents a novel deep learning approach to adding synchronized soundtracks to silent movies, aiming to enhance their immersive qualities and accessibility. Our method leverages advanced neural network architectures, including convolution neural networks (CNN's) and recurrent neural networks (RNN's), to analyze visual content and generate contextually appropriate sound effects and dialogues.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional Neural Network, Syncronization, LCRN

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The AI-powered spy robot is a sophisticated surveillance system designed for military applications, leveraging the ESP32-CAM module for real-time human detection using advanced Machine Learning algorithms. The robot's core is built around the Arduino Uno platform, which provides a flexible and reliable foundation for integrating multiple sensors and technologies. The robot's sensor suite includes an ultrasonic sensor, which enables obstacle avoidance and ensures smooth navigation through complex environments. A metal sensor is also integrated, Enabling the robot to identify potential landmines or other metallic threats. The PIR (Passive Infrared) sensor identifies camouflaged individuals, Supplying critical threat-related information to support decision-making. Additionally, a gas sensor monitors for hazardous gases, triggering alerts via IoT and Bluetooth (HC-05) connectivity. The robot's communication capabilities are enhanced through Wi-Fi and Bluetooth connectivity, enabling real-time data transmission to soldiers or command centers. A 16x2 LCD display provides real-time status updates, Ensuring effective communication with operators of the robot's status and any detected threats. An alarm system is also integrated, warning soldiers of potential threats and enabling swift response. The robot's mechanical design features a robust four-wheel chassis, allowing it to navigate challenging terrain and operate in various environments. The ESP32-CAM module provides a high-quality video feed, enabling real-time monitoring and surveillance.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-powered surveillance, ESP32-CAM, real-time human detection, Arduino Uno, threat detection, IoT-enabled robot, machine learning, military robotics, gas sensing, obstacle avoidance, embedded systems

  License

Creative Commons Attribution 4.0 and The Open Definition