Volume 11 | Issue 5 |

 Abstract

This Rather than speaking, human facial expressions provide a lot of information. In the field of human-machine interaction, the recognition of facial expressions is essential. Many things can be done using an automatic facial expression recognition system, including, but not limited to, comprehending human conduct, spotting mental illnesses, and creating fake human expressions. It is still difficult to accurately recognise facial expressions on a mobile device with a high recognition rate. By recognising their body expressions, it is an Android app for instant messaging that helps hearing-impaired users. These expressions will be stored in Firebase's cloud database. The messages are then sent to the other party, or the recipient, who may then read them and determine if the sender is pleased, sad, or experiencing other emotions by reading the text. The sender can now speak with anyone without any problems.

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 Keywords

Impaired; Convolutional Neural Network (CNN); Convolutional Layers; Pooling Layers; Fully Connected Layers.

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 Abstract

Abstract: In today's fast-paced and interconnected world, ensuring the safety and well-being of our loved ones has become an increasing concern. The Family Security App is a comprehensive mobile application designed to address the evolving security needs of modern families. This abstract provides an overview of the key features and benefits of the app. The Family Security App offers a range of robust features to enhance the safety and security of family members. Firstly, it includes real-time location tracking, enabling parents to monitor the whereabouts of their children at all times. This feature ensures peace of mind, especially during hectic schedules or when loved ones are traveling or commuting alone. Additionally, the app incorporates geofencing capabilities, allowing users to set virtual boundaries and receive instant notifications when family members enter or leave designated areas. This feature is particularly useful for parents who wish to ensure their children's safety while they are at school, extracurricular activities, or friends' houses. Another notable feature of the Family Security App is the emergency alert system. Users can easily activate a panic button or send distress signals to pre-selected contacts in urgent situations. This feature proves invaluable during emergencies, enabling swift response and assistance from family members or authorities.

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 Keywords

Security, Location Tracking, Emergency Alerts, Real-time Monitoring

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 Abstract

Voice control is a major growing feature that change the way people can live. The voice assistant is commonly being used in smartphones and laptops. AI-based Voice assistants are the operating systems that can recognize human voice and respond via integrated voices. This voice assistant will gather the audio from the microphone and then convert that into text through the Speech recognition , later it is sent through GTTS (Google text to speech). GTTS engine will convert text into audio file in English language, then that audio is played using play sound package of python programming Language.The main task of a voice assistant is to minimize the use of input devices like keyboard, mouse, touch pens, etc. This will reduce both the hardware cost and space taken by it.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Desktop Assistant, Python, Text to Speech, Speech to Text, Voice Recognition ,Voice control, AI-based Voice Assistant, GTTS Engine, Playsound, Python.

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 Abstract

Asceticism is as old as the religious history of man and efforts for spiritual attainment have taken innumerable forms. The Buddhist Sangha is a religious society in that members adhered to the path provided by the teacher so as to be freed from the bonds of existence and achieve redemption. The Sahgha was just a group or fraternity of Buddha's most devoted disciples. Women battled greatly during Buddha's time to forsake the world and be without worldly bonds. It marked a historic moment in Indian women's history. There were no women in the Sangha at the early stage, it consisted of Buddha's male disciples only. It was actually a few women who undertook the initiative to enroll femininity into the Sangha. Women during Buddha's day may have viewed the life at Sangha as a new start. Women were not allowed to have their own identity, both within and outside of their familial community due to rigid Brahmanical norms. They saw the establishment of Sanghas for women as an opportunity to advance their position in society and personally. The aim of the paper is to revisit the theories regarding the establishment of the Bhikkuni Sangha in early Buddhist time, Buddha's thought about women and the bhikkhuni sangha, the relationship between both genders under the Sangha and conclude the remark on the spiritual journey of the bhikkunis and how it impacted as one of the earliest movement led by women.

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 Keywords

Buddhism, Women, Sangha, Gender Relations

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 Abstract

तृतीय लिंग समुदाय की शिक्षा की स्थिति छत्तीसगढ के सन्दर्भ में

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तृतीय लिंग समुदाय की शिक्षा की स्थिति छत्तीसगढ के सन्दर्भ में

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Agriculture is an important business in order to meet the basic needs of food for the expanding global population. The global economy and human nutrition both depend on the growth of grains and vegetables. Many farmers grow in remote areas of the world and suffer large losses as a result of their reliance on manual monitoring of grains and vegetables and their lack of correct knowledge and disease detection. The use of digital farming methods could be an innovative solution to easily and quickly detect plant leaf diseases. In order to solve these issues, this research proposes a method for recognizing plant leaf illnesses and taking preventive action in the agricultural industry using image processing and Convolutional Neural Networks (CNN). Leaf disease is a major threat to agricultural production and food security worldwide. Early detection and identification of leaf diseases can significantly reduce crop losses and improve crop yield. The use of deep learning in plant disease recognition can minimize the drawbacks associated with the artificial selection of disease spot features, make the extraction of plant disease features more objective, and accelerate the pace at which new technologies are developed. In this research paper, we propose a novel approach for leaf disease detection based on deep learning techniques. This research paper contributes to the development of effective and efficient methods for detecting and identifying leaf diseases, which can ultimately benefit farmers and help ensure global food security.

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 Keywords

Disease Detection, Feature Extraction, Image Processing, Deep Learning, CNN

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 Abstract

Over the one fifty years, various work have been on the coloring of graphs such as vertex coloring and edge coloring. The last fifty years total coloring of the graphs has been considered by various authors. In recent era, the total coloring have been extensively studied in different families of graphs. The splitting graph S(G) of a graph G is obtained from G, by taking a new vertex v' for every vertex v ? V (G) and joining v' to all vertices of G adjacent to v is called a splitting graph of G. In this paper, we discuss about the total coloring of splitting graphs of bistar, splitting graph of double crown graph and splitting graph of n-pan graph.

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 Keywords

Graph coloring, total coloring, bistar graph, double crown graph, n-pan graph, splitting graph

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cosmetics are the substance used to alter the appearance or fragrances of the human body. Nowadays the demands for herbal cosmetics in the world market are growing and are inevitable gifts of nature. There is a wide range of herbal cosmetic products to satisfy the need of women. Lipstick is a cosmetic product containing pigments, oils, waxes, and emollients that apply colour, texture, and protection to the lips. Many varieties of lipstick exist as with most other types of makeup, lipstick is typically, but not exclusively, worn by women. This study aimed to extract dyes from the different plant and utilize them in the manufacture of cosmetics, especially lip color preparations. The research included material collection and plant determination, dye extraction and lipstick preparations made, safety tests. The objective of the present work is to extract the coloured pigments from herbal plant the formula for the preparation of lipstick and evaluate the prepared formulations.

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 Keywords

Lipstick, Dye Extraction, Herbal, Cosmetics.

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 Abstract

In this research, we examine current approaches and then suggest fresh approaches for predicting the stock market. We tackle the issue from three separate angles: fundamental analysis, technical analysis, and machine learning application. The weak form of the Efficient Market Hypothesis is supported by research showing that historical prices do not contain relevant information but that out-of-sample data may be predictive. News that is pertinent to any company listed on the stock market has an impact on future stock movement. We demonstrate how machine learning and fundamental analysis could be used to help investors make decisions. Techniques for machine learning come in handy here. Intelligent investors can use machine learning techniques to predict the behaviour of the stock market since they are aware that the examination of numerical time series produces accurate findings. Utilise the SVM algorithm to train the dataset and forecast the stock market.

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 Keywords

Machine Learning, SVM, Feature Extraction, Classification, Data Analytics, Stock Market, Decision Tree .

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An essential tool in airport security inspections, the X-ray image enhancement algorithm is used to increase the quality of X-ray pictures and find any potentially dangerous goods. By improving the quality and visibility of X-ray pictures using a variety of image processing techniques, the algorithm makes it simpler for security officers to recognise risky objects like explosives, weapons, and knives. The survey also shows that several algorithms have been created to improve the X-ray picture quality for airport security inspections. The local adaptive histogram equalisation technique is one such algorithm that has been demonstrated to enhance the quality of X-ray pictures and lessen the incidence of false alarms during security inspections. The survey also reveals the difficulties encountered while creating algorithms for X-ray image augmentation for airport security inspections. These difficulties include the requirement for precise and effective algorithms that can swiftly handle massive volumes of data as well as the requirement to protect passengers' privacy during security checks.

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 Keywords

X-Ray, Image Enhancement, CLAHE, MATLAB, Dangerous Goods

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Creative Commons Attribution 4.0 and The Open Definition