Volume 11 | Issue 5 |

 Abstract

Abstract:- Prakruti Mahila Vikas Kendra, Chandrapur (Maharashtra) is a reputed NGO working for women's sustainable development since 2003. The NGO is working in Chandrapur district's five talukas; Chandrapur, Rajura, Ballarpur, Jivti, and Korpana, and functioning for the development of women and the rural community. Women's economic empowerment, Health, Panchayat Raj, Self-Help Groups, Atrocities against women, Employment, and Family Counselling are the issues on which the NGO is striving endlessly. The vision of the NGO:- To establish a society based on equality, freedom, justice, and fraternity by removing oddities in class, caste, sex, color, religion, and gender. To work for women's financial, social, political, and cultural development. Objectives of the NGO:- 1. Creation of women's strong organization through Mahila mandals and their self-help groups. 2. Creating gender equality and social equality 3. Organizing various awareness programs for leadership development and personality development of women. 4. Economic, Social, Political, and Cultural development of women.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

economic empowerment, Leadership skills, upliftment, Sanjivani, gender equality

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The volatile nature of the stock market makes it very difficult to predict future market trends and where to invest. Hence, there is a need for cross-utilization supported by ultramodern architecture. With the recent advancement of LSTM & KNN, continuous practical problems can be modeled and solved with human-level accuracy. Apart from this, in dealing with interim trading strategy, the proposed architecture is designed as a continuous training pipeline so that the stored model is up-to-date with the latest market trends by providing high accuracy in prediction. The framework outperforms basic LSTM & KNN model algorithms and maximizes portfolio returns. Experimental results show how natural language processing and statistical inference can help us pick trending stocks based on news headlines and historical data. To evaluate the performance of the proposed method, a comparison of our portfolio results was made with various LSTM & KNN model algorithms keeping the same configuration.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Deep Learning, LSTM, KNN, Stock Market.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Deep learning and image segmentation techniques are widely used in various sectors nowadays but, these methods play a predominant role in diagnosis of various health conditions. Automated and detailed medical image segmentation model have gained popularity since the advent of deep learning techniques specifically fully convolutional neural networks (FCNN). U-Net is one such fully convolutional neural network (FCNN) based image segmentation model, which has proven its efficiency in medical image segmentation over recent years. In this paper, we present the traditional U-Net model in comparison with a novel U-Net model with an additional dropout layer in each convolutional layer. Here, we compare these models considering the dice average values obtained for two different data inputs containing ultrasound images of a carotid artery in various patients. The proposed U-Net model with dropout layer is observed to have better dice average values in comparison with the traditional U-Net model.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Medical Image Segmentation, FCNN, Deep learning, U-Net

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The stock market is a complex and dynamic system that can be difficult to predict accurately. Machine learning has emerged as a powerful tool for analyzing market data and making predictions about future trends. In this project, we explore the use of various machine learning techniques for predicting stock prices, including regression, classification, and deep learning models. We compare the performance of these models on historical data from a variety of stocks and evaluate their ability to make accurate predictions. Our results show that machine learning can be an effective approach for predicting stock prices, but the accuracy of the models varies depending on the specific market conditions and the type of data used. Overall, this study demonstrates the potential of machine learning for stock market prediction and provides insights into the strengths and limitations of different techniques.

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 Keywords

investor sentiment, stock market, big data

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper proposes an IoT-based system for predicting the energy production of wind turbines using NodeMCU, LCD display, and various sensors such as accelerometer, temperature and humidity, and rain detection sensors. The system also includes a voltage controller to regulate the output voltage of the wind mill. The data from these sensors is collected and transmitted to a central server using IoT protocols, where machine learning algorithms are applied to predict the energy production of the wind turbine. The system also features an LCD display that provides real-time data visualization for the user. Additionally, a suggestion mobile app is developed to provide recommendations for optimizing the energy production of the wind turbine based on the sensor data. The proposed system is expected to improve the efficiency of wind turbines and contribute to the growth of renewable energy.

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 Keywords

IoT mobile app, LCD Display, Rain Detection Sensor, Node MCU, Battery, Wind Mill , Temperature and Humidity Sensor, Accelerometer, Charging Port.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The venture known as "Enhancing Digital Forensic Inquiries with Data-Driven Decision Support" is a web-based appeal. This software bestows a solution for confirming criminal felonies, problems", and mislay individuals to DIG. This software yields a facility for detailing online crimes, online protests, and mislaid persons appear criminal lists and points on the web page. Any number of the public can grumble online. Each user first makes their login to the server to share their openness. An effective way to start this task is to develop a mission statement that embodies the core functions of the unit, whether those functions are high-technology crime investigations, proof collection, or forensic analysis. However, Cyber forensics stifle steps to investigate or collect the data It is defined as the processes and devices used in investigations and gathering proof. Some of the decrees will be provided as a default such as category-wise. By analyzing the investigation report, the activity will be optimized to process the investigation process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AES Algorithm, Cyber Crime, Crime Data Management, Crime Investigation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays people are facing lots and lots of health issues. This project aims to develop a system that can remotely monitor BPM and temperature of the body using a pulse sensor, a temperature sensor, a GSM module, and an Arduino Uno microcontroller. Arduino UNO collects real time health data from Photoplethysmography which measures heart beat per minute or BPM. A NTC Thermistor connected to Arduino UNO measures body temperature of the patient. The pulse sensor detects the pulse rate by calculating the blood flow in the fingertip, while the temperature sensor measures the body temperature. The Arduino Uno communicates with the sensors and the GSM module to send the data to a remote server via SMS. The remote server can receive and store the data in a database for further analysis. IoT can be used to monitor patients remotely, provide real-time health data, and improve patient outcomes.The system is designed to be low-cost, portable, and user-friendly. It can be used in various applications, such as monitoring the vital signs of patients in remote areas or monitoring the health of athletes during training. The system can provide real-time data on pulse rate and body temperature, allowing for quick detection and response to any abnormalities.This will improve the Medical system to function efficiently.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pulse sensor, LM35, Global System For Mobile Communication(GSM) Module 900a,Arduino UNO.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hero Honda started its operations in 1984 as a joint venture between Hero Cycles of India and Honda of Japan. In June 2012, Hero MotoCorp approved a proposal to merge the investment arm of its parent Hero Investment Pvt. Ltd. with the automaker. This decision came 18 months after its split from Hero Honda. "Hero" is the brand name used by the Munjal brothers for their flagship company, Hero Cycles Ltd. A joint venture between the Hero Group and Honda Motor Company was established in 1984 as the Hero Honda Motors Limited at Dharuhera, India. Munjal family and the Honda group both owned a 26% stake in the company. Hero MotoCorp Limited (formerly Hero Honda) is an Indian multinational motorcycle and scooter manufacturer headquartered in New Delhi. The company is one of the largest two-wheeler manufacturers in the world, as well as in India, where it has a market share of about 37.1% in the two-wheeler industry. Hero MotoCorp has a cumulative sale to date of over 110 Million motorcycles and scooters.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Rural Market, Demand , Supply

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Women's safety is an important issue facing society. Crimes against women like eve-teasing, and sexual assault, and there is a daily rise in domestic violence. In relation to security concerns, a smartphone is the easiest way to get help. This project tries to develop an Android application (OSA - One Safety App) that will assist in defending women in all circumstances they may face in their daily life. This Android app has incorporated various security measures that are developed efficiently. It can be utilized by women in risky circumstances by shaking their mobile phone multiple times, to quickly and easily access assistance or to avoid and flee in dangerous situations. GPS position tracking is used and live video sharing is the best system to offer a quick and easy manner for registered contacts to learn if the user is in distress and to make it simple for them to contact the person. The hidden camera detection in this app helps users protect themselves in many places and situations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Global Positioning System(GPS), Magnetometer, Camera, Women Security, Smartphone.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ability to communicate is fundamental to the human experience, but for the deaf and mute communities, this can be a challenge. Sign language is an essential tool for communication among these communities, but it requires a certain level of expertise to comprehend and use it. To address this issue, we propose a Sign Language Detection system that utilizes various sensors such as Flex Sensor, Gyroscope Sensor, and a Bluetooth Module, along with a Mobile Application and an LCD Module. The system operates by detecting the movements of the hand and wrist using the Flex Sensor and Gyroscope Sensor. These sensors detect the angle and bend of the fingers and wrist, respectively, and convert these movements into digital signals. The system is built on an Arduino platform and aims to enhance communication between the hearing and the deaf/mute communities. The proposed Sign Language Detection system is a significant step towards bridging the communication gap between the hearing and deaf/mute communities. By utilizing various sensors and a Mobile Application, the system can accurately detect and translate sign language into text, making communication more accessible and efficient. it allows for real-time communication, as the system processes the signals and translates them instantly. Finally, it is cost-effective and easy to use, making it accessible to a wide range of users.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino uno, Flex sensor, Gyroscope sensor, Mobile Application, Bluetooth module, Sign Language

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Creative Commons Attribution 4.0 and The Open Definition