Volume 10 | Issue 6 |

 Abstract

The last two year has been difficult for the world and their economy too . COVID- 19 pandemic effected economy account badly. Repeated waves of pandemic criticize markets and distribution channel and more recently inflation have created particular challenging times for policy making. Faced with these challenges, the government of India immediate response was bouquet of safety-net to cushion the impact on various sectors. It next paused through a significant increase in capital expenditure on infrastructure to build back medium term demand as well as aggressively implemented supply-side measure to prepare the economy for a sustains long term expansion. This article focused how to Indian (BOP) current account surplus during pandemic and which drive effects surplus. Advance estimates suggest that the economy is expected to witness real GSD expansion of 9.2 per cent in 2021-2022after contracting in 2020-2021. This implies that overall economic activity has recovered past the pre pandemic levels.

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India (BOP) Surplus during pandemic

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SSA, Intrusion, PSO, Naive Bayers, NIDS, FS.

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Creative Commons Attribution 4.0 and The Open Definition

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Summary ,YouTube transcript , NLP , T5 Model

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Depression is a serious mental condition that affects people of all ages and genders. Depression is caused by work culture, demanding living, emotional imbalance, family troubles, and social life. As a result, according to the World Health Organization's predictions, depression will become the second greatest cause of sickness (WHO). Despite the availability of well-trained physicians, medical and psychological treatments for depression, individuals and families are reluctant to speak out or contact doctors about the disease for a variety of social reasons. The diagnosis of depression disorder entails multiple interviews with patients and their families, clinical analysis, and questionnaires, all of which take time and require well-trained physicians. The detection of depression is automated using a machine learning approach. Extraction of acoustic and facial features becomes more efficient and accurate with the use of improved machine learning techniques such as the MLP algorithm and the DeepFace library.

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 Keywords

Speech processing, PHQ-9, Machine Learning, DeepFace, MLP Classifier

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Creative Commons Attribution 4.0 and The Open Definition

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EBIT and EPS analysis, Leverages, Start-ups, Financial Break-even point, Cash BEP

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Emotional recognition from speech is one of the most researched topics nowadays in the field of signal processing and human machine interaction system. Unlike humans, machines do not have the ability to detect and express emotions. However, personal computer interaction can be improved with an automated emotional recognition system by reducing the need for human access. In this study paper, a speech recognition technique was introduced using the Convolutional Neural Network (CNN) with features of Mel Frequency Cepstral Coefficients (MFCC). Human-computer interaction can be improved with emotions recognition. In this project, a method for speech emotion recognition is presented using Neural Network with Mel Frequency Cepstral Coefficients (MFCC) features and RAVDESS Dataset is used. From our project, we have found an average of 57.64% accuracy where 8 different emotions were classified

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 Keywords

Speech Emotion, MFCC, Convolutional Neural Network.

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Nowadays, calcium deficiency is commonly seen in all stages of life, so intake of dietary calcium from calcium-rich food sources such as amaranth flour, dried dates, and nuts is one strategy to boost calcium levels in humans. This could be a beneficial way to decrease calcium insufficiency. Cookies are soft and chunkier versions of biscuits, and this project was an attempt to make them by combining the above-mentioned ingredients. The cookies available in the market are made from various refined flours, having a high content of sugar, trans fats, preservatives, etc. These cookies are calcium-rich, contain fibre, proteins, and carbohydrates, and have anti-inflammatory properties. These cookies will benefit and be helpful for multiple health problems. The objective of this study is to develop a healthy cookie with high calcium content and label it as "healthy bites." They will also be sensory evaluated periodically to study its shelf life. The study will also explore on other aspects such as packaging, nutritional labelling, budget, and marketing aspects.

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Calcium intake, amaranth flour, dried dated, nuts, sensory evaluations.

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Value is determined on basis of its selling price and rent or income it can fetch. This study covers the methodology verified by the government approved valuer and concerned field expert. Valuation is the analytical process of determining the currents worth of an asset or a company. Simply, valuation is the technique of determining the current market value of the property such as industrial, residential, commercial, agricultural land. The purpose of this is to introduce people with general field practice of valuation. The finding of this study is likely to have important implications in the valuation profession. This study directly introduces users with actual practice of valuation carried out in the field so that they can compare the theories and actual methodology. This study will result in stimulating debate and a realization of a need for a theory which supports a validated process of valuation. The objective of this is to identify the market value of plant and machinery properties for purpose To Assess the Fair Market Value of single face corrugation machine, sheet cutter machine and corrugated box stitching machine in jai ganesh enterprises is situated in sinnar (Maharashtra), India. This study helps owner to know the actual condition of industry and simplify the finance amount of the property. The valuation of the property helps the owner of the property to know the actual rate of the property

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Keywords: Methodology, Industrial Property, Field practice, Valuer, Valuation, Market Value, Finance.

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Farmerbot, Machine learning, speech-to-speech recognition.

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The current study describes the preparation of reduced graphene oxide based zinc sulphide (ZnS-RGO) composite via co-precipitation approach and different composites were prepared with the changing in concentration of GO. The obtained samples were examined for their structural, optical and electrical properties of prepared samples with the help of sophisticated analytical instruments such as XPS, FTIR, XRD, BET, SEM-EDX, TEM, UV-DRS and TGA. The prepared composites and pure ZnS and its composites were determined for their photocatalytic performance by the degradation of malachite green dye aqueous solution under visible light irradiations. Significant result obtained as a complete degradation of MG dye aqueous solution in 180 min by ZnS-RGO composite with the optimized pH-9, 0.03g catalyst dosage and 10 ppm dye concentration. In addition, the antibacterial performance of prepared composites were determined over the gram positive and negative bateiral pathogens and results drawn that prepared composite was the most effective for the degradation of malachite green and antibacterial agent.

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 Keywords

ZnS-RGO; co-precipitation; malachite green; photocatalytic degradation; antimicrobial activity.

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Creative Commons Attribution 4.0 and The Open Definition