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Research Paper

Performance of Micro Unit Development and Refinance Agency (MUDRA) Yojana, an initiative of the Government of India

the project aimed at growing micro businesses. The data for MUDRA Yojana came primarily from MUDRA Yojana's yearly reports and website, but it also came from numerous journals, magazines, and periodical publications. The study looked at a variety of credit schemes and how they performed. To achieve the study's goal, statistical tools such as descriptive, percentage, and ANOVA were used to make meaningful comparisons among schemes, areas, financial institutions, total credit, and account numbers. The necessity of the hour is for a specific or more specialized financial institution to serve the credit needs of micro-firms, especially SMEs. The government's MUDRA Yojana project, which provides financial assistance to micro firms, has proven to be a successful undertaking. In many MUDRA Schemes, the growth rate of account opening and credit distribution is showing a favorable trend. The system has been widely adopted by marginalized groups, with women accounting for 73.41 percent of account holders and new businesses accounting for 25.16 percent. However, the northern states of the country show a lower level of participation in both account formation and credit sourcing. The majority of accounts are opened under the Shishu plan, while Tarun Scheme (Major Projects) participation is low. RRBs and PSBs are less likely than private banks to participate in the scheme, which is not a good trend in the long run. The government's microfinance project is progressing in a balanced manner. Keywords: MUDRA Yojana, Micro Enterprises, Financial Assistance, Marginalised Groups.

Published by: G. Joseph Mary, Dr. T. Varalakshmi, Jyothi Kalyan

Author: G. Joseph Mary

Paper ID: V8I5-1259

Paper Status: published

Published: December 26, 2022

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Research Paper

Digitalized Agricultural Resources Information System and Iot-Based Smart Farming

Grow more plants over a larger area, we need to use slower wattage lights. Overpowering the grow area, simply results in excess heat wasted electricity, and inner tip burn of plants. Lettuce is one of the most popular and faster-growing crops hydroponically. The changes in Temperature, and humidity will affect the growth of the plant. Hence plant monitoring is a necessary part of hydroponic systems. The difficulty of knowing the environmental information and nutrient requirements of the plant sometimes makes issues. The awareness of the above information is an important thing for hydroponic systems. Several types of sensors are required for monitoring the growth of hydroponic systems such as Temperature sensors, Light Sensitivity Sensors, Humidity sensors, etc. A microcontroller is needed for processing the output of the sensor data. A processor called Arduino can accommodate data from different sensors at the same time. The farmers will get the right information on the growth of the plants by using different sensors and analyzing data in such a way they will get more yield. The analyzed report will help the farmers to monitor the growth of the plants and improve the quality of the crops.

Published by: Aju Saigal, Dr. Basheru Aremu, Dr. S Arumuga Peruimal

Author: Aju Saigal

Paper ID: V8I5-1271

Paper Status: published

Published: December 26, 2022

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Research Paper

Validity and reliability study of Menopausal Maladies Scale (MMS)

Menopause is a natural part of the aging process in women’s life during which the women juggle multiple caring responsibilities such as providing care and support to both parents and children or grandchildren. In fact, the women are “sandwiched” between the responsibilities related to two generations. Menopause has various phases as mentioned by STRAW + 10 classification among which perimenopausal and early postmenopausal periods are more significant because the women suffer from most significant health problems due to estrogen depletion. If the problems are not identified in the early stage and treated these problems become sicknesses (maladies) and bring the women’s life to an end. MENQOL, Menopausal Rating scale, and MODIFIED Kupperman’s Index are popularly used tools to assess menopausal problems. The tool Menopausal Maladies Scale (MMS) is developed from the above-mentioned tools. MMS includes a wide range of items relating to the Maladies of menopausal women which mainly ley in the physiological and psychological domains. MMS physiological domain and psychological domain are further classified under physiological Maladies Skin, Heart, Sleep, Joint and muscular problems, and urogenital problems and Psychological Maladies include Depression, Anxiety, Stress, and Memory & concentration. The MMS was a reliable and valid tool to assess menopausal maladies.

Published by: Malathi M., Dr .P. Padmavathi, B. Ashok

Author: Malathi M.

Paper ID: V8I5-1252

Paper Status: published

Published: December 19, 2022

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Review Paper

Diet and lifestyle -key factors in the manifestation and prevention of the disease

Nowadays prescribing medication as a first line of treatment is more common than modifying the dietary habits and lifestyle of people. Improper diet and a sedentary lifestyle are responsible for many diseases. A certain group of diseases popularly knowns as NCD or lifestyle disorders are directly related to these two factors. Ayurveda the most ancient science of medicine still aims at uprooting the cause of diseases rather than symptomatic relief. According to Ayurveda, to achieve and maintain Arogya (health) it is essential to practice healthy dietary and lifestyle interventions. A sufficient amount of safe and nutritious food is key to sustaining life and promoting health whereas improper and unsafe food items create a vicious cycle of disease. Similarly, lifestyle choice plays an important role in the manifestation, prevention, and treatment of the disease. Many lifestyle interventions mentioned in Ayurveda include avoiding the suppression of manifested urges and adapting Swasthavritta in the form of Dincharya, Nishachraya, Ritucharya, and Sadavritta have a huge impact on a person’s overall health. One must adopt these dietary and lifestyle practices to achieve and maintain healthy living. This paper is an attempt to emphasize the importance of dietary and lifestyle behaviors in the manifestation and prevention of diseases, it enlists the various dos and don’t that one must consider in day-to-day life for healthy living.

Published by: Dr. Laxmi Rathore, Dr. Mahesh Vyas

Author: Dr. Laxmi Rathore

Paper ID: V8I5-1251

Paper Status: published

Published: December 16, 2022

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Research Paper

Medical diagnosis using Machine Learning

Health is certainly the most important asset of human beings which directly reflects in their progress or development. In this paper, we propose a machine-based system that can be used for medical diagnosis. The user would be able to upload his medical data through the web application which would be further processed by a machine learning model for health disease detection. Here we focus on major diseases such as Diabetes, Heart, and Kidney. The sole aim is to highlight and prove the benefits of Machine learning in the prediction of diseases and their diagnosis.

Published by: Shubham Chorage, Manish Khodaskar

Author: Shubham Chorage

Paper ID: V8I5-1245

Paper Status: published

Published: December 8, 2022

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Research Paper

Song recommendation system using emotion detection

Human emotion detection is an immediate need so that modern AI systems can simulate and measure facial responses. It also has advantages in the identification of intent, promotion of products, and security verification. Real-time emotion recognition from images and video is a very simple task for the human eyes and brain, but it proves to be very difficult for machines and similar machine learning tools. Basically, Image Processing techniques are needed for feature extraction supported by a reliable database trained in a Machine Learning model for the system. Several machine learning algorithms and tools such as Convolutional Neural Networks, OpenCV, Deep Learning, Eigen values, and Eigen vectors are suitable for this job and I intend to use these methods in this project. For machines development of different modules and then training them using various images and real-time feed is essential. Various leading institutions and researchers have trained their own models for an accuracy of approximately 50% and above. This project explores the ML algorithms as well as emotion detection techniques which would help us in the correct identification of human emotion and furthermore, implementation of the system into a useful application of a music recommendation system.

Published by: Shubham Chorage

Author: Shubham Chorage

Paper ID: V8I5-1246

Paper Status: published

Published: December 8, 2022

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