Vishakha Niraj Nagrale
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About
Dr. Vishakha Niraj Nagrale is an accomplished academician with extensive experience in the field of Computer Science and Engineering. Holding a PhD from Kalinga University, she has specialized knowledge in her domain. Currently serving as an Assistant Professor at G H Raisoni Institute of Engineering and Technology, Nagpur, she brings over two decades of teaching expertise, primarily at Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur. Her academic journey includes notable contributions in research, evidenced by multiple research IDs and a significant publication record. Dr. Nagrale is dedicated to fostering learning and innovation in her students while actively contributing to the academic community through her research endeavors.
Skills & Expertise
Python
C Programming
Compiler Construction
Computer Graphics
Data Analytics
Research Interests
Computer Science and Engineering
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Experience
Education
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Kalinga University (KU), Raipur
Conferences & Seminars (1)
Iot Based Smart Food Grain Warehouse
Because 70% of India’s population is involved in agriculture, the shortage of grains has a severe influence on the economy of the nation. Due to the fact that grains are the main source of food and the foundation for many basic foods, they are essential to all area of a person’s life. As a result, the cultivation and storage of grains are crucial to the economic and social wellbeing of the country. It is a severe problem that food waste occurs primarily during the operations of harvesting, processing, distributing, and retailing. In order to reduce food waste, a good storage method must be employed to safeguard the food grains. This is made possible by IOT-based automation, which continuously tracks and monitors food grains kept in storage warehouses. Temperature, humidity, and CO 2 concentration are significant atmospheric elements that might impact the quality of stored grains in go-downs and warehouses during grain storage. This technical paper describes the creation of a smart grain storage system that uses ultrasonic mouse repellent to control rodent while also monitoring air conditions.
Patents (1)
Crowd Abnormal Detection of CCTV video Using Deep Learning
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Publications (1)
It is important to monitor and analyze the crowd for peaceful event organization and minimum number of persons killed or injured in a stampede, war or accident in public or religious places. Ultimatel...
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