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Ms. Rashmi Kanyal

Assistant Professor Computer Applications

Rashmi Kanyal is an Assistant Professor in the Department of Computer Applications with a strong commitment to teaching, research, and academic development. She has a keen interest in research and is actively engaged in exploring emerging technologies in the field of Machine Learning and Artificial Intelligence. Her academic pursuits focus on understanding how intelligent systems can be designed to analyze data, learn patterns, and support decision- making in real-world applications.

She continuously works toward enhancing her knowledge and research capabilities by studying recent advancements, tools, and methodologies in AI- driven systems. Rashmi Kanyal actively contributes to academic initiatives such as curriculum development, workshops, and departmental activities. She believes that a strong research culture combined with effective teaching is essential for nurturing future professionals in computer applications. Her long-term goal is to contribute meaningful research outcomes in Machine Learning and Artificial Intelligence while mentoring students toward academic excellence and professional growth.

Research Area

  • Artificial Intelligence
  • Machine Learning

Education

  • BCA
  • MCA

Research Detail

https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=optimizing+Agricultur e+decision+with+machine+learning+based+crop+recommendation+Rashmi+Kan yal+&btnG=#d=gs_qabs&t=1768825431326&u=%23p%3Dfzz64anNazoJ

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