DNA Barcoding based Species Classification Using Deep Learning

DNA Barcoding based Species Classification Using Deep Learning

1.Pooja Gawade , 2. Harshada Pawar, 3. Pranjali Ghadge, 4. Prachi Gawande

Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati 1,2,3,4 UG students, Department of Information Technology Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati

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Abstract - The field of species classification and identification has long relied on various methods, including traditional taxonomy, morphology, and molecular techniques. One of the revolutionary molecular methods that has gained prominence is DNA barcoding. DNA barcoding involves the use of a short standardized DNA sequence from a specific genomic region to identify and classify species. The ”Deep Barcoding” project introduces a novel approach to species classification by leveraging the power of deep learning techniques. Deep learning, a subset of machine learning, has shown remarkable success in various domains, particularly in image and text recognition. This project aims to harness the potential of deep learning in the realm of DNA barcoding, where the traditional methods might face limitations in accuracy, speed, or scalability.

Keywords:  DNA sequence, Species Identification, One hot encoding, CNN