Bienvenue
to my Portfolio

About Me

image

Hi! I'm Gokulprasanth

And I'm

Pursuing my B.E Computer Science Engineering at KPRIET🧑‍💻. Highly motivated ML Engineer with a passion for developing innovative solutions. Skilled in designing and implementing machine learning algorithms to solve complex problems. Strong programming abilities in Python and often seek new responsibilities within a wide range of areas.

Qualification

Education

Bachlor of Engineering

I am currently pursuing my BE degree in computer science and engineering from KPR Institute of Engineering and Technology, Coimbatore.

Higher Secondary

I completed my Higher Secondary in Literacy Mission Matric Higher Secondary School, Samalapuram, Tiruppur with 96.6%

SSLC

I completed my SSLC in Literacy Mission Matric Higher Secondary School, Samalapuram, Tiruppur with 95%

What I have done still

Internship

Machine Learning Internship Dec 2022 - Jan 2023

Connected Computing And Media Processing Laboratory ,Kyungpook National University, South Korea

Deep Learning Intership Jun 2023 - Jul 2023

Connected Computing And Media Processing Laboratory ,Kyungpook National University, South Korea

Achievements

  • 3rd prize in Blind coding at KGisel - Sep 2022 .
  • 1st prize in Machine Learning Hackathon at Bannari Amman Institute of Technology - Feb 2023.
  • Special mention award in Intel Oneapi Hackathon - Apr 2023
  • Participated in Trichy NIT Hackathon - Feb 2023

Certificates

Coursera

  • IBM Machine Learning Professional Certificate
  • Statistics for Data Science with Python
  • Tool for Data Science
  • Machine Learning with Andrew NG

Nptel

  • Introduction to Programming in C
  • Data Analytics with Python

Nassom

  • Acquring Data
  • Introduction to IoT by CISCO
  • AWS Cloud Parctitioner Essentialsby AWS

Skills





Projects



Plant leaf Diseases Detection

plant leaf

Plant Leaf Diseases Detection using YOLOv8 is object detection project which is developed for detecting and identify diseases affecting plant leaves.

More Info

Trash Detection using Intel OneApi

trash detection

Trash Detection aims is developed as a solution to detect and identify trash in public areas using Deep Learning architecture on the Intel OneApi Platform.

More Info

Calculator Using HTML, CSS, and JavaScript

calculator

This project implements a simple calculator using HTML, CSS, and JavaScript to perform basic arithmetic operations.

More Info

Skin cancer Classification using Deep learning Model

skin cancer

Skin Cancer aims is developed as a solution to detect and identify type of skin cancer using Deep Learning architectures.

More Info




Contact