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Krunal's GitHub Profile


Hi there!

My name is Krunal Chavda and I am a third-year computer engineering student at University of Saskatchewan. I am passionate about software development,data science, deep learning and embedded systems development and constantly striving to learn new technologies and improve my skills.

On my GitHub profile, you will find a variety of projects that I have worked on. These projects range from small personal projects to coursework assignments, and they showcase my abilities in various programming languages and technologies.

I am always looking for new opportunities to learn and grow, so please feel free to reach out to me if you have any suggestions or opportunities for collaboration.

Thank you for visiting my profile, and I hope you find my projects interesting and informative!

Krunal Chavda's Projects

birthdayapplication_krunal icon birthdayapplication_krunal

its a birthday wishing app. so it is my first app and this is where my journey started of being an android developer. it takes your birthday as an input and gives you a good template of happy birthday with your name.

compound_interest_calculator icon compound_interest_calculator

This is the code for a normal compound interest calculator made using tkinter library of python and using some basic python.

datascienceprojects icon datascienceprojects

This repository is mainly for my Data Science Projects that I made while learning DATA SCIENCE.

dltfpt icon dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

friendly_ground_truth icon friendly_ground_truth

A tool for manually creating ground truth masks from images of plant roots where a significant amount of detail is required.

memeshare icon memeshare

it is a basic android app which pulls random memes from a sub reddit called dank memes and it allows you to share your apps with your friends.

mlflow icon mlflow

Open source platform for the machine learning lifecycle

summize icon summize

Summize is an AI-powered web application built with VITE+React that allows users to quickly summarize long articles. It leverages the power of Rapid API to provide efficient and accurate article summarization.

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