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Name: RASHI SINGH

Type: User

Company: PRANVEER SINGH INSTITUTE OF TECHNOLOGY,KANPUR

Bio: Just a seeker of knowledge and information who believes that somewhere something incredible is waiting to be found.

Location: KANPUR,UTTAR PRADESH

Hello there, Git Gurus!

Screenshot 2023-08-14 134108

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I'm a dedicated programmer and an avid Web Developer with a passion for tackling real-life challenges through code. My journey in software development has been driven by a genuine enthusiasm for creating meaningful solutions that make a difference. My goal is to sculpt a rewarding career in the vast realm of software development, leveraging my skills to create impactful and transformative technologies. Let's code a better world together! 🚀

  • 🤝 Talk to me about Frontend dev, software development and DSA.
  • 📫 How to reach me: [email protected]
  • 😄 Pronouns: she/her
  • ⚡ Fun fact: "Debugging is like being the detective in a crime movie where you're also the murderer."

My Tech Stack

Programming Languages


Libraries and Frameworks


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☄️ Github Streaks

Connect with me

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RASHI SINGH's Projects

elearning icon elearning

Arivu Where Educators and Students Connect Seamlessly Online. Teachers craft personalized courses for various subjects and grades, while students explore and purchase courses tailored to their needs. Empowering both educators and learners, Arivu revolutionizes online education.

infinite-insights-and-ideas-hub-link-lyric- icon infinite-insights-and-ideas-hub-link-lyric-

Link-Lyric is a modern blog website built using the React framework for the frontend and Appwrite as the backend service. Appwrite will handle user authentication, data storage, and other backend functionalities, making it a robust and secure solution for our blog website.

lexi-synergia icon lexi-synergia

LEXI SYNERGIA is a react project aimed at text transformation and manipulation. It allows users to modify text in various ways. The project offers a user-friendly interface where users can input text and quickly apply desired text formatting options, enhancing efficiency in text editing and presentation.

mnist-handwritten-digit-classification icon mnist-handwritten-digit-classification

The MNIST Handwritten Digit Classification model uses convolutional neural networks to train a variety of image processing systems. The dataset recognizes handwritten digits within texts by analyzing 60,000 training samples of different sizes and orientations

password-generator icon password-generator

This project takes a refreshing approach by prioritizing optimization, setting it apart from others in the domain.

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