Name: Kshitij Dwivedi
Type: User
Company: Student
Bio: A novice student, learning to hone skills in computer programming in C/C++ and Web Development to contribute to the world and make it better at its best.
Location: Greater Noida, Uttar Pradesh, India
Kshitij Dwivedi's Projects
This repository includes all the interview preparation questions for Amazon SDE role
AWS Full-Stack Template is a full-stack sample web application that creates a simple CRUD (create, read, update, delete) app, and provides the foundational services, components, and plumbing needed to get a basic web application up and running.
Banking System Implementation using C++ and OOP Concepts.
Free resources for learning Full Stack Web Development
This repository contains Technical Blogs and Interview Experiences
The Full-Stack Web Framework for Go
Learning HTML- Web Development
Full Stack Web Development with Flask.
📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨💻🎯
Develop ML faster. Easily and cost-effectively run dev environments, pipelines, and apps in any cloud.
Using Html and CSS
A full stack web3 on-chain blog and CMS
📚 A learning path for Full-stack web development
ALL LEETCODE FREE LEARNING PROBELMS IN C++
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
MLOps examples
Free MLOps course from DataTalks.Club
Full-stack web development notes.
Full stack solution using Javascript, Azure Static Web Apps, Azure Function, Azure SQL Database and a microservice architecture to monitor in real-time public transportation data, create a geofence and send notification when geofence is activated
Spring-MVC-Tutorials
A example demo base SpringBooot with vueJS2.x + webpack2.x as Java full stack web practice
Building Subtitles(.srt) And Transcript(.txt) file for a given Video using Speech Recognition, Wave Module, and Time Manipulation. Implementing forced alignment of audio and transcript based on word count, transcript, fuzzy search and duration of the video.
A website that predicts diseases and recommends appropriate Medical Practitioner by detecting the point of care i.e., body part and user's selection of symptoms. It was built under the GE Healthcare Hackathon 2021-22. We as Team Phoenix feel proud to say we won bagged the 3rd position in the Hackathon with a prize money of Rs 75000 INR.