Ritika Radhakrishnan's repositories
ritikaradhakrishnan
Config files for my GitHub profile.
thriftU
Explore the MERN Stack E-Commerce Service App "thriftU", dedicated to sustainable shopping. I rely on MongoDB, Express.js, React.js, and Node.js to create a seamless, high-performance experience. With Stripe for payments and real-time chat, "thriftU" harness technology to make eco-friendly choices easier in an environmentally conscious world.
ritikaradhakrishnan.github.io
A minimalist portfolio website, I've been passionately curating and updating for the past two years. This space reflects my journey, growth, and commitment to web development.
not-so-rad
Welcome to My Blog - Where I Simplify Intriguing Tech Concepts!
DataStructuresCPlusPlus
Welcome to a collection of well-crafted data structures in C++! This repository offers comprehensive solutions for fundamental data structures, carefully designed and implemented to empower your programming journey.
SmartNotes
An AI chatbot project "SmartNotes" utilizing Next.js 14 with a modern Shadcn UI and a responsive notes layout. Powered by MongoDB Atlas and Prisma for efficient data management, and featuring secure user authentication via Clerk. It incorporates OpenAI and Pinecone for intelligent responses.
SVMandLogisticRegression-MNIST
CIS 563 Introduction to Data Science's final Project : Support Vector Machines and Logistic Regression - Classification models are compared along with testing done on real time data.
VueJS-Random-Person-Generator
Exploring VueJS by creating a random person generating website using the 'randomuser.me' API
Machine-Learning-with-Python---Basics-and-Algorithms
A 'Machine learning using Python' internship at Foxmula-Y which taught me the basic algorithms of machine learning in supervised and unsupervised learning .
RitikaRAD_Portfolio
Portfolio
CplusplusProgramming-Solutions
My solutions for C++ Hacker rank questions.
Wolf-Wiki
A simple gui (PySimpleGUI) to find answers using Wolfram|Alpha
Fraud-Credit-Card-Transaction-Detector-using-Machine-Learning
Due to the ongoing pandemic, there is a sudden boom in the E-commerce industry and hence many online sites have increased the online payment modes, increasing the risk for online frauds. Increase in fraud rates, researchers started using different machine learning methods to detect and analyse frauds in online transactions. The main aim of the project is to design and develop a fraud detection model based on the given Dataset.
educative.io_courses
this is downloadings of all educative.io free student subscription courses as pdf from GitHub student pack