Vimal's starred repositories
Fraud-Transaction-Detection-by-Balancing-Distribution
Imagine standing at the check-out counter at the grocery store with a long line behind you and the cashier not-so-quietly announces that your card has been declined. In this moment, you probably aren’t thinking about the data science that determined your fate. Embarrassed, and certain you have the funds to cover everything needed for an epic nacho party for 50 of your closest friends, you try your card again. Same result. As you step aside and allow the cashier to tend to the next customer, you receive a text message from your bank. “Press 1 if you really tried to spend $500 on cheddar cheese.” While perhaps cumbersome (and often embarrassing) in the moment, this fraud prevention system is actually saving consumers millions of dollars per year. Researchers from the IEEE Computational Intelligence Society (IEEE-CIS) want to improve this figure, while also improving the customer experience. With higher accuracy fraud detection, you can get on with your chips without the hassle. IEEE-CIS works across a variety of AI and machine learning areas, including deep neural networks, fuzzy systems, evolutionary computation, and swarm intelligence. Today they’re partnering with the world’s leading payment service company, Vesta Corporation, seeking the best solutions for fraud prevention industry, and now you are invited to join the challenge. In this competition, you’ll benchmark machine learning models on a challenging large-scale dataset. The data comes from Vesta's real-world e-commerce transactions and contains a wide range of features from device type to product features. You also have the opportunity to create new features to improve your results. If successful, you’ll improve the efficacy of fraudulent transaction alerts for millions of people around the world, helping hundreds of thousands of businesses reduce their fraud loss and increase their revenue. And of course, you will save party people just like you the hassle of false positives. Acknowledgements: Vesta Corporation provided the dataset for this competition. Vesta Corporation is the forerunner in guaranteed e-commerce payment solutions. Founded in 1995, Vesta pioneered the process of fully guaranteed card-not-present (CNP) payment transactions for the telecommunications industry. Since then, Vesta has firmly expanded data science and machine learning capabilities across the globe and solidified its position as the leader in guaranteed ecommerce payments. Today, Vesta guarantees more than $18B in transactions annually.
ai-finance-pencil
A versatile personal finance management tool, ai-finance-pencil combines Django Rest Framework and Next.js to provide an intuitive UI for tracking income and expenses. Enhanced with OpenAI's GPT-3 for interactive insights, budgeting tips, and chat support.
Basic_Ecommerce_Recomendation_System
This repository contains the code for basic kind of E-commerce recommendation engine. By using the concept of TF-IDF and cosine similarity, we have built this recommendation engine.
mern-social-media
[Full stack react project/ MERN stack project] A MERN stack based project on social media application with admin panel. It is completely working project. it's completely responsive application
flutterGemini_Bloc
This is demo project showcasing the power of 𝐆𝐨𝐨𝐠𝐥𝐞 𝐆𝐞𝐦𝐢𝐧𝐢 𝐀𝐈 (formerly known as 𝐆𝐨𝐨𝐠𝐥𝐞 𝐁𝐚𝐫𝐝) in Flutter.
Babylon.js
Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework.
awesome-selfhosted
A list of Free Software network services and web applications which can be hosted on your own servers
win11React
Windows 11 in React 💻🌈⚡
copilot-docs
Documentation for GitHub Copilot
DSA-Bootcamp-Java
This repository consists of the code samples, assignments, and notes for the Java data structures & algorithms + interview preparation bootcamp of WeMakeDevs.
Twitimer-Android
App Android correspondiente al proyecto twitimer.com de la comunidad MoureDev
nocom-explanation
block game military grade radar
flutter_ume
UME is an in-app debug kits platform for Flutter. Produced by Flutter Infra team of ByteDance
Beaconator
A beacon generator using Cobalt Strike and a variety of tools.
HiveNightmare
Exploit allowing you to read registry hives as non-admin on Windows 10 and 11