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subham134's Projects

-registration-form-for-students icon -registration-form-for-students

project to create a registration page and linking it to mysql page and getting the data to a table . it also allows to update and delete the student information

got icon got

Simplified HTTP requests

moodmusics icon moodmusics

A music player which play songs based on your mood. Checkout this link : https://moodmusics.herokuapp.com

predicting-fraud-logins icon predicting-fraud-logins

This code is for predicting the fraud transactions and logins based on the historical data. It is solved by using Machine Learning.

sfml icon sfml

Simple and Fast Multimedia Library

signature-recognition icon signature-recognition

Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as “on-line”. Dynamic information usually consists of the following information:

smoke.js icon smoke.js

Small but good javascript smoke effect 🌬💨

spam-ham-web-app icon spam-ham-web-app

A web app that classifies text as a spam or ham. I am using my own ML algorithm in the backend, Code to that can be found under machine_learning_section. For Live Demo: Checkout this link

styler icon styler

Implementation of Image Style Transfer Using Convolutional Neural Networks, Paper by Gatys, Ecker, Bethge

tictactoe icon tictactoe

A normal game by using html css and javascript

toxic_speech_classification icon toxic_speech_classification

It is a full-fetched web application.Based on sentiment classification, by using nltk library it predicts that a speech is how much toxic, sever toxic, insult, obscene, threat.

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