Name: AYAN SIDDIQUI
Type: User
Company: moneyunder25
Bio: I am experienced in both front and back-end development, and I am proficient in HTML/HTML5, CSS/CSS3, SASS,PHP , JavaScript, jQuery, Swift, and SQL/MySQL/
Location: India
Blog: https://codepen.io/ironman_
AYAN SIDDIQUI's Projects
PULL/MERGE REQUESTS
Help secure Express apps with various HTTP headers
Multiple hover design code for web developers perfectly working.
Latest and interesting Html5 Games Play and also contribute if you want Latest games
Java Placement prep
An easier way to build neural search in the cloud
JPF is an extensible software analysis framework for Java bytecode. jpf-core is the basis for all JPF projects; you always need to install it. It contains the basic VM and model checking infrastructure, and can be used to check for concurrency defects like deadlocks, and unhandled exceptions like NullPointerExceptions and AssertionErrors.
Problems solve on leetcode !
Special Repo to my Personal presentation on Github Profile.
šļø Decentraland's NFT Marketplace
š„ The Complete Customizable Software Developer Portfolio Template which lets you showcase your work and provides each and every detail about you as Software Developer.
š Bring WordPress to the static world with Next.js
Demo for showing how to get backend data to the frontend
Web scraper to store/scrap html, CSS, JS from website of your choice !
Open Source Computer Vision Library
The Rails application that powers OpenStreetMap
Some fun and useful projects with Python
Responsive Portfolio Website Using HTML, CSS & JavaScript
Iād been learning a lot of new programming tricks lately and picking up new tools too. Some of these tools got me really excited that I have to share them! These tools are not commonly recommended in online tutorials or articles and might not be well-known to code newbies:
A chess game made with TypeScript
An Alexa Skill Sample to demonstrate how to write skills for Echo Show and Echo Spot in Java using the Alexa Skills Kit (ASK) SDK v2
Patience card game
Machine learning has significant applications in the stock price prediction. In this machine learning project, we will be talking about predicting the returns on stocks. This is a very complex task and has uncertainties.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall