Aakash

amazon_price_tracker. It is a web app which provides the user a HTML Form that asks for user’s name, link of the desired Amazon product, desired price and user’s email address. When user fills this form and clicks on the Submit button, their data gets stored in a database. From there a Python script checks the real-time price of the Amazon product until it meets the desired price given by the user and when it matches, the Python script shoots a mail with details of the product on user’s email address and deletes the record from database to avoid multiple mailings.

bitcoin_101. Basically this project is divided into two parts. Bitcoin Price Live Chart – In this, the Binance Crypto API, a streaming data API, is connected to a JavaScript websocket, which then gives the data to Light Weighted Trading View Candlestick Chart. Afterwards, the live chart is implemented to a Flask framework, which is then containerized by Docker and deployed through Azure. Flutter App – A basic Flutter app, in which the user sees an interactive front page. On the front page the user can find a button, which when clicked, renders in a webview page the Bitcoin Price Live chart which is deployed on Azure. By this the user gets the live price change of Bitcoin Crypto Currency on their cell phone by just clicking a single button.

Amazon-Top-50-Bestselling-Books-2009---2019. Dataset on Amazon's Top 50 bestselling books from 2009 to 2019. Contains 550 books, data has been categorized into fiction and non-fiction using Goodreads.

kaggle_summary_card. Python

Breast-Cancer-EDA-Predictive-Modelling-. Jupyter Notebook

EDA-on-Covid-19-India-. Jupyter Notebook

superherodataset. Python

bitcoinpricedataset. Python

Certifications.