bhavyadubey Goto Github PK

image_compression

online_news_popularity

This work will help online news companies to predict news popularity before publication ,the news popularity are often indicated by the amount of reads, likes or shares. For the web news stake holders, it’s very valuable if the recognition of the news articles are often accurately predicted before the publication.

prediction-of-heart-disease-using-data-mining-techniques

Built an algorithm using the multilayer perceptron in machine learning that uses 14 medical parameters such as age, sex, blood pressure, cholesterol, and obesity for effective heart disease prediction . Took an existing data set, cleaned, and manipulated through python, created a UI using HTML and CSS

refinednet-for-image-dehasing

Built framework for Image dehazing for autonomous/electric vehicles driving in inclement weather conditions using deep learning Created a dehazing interface using Stream Lit which takes a foggy image as an input and gives the clear image as an output .Took an existing dataset, cleaned, and manipulated using Python and Deployed on website through Stream Lit

setiment_analysis_finance

Retrieved financial institutions data using Twitter’s API, created a database, and performed pre-processing of this data • Created an AI module which classified each tweet into three different sentiment groups: Positive, Negative and Neutral Developed a POC which predicted the stock price of these financial institutions based on the different sentiment groups

tej-courier-service

Designed a SQL database for a delivery service company, to store, manipulate and retrieve package information like payment status, transport details and sender/ receiver information. Created an Entity Relationship Model (ERM), Functional Relationship Diagrams, configured tables and ran queries.

training-assignments-evosys