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Projects in Awesome Lists by parthnagarkar875

A curated list of projects in awesome lists by parthnagarkar875 .

https://github.com/parthnagarkar875/linkedin-followers-bot

:rocket: Boost your LinkedIn engagement and increase your visibility!

automation linkedin python selenium selenium-webdriver

Last synced: 16 Feb 2026

https://github.com/parthnagarkar875/LinkedIn-Followers-Bot

:rocket: Boost your LinkedIn engagement and increase your visibility!

automation linkedin python selenium selenium-webdriver

Last synced: 10 Mar 2025

https://github.com/parthnagarkar875/twitter-data-mining-for-targeted-marketing

Mined data from Twitter and classify the users based on their locations and preferences to target them through marketing campaigns.

marketing-campaigns marketing-tools python twitter

Last synced: 12 Apr 2025

https://github.com/parthnagarkar875/sclera_recognition

A new method for bio metric authentication system was developed in which the users were authenticated on the basis of their Sclera. A photo of the user's eye was captured and it was processed with the help of filters and different algorithms to extract the features, namely Blood vessels visible on the user's Sclera. These features were stored in the database and were compared with the new features that were generated every time a user tried to authenticate herself.

biometrics matlab matlab-gui

Last synced: 12 Apr 2025

https://github.com/parthnagarkar875/insta-followers-bot

In this script, the Bot will follow, like and comment on the photos displayed in the search results of certain Hashtags. In turn, many users whose photos have been liked, commented by us and whose profiles have been followed by the bot will follow us back in most cases.

Last synced: 03 Jul 2025

https://github.com/parthnagarkar875/sentiment-analysis-twitter

In this project, the sentiment analysis of tweets posted on the website www.twitter.com is performed with the help of Multinomial Naive Bayes classifier.

Last synced: 12 Apr 2025

https://github.com/parthnagarkar875/sentiment-analysis-of-fifa-wc-tweets

A random collection of 5.3 lac tweets on the FIFA world cup 2018 starting from the Round of 16 till the World Cup Final were analyzed using the TextBlob library which has a pre-trained built in lexicon to classify them as either positive, negative or neutral. A pie chart was used to show the percentage of positive, negative or neutral tweets related to the world cup.

Last synced: 12 Apr 2025

https://github.com/parthnagarkar875/musical-keyboard

On the browser, the user can type any alphabets and corresponding to each alphabet, there is a unique sound and animation that gets displayed on the screen.

Last synced: 08 Mar 2026

https://github.com/parthnagarkar875/customer-churn-prediction-using-deep-learning

To analyze the proliferating churn rates of a bank, an Artificial Neural Network has been implemented to predict whether a customer will stay or leave the bank. The various features/factors regarding the details of the customers are scrutinized to increase the precision of the predicition.

Last synced: 07 Jun 2026

https://github.com/parthnagarkar875/image-classifier-using-deep-learning

Used a Convolutional Neural Network to classify the animal in the image as a dog or a cat.

Last synced: 30 Jul 2025