Fully autonomous and intelligent platform to detect, monitor and manage potholes issues. An end-to-end system with a PWA front-end for users to report potholes and government authorities to track and manage them.

Investigate the impact of general news headlines on Stock Indices

Use NLP & Sentiment analysis in Python to determine the impact sentiment has on the price of Bitcoin

A tweet sentiment analysis app using Node.js and vanilla JS.

this repo contains files for my analysis on disney land visitor reviews using NLP

In an era marked by global security challenges, the "TAFRAS" emerges as a cutting-edge solution to tackle the ever-evolving threat of terrorism. The project is grounded in the urgent need for predictive systems that can anticipate, assess, and mitigate potential terrorist activities.

Analyze reddit financial data and display it on web app.

This modelling analysis pertains on the joint use of lexicon-based Natural Language Processing and Time-Series Analysis to elucidate the mathematical models that aim to analyze the product offerings of Sunshine company. The analysis tried to identify, describe, and support their market offerings in Amazon through mathematical data patterns.

This program aims to give a sentiment score to each headline featured in today's top stories. Eventually it aims to gather insights about the top headlines being reported.

End-to-end Youtube data analysis project using Youtube Data API, MySQL, AWS, Flask

Welcome to the Repsonsive Website for GMO repository. This project provides detailed insights into genetically modified organisms (GMOs) and the role of the Genetic Engineering Appraisal Committee (GEAC) in regulating these organisms.

Using BeautifulSoup to analyze HTML and NLTK VADER to do sentiment analysis on news headlines

This project implements sentiment analysis on restaurant reviews using TextBlob and VADER to classify customer feedback as positive or negative. By comparing model performances, it identifies the most effective approach for sentiment evaluation, offering actionable insights to enhance customer experience and optimize business strategies.

A simple web app to classify the sentiment of a person conveyed through speech as positive, negative or neutral through a machine learning approach.

SentimentIQ is a powerful sentiment analysis tool designed to monitor and analyze user opinions on Reddit. Leveraging natural language processing (NLP), SentimentIQ collects and processes data from Reddit posts and comments, providing real-time insights into the sentiment around specific brands, products, or topics.

🐦 Sentiment analysis on tweets

WEB based sentiment analyzer which predicts positive, neutral and negative emotion sentence and creates a MySQL database to store the result using FLASK, PYTHON, VADER, JAVASCRIPT, BOOTSTRAP, JAVASCRIPT.

Daily-Quotes - A sentiment-based Quoting Web Application