🚀💰 The best open source personal finance dashboard on GitHub! Unlock rich insights into your spending and transactions using OpenAI and Plaid. 🌐✨ Connect your bank accounts, credit cards, and investment accounts. 📊📈 Fetch balances, browse transactions, and analyze with AI! 🤖🔍 Link to a custom GPT or Twilio SMS & export transactions to CSV

Twitter Scraper to scrape username and user Url. That sends Information in Telegram Channels

Twitter Backed API using Nest framework. - NodeJS - TypeScript - PostgreSQL - Fastify - Swagger - Loggers - Caching

It project created using Node js and it's contain all social media authentication using passport js

A JAVA-MySQL based bot to tweet every day a quote from a stoicism author

Sentiment Analysis is a term that you must have heard if you have been in the Tech field long enough. It is the process of predicting whether a piece of information (i.e. text, most commonly) indicates a positive, negative or neutral sentiment on the topic. In this project, I will go through making a Python program that analyzes the sentiment of…

twitter api example

Telegram Bot to suggest you live/scheduled twitter spaces according to your searched topic

PromoIt is a platform for promoting social campaigns of non-profit organizations and related initiatives. The goal of the system is to increase visibility and support for these causes by connecting businesses, non-profits, and social activists on a single platform.

Analyzing the impact of political rhetoric in social media by creating an end-to-end website by hosting on AWS and by collecting tweets from twitter of 15 POI'S

This bot creates a twitter post for your account and then posts it as scheduled.

🤖 Tweet Tweet with your own Twitterbot

Ensimag 3A - Distributed systems project based on app counting bad words on tweets

sentiment analysis of streaming Twitter tweets data

Analysis of Tweets of Indian Prime Minister.

Python program to fetch all the tweets that contain a particular keyword from twitter.

This program fetches real time tweets from a specific user and uses Sentiment Analysis to classify their tweets into 3 categories: Positive, Negative or Neutral.