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This project automates the process of fetching current exchange rates for various currencies and cryptocurrencies (USD, BTC, EUR, ETH), converting them to Brazilian Real (BRL), and sending the converted rates as a WhatsApp message using the Twilio API. Ideal for anyone who needs to stay updated with real-time exchange rates and receive notification
An AI assistant for PCs powered by Meta's LLaMA3 using Hugging Face, runs on voice recognition, text-to-speech. Send messages, voice/video calls anyone with one sentence. Automated WhatsApp, YouTube(say "play Faded on youtube")Stores persistent chat history in SQLite. Hotword detection like "Alexa" to start assistant. Type/speak any query to ask it
Repository that automates the creation, deletion, and update of events in Google Calendar with the Google API and sends automatic messages on WhatsApp using the pywhatkit library.
WhatsApp AutoMessenger is your personal assistant for sending timely WhatsApp messages, ensuring your greetings and reminders reach your recipients precisely when they matter most.
This project aims to create a messaging system to manage messages sent via email and WhatsApp, working on them in an asynchronous and scalable way. It also has the functionality to save logs and send personalized messages for each type of subject.
whatpack.py is a Python package that allows you to automate WhatsApp and YouTube tasks in an asynchronous and headless way. It uses asyncpywhatkit and headlesspywhatkit libraries under the hood to provide fast and easy-to-use features. With whatpack.py, you can send messages on WhatsApp without opening the app
The purpose of the repository is to provide an asynchronous Python library with various helpful features for WhatsApp automation and YouTube It’s easy-to-use and does not require you to do any additional setup
Thus I have designed a working application based on sending the message via WhatsApp by using Python libraries namely PyWhatKit for sending the message via WhatsApp, Pandas for accessing the data from the CSV file at which all the student data would be stored and lastly, we use PySimpleGUI to make the interface for this application.