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This project demonstrates how to build an automated WhatsApp chatbot using Selenium. It interacts with WhatsApp Web, simulating user actions to send and receive messages, and can be used for automating conversations. The chatbot also incorporates Natural Language Processing (NLP) techniques to understand and respond intelligently to user messages.
The process of automating the download of a PDF from a specific website to a designated folder using Selenium and Python, and then creating a new repository on GitHub to upload the file.
This project demonstrates how to build an automated WhatsApp chatbot using Selenium WebDriver in Python. It interacts with WhatsApp Web, simulating user actions to send and receive messages, and can be used for automating conversations or creating custom bots for various purposes.
Solutions to some leetcode problems
Summarization of bank negotiation documents using a large language model
an interface to display and run projects
Object detection is performed using the YOLO algorithm, and the serial numbers on the objects are read using OCR and matched with the expected serial numbers.
This project involves forecasting the Market Clearing Price (MCP) in the EPİAŞ Day-Ahead Market (DAM) using Long Short-Term Memory (LSTM) networks. The LSTM model is employed to predict future prices based on historical market data, which helps in understanding price trends and making more informed decisions in energy trading.
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