This Twitter Automation Bot was designed to simplify tasks such as scraping follower data, sending direct messages, and automating interactions. The bot can send up to 20 DMs per minute, dynamically slowing down to comply with Twitter's rate limits.

The project showcases advanced use of Python for automation, including error handling, multi-threading, and efficient use of APIs. The bot is designed for command-line interaction, providing flexibility and control for various automation needs.

Overcoming Twitter's strict rate limits while maintaining high-volume interactions required careful planning. The bot needed to handle potential API changes, errors, and ensure thread-safe execution for scalability.

- Designed the architecture using Python classes for modularity and scalability.

- Implemented multi-threading for concurrent actions without exceeding Twitter's limits.

- Added robust error handling and logging for easy debugging and monitoring.

- Integrated Twitter's API to perform actions like scraping followers, sending DMs, and posting tweets automatically.

The bot successfully automated various Twitter tasks, achieving seamless interaction without hitting rate limits. It demonstrated reliable performance, dynamic speed adjustment, and error resilience.

This project highlights my proficiency in Python, automation, and working with APIs. It also demonstrates my ability to develop efficient, scalable, and robust automation solutions for real-world applications.