In today's data-driven world, organizations rely on timely insights from their data to make informed decisions. However, monitoring and managing alerts generated from various data sources can be a challenging task, often requiring manual intervention and constant monitoring.

The need arises for an efficient system that automates the process of alert management, enabling users to schedule and execute SQL queries on specified intervals and receive notifications seamlessly. This system should not only streamline the alert handling process but also provide flexibility in delivering the results based on the volume of data returned.

• Design and implement a Python-based solution to automate alert management.

• Integrate with SQL database to retrieve alert details and execute queries.

• Develop a Telegram bot for seamless notification delivery to users.

• Implement dynamic message formatting based on query result size (text, image, or file).