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The rise of the Internet has set the stage for a cashless society, facilitating digital transactions. The onset of the COVID-19 pandemic disrupted traditional cash handling methods, prompting a shift towards contactless digital payments. Internet of Things (IoT) technology takes digital payments to the next level, enabling devices to offer goods and services without human interaction. This system involves a pre-installed mobile app scanning a QR code on a vending machine, accessing a web-based virtual machine, allowing users to choose items, initiating digital payments through an IoT gateway, and dispensing tea or coffee upon successful RFID-based payment. This paper presents the design and development of a cost-effective mini tea and coffee machine, aiming to meet the specific needs of consumers, particularly in small-scale sectors. The project focuses on providing consumers with options to choose their preferred tea or coffee type and select a suitable water reservoir, such as a 1-liter mineral water bottle, advancing beyond existing machines in the market for small-scale organizations, industries, and offices. In a fast-paced world, where time is of the essence, this mini machine offers a solution for those seeking a quick and high-quality beverage experience. This project encompasses the entire product development process, from concept ideation to final prototype. The project titled "Designing & Developing of Low-Cost Beverages Machine using AI-ML concepts" introduces a novel approach to beverage preparation. This innovative system leverage AI & ML technologies for creating an affordable, compact tea and coffee machine that caters to individual preferences. The mini machine offers a user-friendly interface, allowing users to customize their beverages based on taste, strength, and other parameters. By employing AI and ML algorithms, the system learns and adapts to user preferences over time, delivering a tailored experience with each cup of tea or coffee. This project not only demonstrates the potential for technology to enhance convenience but also highlights the integration of AI and ML in everyday appliances. In summary, the project showcases a forward-looking concept that brings automation and personalization to the realm of beverage preparation, all at a low cost. It exemplifies the influence of AI and ML in redefining user experiences and convenience, hinting at a future where smart, affordable appliances cater to individual tastes and preferences. [ABSTRACT FROM AUTHOR]