The escalating accumulation of plastic and metal bottle waste poses a significant threat to the environment, resulting in pollution, disruption of ecosystems, and health risks. Conventional waste disposal methods have proven ineffective in tackling this growing issue. The lack of awareness, inefficient recycling practices, and limited user engagement all contribute to the persistent problem of improper disposal and recycling of plastic and metal bottles. Additionally, existing recycling systems often lack the necessary user motivation and transparency, impeding active participation in recycling initiatives. Users frequently lack incentives to recycle, and waste management authorities struggle to optimize collection and recycling processes due to the absence of real-time monitoring and data-driven insights. Consequently, there is a pressing need for innovative and intelligent solutions that promote responsible recycling behavior among individuals. The proposed solution should employ advanced technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) to accurately identify and authenticate plastic and metal bottles. Additionally, it should feature a user-friendly interface, offering immediate rewards to individuals upon successful recycling. Real-time monitoring capabilities are essential to monitor waste levels in storage tanks, ensuring timely disposal and preventing overflow. To address these challenges, it is imperative to develop an AI and IoT-powered Smart Reverse Vending Machine. This innovative system would be capable of identifying, rewarding, and effectively managing plastic and metal bottle waste. By implementing such a solution, the goal is to establish a sustainable and interactive recycling ecosystem that actively engages users, raises environmental awareness, and contributes significantly to reducing plastic and metal bottle waste in our communities.