This paper addresses the critical issue of safeguarding Internet of Things (IoT) devices from two significant threats: Botnet attacks and Distributed Denial of Service (DDoS) attacks. These malicious activities can disrupt the functionality of our devices and compromise their security. Our innovative solution employs advanced monitoring techniques to constantly observe network behaviour. By learning from normal patterns, it swiftly identifies anomalies indicative of Botnet or DDoS attacks, enabling prompt intervention. Moreover, our system continuously adapts and evolves to counter emerging threats effectively. Through rigorous testing across various environments, we have demonstrated the robustness and reliability of our approach. Ultimately, this project contributes to enhancing the security posture of IoT ecosystems, ensuring a safer digital environment for all users.