The tenacious rise in microplastic contamination across water bodies threatens aquatic ecosystem and human body. Traditional methods for monitoring such pollutions are often limited, sporadic and labor intensive, making them inadequate for timely and scalable environmental response. This proposed model will introduce an IoT-enabled underwater bot specially patented for autonomously detecting, monitoring and analyzing microplastic particles in real-time. The system integrates sensors such as turbidity sensor, optical particle sensor, pH sensor, Ultrasonic sensor, turbidity sensor, UV sensor and temperature sensors. The ESP32 serves as an edge device for real-time data processing. Data is transmitted through GSM or WiFi protocols, secured with AES-256 encryption. This ensures seamless and secure communication between the local server and the system. The underwater robot autonomously performs action by detecting the presence of microplastic in different places in a river or pond. Users can control the robot using a remote control if the autonomous system faces any sensor malfunctions, navigation error or power depletion. The robot can then be safely guided to a predefined recovery point or instructed to resume operations after troubleshooting. The system is powered by a hybrid solution using solar energy and rechargeable batteries, promoting sustainability. By using Ubidots the data will visualize that are collected from the local server. The RoboDriven architecture will offer sustainable, smart, autonomous and a cost-effective solution to monitor microplastic pollution. By combining sensor driven intelligence, autonomous navigation, secured communications and Realtime monitoring, this proposed model enables precise environmental assessment and proactive pollution mitigation.