International Journal of Scientific Research and Engineering Development

This paper presents an IoT based intelligent shopping trolley designed to assist visually impaired users through voice guided navigation [6],RFID based product section detection [3] and real time obstacle monitoring [18]. The system integrates Raspberry Pi and Arduino to support hands free interaction using speech input ultrasonic sensing and RFID based confirmation.Experimental evaluation shows that the prototype performs reliably in indoor shopping conditions. The system achieved a Voice Command Recognition Accuracy of 93 % [6] an Obstacle Detection Reliability of 93 percent [18] a Section Identification Success Rate of 100 percent [3] and an average Response Latency of 1.2 seconds [21]. These results indicate that the proposed solution can guide users accurately identify sections and provide timely alerts during movement. Overall the findings suggest that the system offers a practical approach to supporting independent shopping for visually impaired individuals