Kishan Ajudiya

• Developed and implemented a proof-of-concept for real-time obstacle avoidance in a robotic lawn mower using the YOLO algorithm. • Deployed the YOLO model on a Raspberry Pi 5 with an integrated camera, enabling real-time segmentation of the lawn area and critical obstacles for safer autonomous navigation. • Optimized YOLO model by converting it to NCNN format, reducing inference time on Raspberry Pi while maintaining high accuracy.

• Optimized fused sensor data by filtering out redundant and non-essential data to streamline inputs for Matrix LED headlight control system. • Simplified and formatted the filtered data for real-time LED dimming adjustments, improving system efficiency in responding to oncoming and preceding vehicles.

• Developed an interactive Power BI dashboard to provide real-time insights into key performance metrics, including revenue, sales quantity, and profit contribution across various markets and customer segments. • Analyzed and visualized revenue trends, profit margins, and market performance, enabling data-driven decision-making for the management team.