This week, we focused on testing the fully wireless version of TrashDash as part of our final validation phase. While the system remains functionally integrated, we identified power consumption as a major issue, particularly due to the high energy demand of running ML model inference on the onboard hardware. This currently limits stable untethered operation and is our primary bottleneck moving forward. We are exploring potential optimizations and hardware solutions to address this constraint while maintaining system performance. In parallel, I am taking full responsibility for designing and finalizing the demo poster to clearly present our system, results, and key contributions for the final demonstration.