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AI-Powered Drive-Thru Automation
I work on integrating AI into drive-thru operations to improve speed of service, customer experience, and sales. The system combines computer vision, real-time vehicle tracking, speech recognition, and POS integration to monitor the drive-thru and provide live operational updates.
The vision system can work with just a 20 FPS camera feed while continuously tracking vehicles and calculating service times in real time. By connecting with the POS and customer order history, the system can also identify returning customers and provide personalized recommendations and upselling suggestions based on their previous purchases.
I’m also working on an AI voice ordering assistant that understands customer requests and connects them with the menu and POS, creating a faster and more personalized ordering experience.
Overall, the project combines AI, computer vision, voice AI, and customer data into a real-time drive-thru solution that helps stores improve efficiency, service speed, and revenue.
@Mohamed Irfan Running vehicle tracking at 20 FPS is a practical constraint. How are you handling noisy drive-thru audio when the voice assistant maps requests to the POS menu?
I handle noisy drive-thru audio using DeepFilterNet for real-time noise reduction, followed by VAD and language identification to accurately detect speech and distinguish between Arabic and English. The cleaned and properly segmented audio is then sent to the STT model, and the...
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One thing that will save you a lot of time: build a small evaluation set early — 50–100 real questions with the document or product that should be retrieved for each. Before tuning prompts, measure retrieval quality (does the right doc surface in the top 3?) with it. Chunk size...
