Adaptive Traffic Control
YoLoV5 powered raspberry analyze traffic condition and decide which is the most severed lane. Automatic traffic plan system will redistribute green light to most affected lane, reducing traffic overload in that lane.
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This is where deployments, experiments, and client adrenaline live. Scroll to shuffle the elevator through each build — screens, stacks, and stories included.
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YoLoV5 powered raspberry analyze traffic condition and decide which is the most severed lane. Automatic traffic plan system will redistribute green light to most affected lane, reducing traffic overload in that lane.
With AI Powered CV scan, our service will decide each user capabilities based on their CV content. Then AI will generate smart query to find and scrape thousand of job postings in LinkedIn and Indeed that suit most
Part of full semester MBKM Project. Help coffee farmer straight into their village to make solar dryer based IoT drying system powered by hybrid Photovoltaic system. Reducing coffee drying up to 75% , increasing efficiency of coffee making.
Traffic detection powered by only analog based system, only using laser paired with LDR. Low cost but will notify if there is traffic congestion to the website thanks to IoT system integrated with this traffic notifier. Later this project continued using Computer Vision Model
Curiosity drives invention. Lets work together one day and create something cool with me!
Cataloguing past deployments, realigning copy, and sketching the new storytelling format.
Designing click-through demos that surface firmware flows, dashboards, and production telemetry.
Publishing the yard, then evolving it with every new shipment or weird hardware adventure.
I'm happy to walk you through prototypes or discuss how these systems could plug into your team. Choose a channel below and let's talk shop.