Coders Cafe
@CodersCafeTech
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We Build Future.
Joined June 2019
We just launched Viewstats Pro - it’s a bunch of the internal tools we use at mrbeast for data, ideas, thumbnails it’s awesome. RT this tweet and I’ll pick 3 random people to get a free year of Viewstats Pro https://t.co/s4QP0Sg03R
viewstats.com
Viewstats gives you the power of in depth YouTube Channel Statistics. Search any creator, compare performance, see growth trajectories, and much more!
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This proof-of-concept smart #IoT charging station has a web interface to allow #EV owners to login and control vehicle charging. At its core is an #ESP32 and a @buildwithblues Notecard for #cellularIoT connectivity. Find out more and watch the demo: https://t.co/crVf4iYIQK
electromaker.io
Introducing a Blue Wireless-powered Smart Charging Station, offering grid-independent EV charging.
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Blocked pipes can cause expensive problems. Catch them before they cost you with this proof-of-concept #TinyML blockage detection system! https://t.co/Sf9EdLg3JF
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The holiday season might be over, but this #Alexa controlled #ESP32 #Neopixel Christmas tree is the perfect project to add to almost any situation! Find out how it was made: https://t.co/qkRYTrWa6m
electromaker.io
Phone and Alexa Controlled RGB Christmas Tree Lights with WS2811 LEDs and ESP32
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Raspberry Pi FarmGuard uses AI to detect troublesome wildlife and alert farmers https://t.co/B6p2MlJJwz
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This water #conservation prototype uses a mixture of a flow rate sensor and #ai camera to detect both water waste and human presence. If someone is there, it'll give an audio warning. If not, it sends an email! Make your own: https://t.co/OUscPIYCzk
#iot #edgeai #tinyml
electromaker.io
Empowering Students for a Sustainable Future through Real-time Water Monitoring and Wastage Prevention with TinyML and IoT
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TinyML is a new field of machine learning that uses small, low-power devices to perform machine learning tasks. Read this article to learn how TinyML is revolutionizing vision counting for smart industries. https://t.co/GwV44ACKkE
coderscafetech.medium.com
Automated counting is essential in large industries for accurate packing. Presently, either mechanical or weight-based counting is used in…
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FlowGuard is an ESP32-powered water management system, designed to provide real-time insights into consumption patterns using the Arduino IoT Cloud.
hackster.io
Empowering Students for a Sustainable Future through Real-time Water Monitoring and Wastage Prevention with TinyML and IoT
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It's time to meet more Electromaker of the Month winners! There were some amazing projects this time, and it was a hard one for our judges to call. Here are the top three: https://t.co/xMMMAhmMU3
electromaker.io
It's that time once again… Let's find out who are the winners are for this months prizes!
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Meet Emo, an open source personal companion robot with a @Raspberry_Pi brain: https://t.co/MdRmW9B1xo
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10K FOLLOWER GIVEAWAY 🎉🎈🎁 To celebrate 10K followers on Twitter, we're giving away 3x Raspberry Pi Foundation tote bags containing Raspberry Pi branded goodies 😍 Winners will be randomly selected on Friday, 19 May 2023. To enter: Follow us, like & RT this tweet. Good luck!
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What is #TinyML actually good for? Well, #smartagriculture is a perfect example! This project uses a @seeedstudio Wio terminal and a flow sensor to detect when watering pipes are clogged! https://t.co/rS3BDlAaVd
#aiot #iot #smarthome #smartcities #automation
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Find out how to incorporate #tinyml into your prototypes with this #smartfarm project using @EdgeImpulse, a Wio terminal, and a flow sensor. This is a perfect example of #nocode #artificialintelligence in action! https://t.co/HqCbwJpNCa
#aiot #iot #smarthome #smartcities
electromaker.io
Solving a common farming nightmare, and it could even work in buildings!
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This Nano 33 BLE Sense-based solution uses the combination of sensor fusion and tinyML to detect fires: https://t.co/Jd7hrrlcSu
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AI Cart is a smart shopping cart that uses @Raspberry_Pi and @EdgeImpulse object detection to eliminate the need to wait in checkout lines: https://t.co/PUdEc1L1tz
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In this Edge Impulse project, @CodersCafeTech developed a proof of concept for a fire detection system using sensor fusion and machine learning. This combination helps enable more accurate predictions about the presence of flames, compared to single-sensor monitoring.
This Nano 33 BLE Sense-based solution uses the combination of sensor fusion and tinyML to detect fires: https://t.co/Jd7hrrlcSu
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Putting the AI in air writing! See how @CodersCafeTech built a DIY Apple Pencil using Edge Impulse: https://t.co/KmMCLeLPye
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Detect leaks in industrial pipelines using a SAM D51-based @seeedstudio Wio Terminal, a flow rate sensor, and an @EdgeImpulse ML model: https://t.co/IgXsXK27N3
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