DFROBOT

UNIHIKER M10 Python IoT Kit with 2.8" Touch Screen | All-in-One Single Board Computer Bundle with Sensors | 15 Guided AI Lessons & Plug-and-Play Interface | STEM Coding Gift for Beginners

Name: UNIHIKER M10 Python IoT Kit with 2.8" Touch Screen | All-in-One Single Board Computer Bundle with Sensors | 15 Guided AI Lessons & Plug-and-Play Interface | STEM Coding Gift for Beginners
Brand: DFROBOT

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R 6,425

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Description

[STANDALONE PYTHON COMPUTING HUB] Unlike standard kits that require a separate PC or messy wiring, this bundle includes the powerful UNIHIKER M10 Single Board Computer featuring a built-in 2.8-inch touch screen, Wi-Fi, and Bluetooth. It runs a full Linux OS, allowing you to code, debug, and display data charts directly on the device—no external monitor or keyboard required.
[ZERO-FRICTION SETUP FOR BEGINNERS] Forget the hours spent configuring operating systems. Connect to your PC via a single USB cable and start coding in 2 minutes. With integrated Jupyter Notebook support, students can program wirelessly via a browser. It is the perfect frustration-free alternative to complex Raspberry Pi setups for classrooms and coding camps.
[15-LESSON "ZERO TO HERO" CURRICULUM] Master Python through practice, not theory. This kit includes a structured 15-lesson tutorial series guiding users from first "Hello World" to building a Mini Karaoke Box (L07), an AI Access Control & Security Monitor (L12), and a sophisticated AIoT Community Smart Parking System (L15). It transforms abstract code into tangible, interactive reality.
[SOLDERLESS PLUG-AND-PLAY INTERFACE] Say goodbye to breadboards and loose wires. The included hardware pack (including USB Camera, Speaker, Water Pump, and Metal Servo) uses DFRobot’s Gravity Interface. The color-coded, mistake-proof plugs ensure safety, letting students focus on logic and creativity rather than circuit troubleshooting.
[REAL AI & EDGE COMPUTING POWER] Don't limit learning to blinking LEDs. Powered by a Quad-Core CPU, this kit handles real-world tasks. Use the included USB camera for object detection, utilize built-in IoT services (MQTT) to control appliances remotely, or use standard Python libraries (Pandas/Flask) for data science projects.