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RDK Challenge - 05/22/2026 - Engr. Fahad


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#1 electroniclinic

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Posté 22 mai 2026 - 07:17

Hello everyone,
My name is Engr. Fahad, and I am the creator of Electronic Clinic. I am passionate about electronics, embedded systems, robotics, AI, IoT, and innovative engineering projects. Through my YouTube channel and website, I create practical tutorials, product reviews, AI-powered hardware projects, ESP32 and Arduino-based systems, mmWave sensor projects, LoRa communication systems, robotics, and advanced electronics experiments that help students, makers, engineers, and tech enthusiasts learn modern technologies in a simple and practical way.

I also work on AI-integrated hardware systems using platforms like ESP32, RDK X5, DeepSeek, ElevenLabs, computer vision, voice assistants, and smart automation technologies. My goal is to make advanced engineering and AI concepts accessible to everyone through real-world demonstrations and detailed step-by-step guides.

On my YouTube channel, I regularly publish:
- ESP32 and Arduino projects
- AI and robotics projects
- Sensor testing and reviews
- IoT and automation systems
- LoRa and wireless communication projects
- Smart home technologies
- Embedded systems tutorials
- Product unboxing and performance testing
- Engineering innovation projects

My Recent Video on the RDK X5:



Website:
https://www.electroniclinic.com/


I am excited to participate in the RDK Challenge and showcase innovative AI and embedded hardware solutions using the RDK platform. I will be sharing my project codes with you guys. If you need any help just let me know.

Thank you.

#2 electroniclinic

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Posté 22 mai 2026 - 07:21

Here are some of my RDK X5 AI project videos that may help others better understand the capabilities of the platform, including AI integration, voice assistants, computer vision, and hardware control applications.

#3 electroniclinic

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Posté 22 mai 2026 - 07:21



#4 electroniclinic

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Posté 22 mai 2026 - 07:21



#5 electroniclinic

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Posté 22 mai 2026 - 07:22



#6 electroniclinic

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Posté 22 mai 2026 - 07:22



#7 electroniclinic

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Posté 22 mai 2026 - 07:22



#8 electroniclinic

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Posté 22 mai 2026 - 07:22



#9 electroniclinic

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Posté 22 mai 2026 - 07:22



#10 electroniclinic

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Posté 24 mai 2026 - 10:17

One thing that genuinely impressed me about the RDK X5 is how much AI performance it delivers in such a compact board. The built-in BPU makes a huge difference for real-time AI and computer vision tasks because you can run advanced AI workloads directly on the board without needing extra AI accelerators or complicated hardware setups.

For this project, I used the RDK X5 together with DeepSeek V4 and ElevenLabs to build a real AI assistant capable of:
- Natural voice conversations
- Hardware control using voice commands
- Real-time object detection
- Camera interaction
- Multilingual responses
- AI voice generation and voice cloning

One of the most interesting parts of this project is that I did not hardcode commands like "turn on the light" or "take a picture." Instead, DeepSeek understands the user's intent naturally, which makes the assistant feel much more intelligent and human-like.

Honestly, the RDK X5 made the entire development process much smoother than I expected, especially for AI + vision projects.

I created a full detailed video showing:
- Hardware setup
- GPIO connections
- DeepSeek integration
- ElevenLabs setup
- Object detection
- Voice assistant programming
- Real-world AI testing

If you are participating in the RDK Challenge, I highly recommend watching the video because it may help you understand how to build AI applications on the RDK X5 much faster and give you ideas for your own projects. My main goal with this video is to help other developers and makers in the community.

#11 electroniclinic

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Posté 24 mai 2026 - 10:18

Here is the full video:

#12 electroniclinic

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Posté 24 mai 2026 - 10:35



#13 drobo_community

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Posté 25 mai 2026 - 12:17

Welcome to join the challenge!

#14 electroniclinic

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Posté 07 juin 2026 - 16:19

Hey everyone! :bye:
Just dropped a new video and this one is pretty exciting.
I built a real-time AI fall detection system using the RDK X5 and a MIPI camera - completely on the edge, no cloud, no internet needed.
The moment a person falls... the system detects it instantly and triggers an alarm. :large_red_circle:
What's covered in the video:
-> How AI body keypoint tracking works
-> The "Nuclear Fix" to force keypoints ON
-> Full Python code walkthrough
-> Live real-time demo test

#15 electroniclinic

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Posté 07 juin 2026 - 16:19



#16 drobo_community

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Posté 08 juin 2026 - 04:48

This is a very meaningful project for those who are living alone or the old.

#17 evelyn041059

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Posté 12 juin 2026 - 11:31

Hi Engr. Fahad, have you submitted the application form? https://docs.google....ZHOqN8EEYU/edit

#18 electroniclinic

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Posté 13 juin 2026 - 08:01

ya, exactly, the next versions are even more powerful.

#19 electroniclinic

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Posté 13 juin 2026 - 13:10



#20 drobo_community

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Posté 16 juin 2026 - 09:32

@Electronic Clinic Hello, great work! Could you please submit the work according to the instruction? Thanks! https://github.com/D...ge/tree/develop




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