Hack the Senses
From Vision & Sound to AI
NO BLACK BOXES
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EPSRC
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ELEVENLABS
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UCL
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LONDON AI CAMPUS
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Neurogears
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Sponsored by
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NO BLACK BOXES * EPSRC * ELEVENLABS * UCL * LONDON AI CAMPUS * Neurogears * Sponsored by *
Two AI hackathons for Year 11–13 in London
FREE - Limited Spaces Available - Prizes
1. SOUND
- 14 March 2026 -
The Build: Learn about sound and audio devices and build your own speaker and audio circuit.
The AI: learn about the incredible audio features of ElevenLabs to give your robot creation a human voice, maybe yours!
The Result. Program your Raspberry Pi robot to listen and talk to you about whatever you want.
2. VISION
- 21 March 2026 -
The Build: Learn about what images are, how cameras actually see, and build your own video-streaming circuit.
The AI: learn about object detection and face tracking. using tools like Mediapipe and YOLO software.
The Result. Program your Raspberry Pi robot to see you, follow gestures, and recognise objects.
No experience required: just curiosity. Come solo or with a friend, leave with something you didn’t think you could build and learn!
PRIZES from ElevenLabs
Thanks to Elevenlabs, you will receive professional-grade AI tools to help you keep building even after the hackathon.
PARTICIPATION PRICE:
3 months Creator tier ($66 value)
WINNING TEAM:
3 months Pro tier ($297 value)
BEST PROJECT:
6 months Scale tier ($1980 value)
SCHEDULE & LOGISTICS
Dates:
Saturday, 14 & 21 March 2026
You can choose:
- Session A (11:00am –1:30pm) or
- Session B (2:00pm –4:30pm)
Location:
London AI Campus
(Charrington St, London NW1 1RD)
Just a short walk from Euston & King’s Cross.
WHY ATTEND?
Boost your university personal statement: Stand out by showcasing hands-on experience building AI-integrated hardware at a hackathon supported by UCL and EPSRC.
Industry and Academia insider access: Network with and learn from world-class mentors from No Black Boxes, Neurogears, UCL and the London AI Campus.
Master Future-Proof Skills: Gets your hands dirty with:
Hardware: Raspberry Pi, audio circuits, and camera sensors.
Coding: Python fundamentals and OpenCV libraries.
AI Models: Industry-standard tools including ElevenLabs (Speech), YOLO (Object Detection), and Mediapipe (Computer Vision).
