↳SOHAILA MOSBEH                                                                 PROJECT LIBRARY
 
















YA 
TAQIIL


Visual coding - Music production
Origin :  Egyptian                               Language : Arabic  

This project explores the bittersweet and nostalgic experience of falling in love, examining the tension between genuine emotion and the possibility that these feelings might be an oxytocin-driven fantasy. Inspired by the Egyptian Arabic phrase Yataqil, which refers to a flirtatious and self-assured persona, the work investigates how such confidence can blur the lines between authentic connection and romantic illusion.

The emotional complexity of this moment is captured through visuals generated by a machine learning model called Next Frame Prediction. This algorithm analyzes film frames and attempts to predict what comes next, creating fragmented, dreamlike imagery that mirrors the uncertain nature of romantic feelings. The resulting visuals have a distinctive data-moshing quality—where digital information becomes corrupted and reality appears to glitch and distort.

These AI-generated visuals were then integrated into a generative, audio-reactive system with glitch effects, producing a dynamic and immersive environment. The final piece reflects the layered and uncertain nature of romantic feelings through both its visual language and interactive behavior, creating an experience that feels as unstable and captivating as love itself.


image: egyptian actors soad hosny + hussien fahmy 


















Role & Contributions


  1. Creative Direction & Concept: Developed the vision for Yataqil to explore the complexities of love, nostalgia, and Egyptian cultural identity through interactive technology.

  2. Execution: Built the interactive system with motion tracking, generative visuals, and audio-reactive. design using TouchDesigner and machine learning.

  3. Visual & Interaction Design: Created dynamic, responsive visuals triggered by audio and user input.

  4. Audio Design  Production: Collaborated with Kozmor to remix Ya Taqiil by Soud Hossni, integrating it into the immersive experience











A. Study results from the machine learning model , an algorithm that analyzes film frames, studies their patterns, and predicts the next possible frame.

Technical: Visuals

  • Created visuals using a machine learning model, Next Frame Prediction, to analyze film frames and generate the next possible frame, creating a data-moshing effect.

  • Coded the visuals as a generative, audio-reactive system in TouchDesigner, with triggers driven by audio data (kick and snare patterns) and MIDI input.

  • Audio design remixes the 1972 track Ya Taqiil by Soud Hossni, blending nostalgic elements with contemporary  
     





B. The generative pixelated video was activated via MIDI pad, introducing an added live performance layer that responded in real time.




                                                                                                                                                                                                                      




Technical: Audio

  • Echoing the visual design concept, the music production is a remix of the 1972 track Ya Taqil by iconic singer and actress Soad Hosni.

  • Keywords:  Earworm, Spatial, Feedback, and Reverb.

  • Music production by Kozmor







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