CASTIQ

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We started CASTIQ after noticing how unorganized and unsafe the audition ecosystem is. While researching forums like Reddit and actor communities, we found repeated complaints about long‑distance travel for auditions, no transparency in shortlisting, nepotism, and even reports of unsafe or uncomfortable audition environments, especially for women and young actors.

These stories made it clear that the casting process needed structure, fairness, and digital transformation.

To solve this, we built CASTIQ: an AI‑powered audition analysis system that evaluates emotions, gaze, speech clarity, and overall performance.
We combined pretrained CV models, audio feature extraction, and a weighted scoring pipeline to create an objective, bias‑free evaluation system.

Along the way, we learned how fragmented the industry is, how to design ethical AI for real human problems, and how to merge video, audio, and scoring logic into one seamless workflow.

Our biggest challenges were handling diverse video quality, ensuring accurate emotion detection, and building a scoring system that feels fair and interpretable. But each challenge pushed us to refine CASTIQ into something meaningful.

CASTIQ aims to make casting safer, faster, transparent, and fair, a small step toward a more organized industry where talent truly gets a chance.