Squid Game X AI [Red Light, Green Light] | Machine Learning System Design + Computer Vision

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Squid Game AI, Computer Vision, ML System Design, Deep Learning in Real Life!

What if you could recreate the iconic Red Light, Green Light game from Squid Game — but with AI surveillance that instantly detects movement violations?

In this video, I’ll walk you through the complete ML System Design of Red Light, Green Light:
1. Problem formulation for real-time detection
2. Pose estimation & player tracking (MediaPipe + DeepSORT)
3. Hybrid ML + rule-based pipeline for violation detection
4. Functional & non-functional requirements (latency, accuracy, scalability)
5. Offline & online metrics to evaluate system performance
6. Architecture for real-time scaling (100+ players, multiple cameras)

This is not just fun — it’s a goldmine for ML interviews at Google, Meta, Microsoft, Apple. System design with real-world edge cases like occlusion, latency, and scalability is exactly what interviewers want to see.

By the end, you’ll know how to design an AI surveillance system that powers the Squid Game — and use the same principles to ace ML system design interviews.

👉 Watch till the end, because I’ll also share a pro-tip on hybrid ML approaches that keeps your system explainable and production-ready.

📌 If you missed my ML System Design Framework video, check it out here first: [   • Machine Learning System Design [Crack Goog...  ]

Target Companies: Google (L4+), Meta (E4+), Microsoft (61+), Amazon (L5+), Apple (ICT3+)

This Playlist Will Help You:
1. Build strong mental models for system design
2. Prepare for GenAI and ML infra questions in interviews
3. Design ML systems that are scalable, reliable, and fast
4. Crack ML design rounds at MAANG+ level

In the Next Video:
We’ll start the ML System Design Projects — recommendation engines for Spotify - with full frameworks and trade-off thinking.

💬 Comment below if you have questions! Don't forget to LIKE 👍, SHARE 🔄, and SUBSCRIBE 🔔 for more AI projects!

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Playlists that make you skilled up
1. GenAI Agentic AI Course [14+ Agents]:    • Agentic AI Complete Course [14 Projects]  
2. GenAI Full Course with LLM Fine Tuning and Evaluation: https://bit.ly/4bJwZla
3. Learn RAG from scratch with GenAI projects: https://bit.ly/3Zl47KD
4. Latest AI/GenAI Research Papers Explained: https://bit.ly/4huqEMT
5. RAG and LLM Use Cases in Finance Domain Projects: https://bit.ly/3AGSRQm
6. Prompt Engineering: https://bit.ly/42v376M
7. Financial Data Analysis and Financial Modelling: https://bit.ly/3OCWI5O
8. Artificial Intelligence Projects: https://bit.ly/3L8lhEi
9. Predict IPL 2023 Winner (End-to-End Data Science Project): https://bit.ly/3BfC3N9
10. Explainable AI (XAI) Machine Learning: https://bit.ly/3gsuIxb
11. Face Recognition: https://bit.ly/2YphpHm

Let’s upskill toward your dream job — one step at a time.