Contact person: Business Client

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Location: Kozhikode, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a lean proof-of-concept that flags sleep-apnea events in children under ten by streaming SpO₂, ECG, and snoring audio from a wearable device. Everything will run in Python.

Here’s the help I need:
• A compact Region-based CNN that ingests the three synchronized signals and returns per-window apnea probabilities.
• Lightweight, real-time preprocessing for SpO₂, ECG, and audio (basic filtering, resampling, and normalization only—no heavyweight feature engineering).
• Simple publishing code that pushes a mobile-app notification the moment an apnea episode is detected (Firebase Cloud Messaging or any equally light SDK is fine).
• The publicly available single-subject datasets you train on, plus direct links so I can review or replicate your work.
• Well-commented source code with brief inline explanations and a short README describing setup, model architecture, and how to run an end-to-end demo.
I want all the codes which u have used(each and very small code)
Keep the solution minimal so it runs comfortably on modest hardware; I’m looking for a functional prototype, not a production-grade suite." (client-provided description)