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Po-Go (Posture-good) is a machine learning-powered posture correction system designed for real-time ergonomic health monitoring with on-device ML processing, and Wi-Fi/Bluetooth connectivity.

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Python
Node
OpenCV
MediaPipe
Raspberry Pi
MongoDB
React

描述

Po-Go (Posture-good) is a machine learning-powered posture correction system designed for real-time ergonomic health monitoring with on-device ML processing, and Wi-Fi/Bluetooth connectivity. It operates without cloud dependency, ensuring faster, secure, and privacy-focused posture analysis.

Key features:

- Intelligent posture detection using ML-based skeletal tracking for real-time corrections

- Edge processing that eliminates cloud dependency for low-latency analysis

- Multi-mode alerts with IoT speaker alerts and notifications

- Seamless connectivity through Wi-Fi for remote tracking and Bluetooth for localized alerts

Po-Go is not just a posture tracker, it is a next-generation digital wellness companion, engineered to prevent postural fatigue, musculoskeletal issues, and workplace discomfort.

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融资状态

open source
队长
RRupsha Das
项目链接
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