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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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Description

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.

Progress During Hackathon

80

Tech Stack

Next
Python
Node
OpenCV
MediaPipe
Raspberry Pi
MongoDB
React

Fundraising Status

open source

Team LeaderRRupsha Das
Sector
Other
Winner Track
Champion

First

FrostHacks