Inspiration
We were inspired by how common poor posture is among students and wanted to build a simple tool that promotes healthier habits in real time.
What it does
Detects good vs. bad posture using a webcam and alerts the user with visual and audio feedback when bad posture is detected.
How we built it
We trained a model using Google Teachable Machine and integrated it into a web app using HTML, CSS, and JavaScript with real-time webcam input and predictions.
Challenges we ran into
Handling real-time predictions, integrating the model, and ensuring reliable audio alerts without repeated triggering.
Accomplishments that we're proud of
Successfully built a working real-time posture detection system with both visual and audio feedback.
What we learned
How to train and deploy a machine learning model in a web app and handle real-time user input and feedback.
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