The problem PosMate solves

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• "Are you sure you are sitting in a correct posture right now when you are looking at your desktop screen reading this problem statement?" No, right?

• "With the underlying Pandemic at place, Programmers/Students/working professionals are spending more Time with there laptop, working out day and night!"

"The wrong Posture of Sitting with Minimal Breaks In this Digital Era with Average Screen-time More than 5 hours, are deteriorating Life quality Standards by leading to problems related to Spinal cord, gastrology, weakening of eyesight and many more consequences which eventually affects the work-life which we were onto”

Our Hack / What it does!

A Robust AI-Driven System (Web App) That Monitors :

• Posture (7 Body KeyPoints)
• Relative Distance from Display

Which Notifies User when his/her Posture or Relative Distance is Wrong with a Suggestion on how to improve it!
Using

• CNN And ANN Model
• Tensorflow.js/ Movenet3.0 with Client Side Rendering.

Algorithm / How we Build it!

Challenges we ran into

Detecting Body Coordinate with Computer-Vision Efficiently.

• 7 Body Keypoints Detection with Movenet3.0 CNN Model with 30-40fps frame rates.

Classification of Each Sample with More Accuracy in different Environments.

• Artificial neural networks for Posture classification

Effective Alerts about Wrong Posture.

• Smart Sound Alerts with text Notifications.

Making It Easier For Diverse User, to Use Our App!

• Minimalist UI/UX

Server-Load & Data Breach/Consumption Problem.

• Client-Side AI rendering which reduces server load Drastically with no Data Going Over Server.

What we Learned:

• Deploying AI model at Client-Side with Tensorflow.js
• Artificial Neural Network Classification & Convolutional Neural Network
• Automated Data Collection & Labeling with Google Forms

What Next:

• Scaling the Web-app to Chrome Extension.
• Automated Exercise Guidance Model.
• Monitoring Screen Time for Better Suggestions.