CS63-BU03 :: Postures Corrector And Autograding System For A Telerehabilitation

ระบบช่วยตรวจสอบความถูกต้องของการทำกายภาพบำบัดทางไกล

details
This project introduces a system designed to enhance tele-rehabilitation. We developed a mobile application that utilizes a combination of computer vision, and machine learning to simplify physical therapy for patients and doctors. With our system, patients can perform therapy exercises at home and receive immediate feedback on their mobile devices. The app also shares their progress with doctors, streamlining the process for everyone involved.
tools & techniques
Frontend • Programming language: Dart • Framework: Flutter Back End • Server environment: Node.js • Framework: Express Cloud Service • Storage: AWS S3 • Serverless Service: AWS Lambda • Cloud environment: Google Colaboratory Database • Database: CockroachDB • GUI DB: Prisma Studio AI Tools • Model: TensorFlow Lite • Mobile Embedded Model: Google ML Kit • Serverside Model: MediaPipe Computer Vision • OpenCV Development Software • Visual Studio Code • Postman • Android Studio Project Management Tools • Trello • Discord Other • Version Control: GitHub • User Interface Design: Figma • Media Design: Canva
author
MS.PHICHAYAPHAK PHENGPHAN
รหัสนักศึกษา 63130500220
phichayaphak.spy@mail.kmutt.ac.th
MS.PARISA PRABSIANG
รหัสนักศึกษา 63130500218
parisa.pp10@mail.kmutt.ac.th
MR.TEEPAKORN KAPHOL
รหัสนักศึกษา 63130500244
Teepakorn.kp@mail.kmutt.ac.th
advisor
Chakarida Nukoolkit
Worarat Krathu