CS60-RE59 :: Food Tracker
โมบายแอปพลิเคชันเพื่อคำนวนแคลอรี่และรักษาสุขภาพ
details
Food Tracker is a mobile application which utilize machine learning technology to detect food dish and summarize total calories per serving. It will predict food dish and average calories from photo. User can take a photo by camera or browse it from phone library. This application also has a history function which will allow user to view previous prediction. Overall, this application are suitable for person who seek to balancing their own calories and improve eating habit.
tools & techniques
Mobile Application:
- Flutter
Graphic
- Adobe XD
- Figma
Model Development:
- TensorFlow
- CNN
- Pre-trained model: https://tfhub.dev/google/imagenet/inception_v3/classification/4
Deployment:
- Using Docker container to deploy model as a web service.
- Sending API request to the web service.
- Return predicted class and accuracy.
Tools:
- Visual Studio Code
- Google Colab
- Android Studio
- Docker
- Github
author
Mr.KITTICHOK TECHAYANYONG
รหัสนักศึกษา 60130500241
kittichok.46937@mail.kmutt.ac.thMr.KRIT CHAYANIYAYODHIN
รหัสนักศึกษา 60130500207
krit.cha1998@mail.kmutt.ac.thMr.NATKJORN TRAKUSANGPAISARN
รหัสนักศึกษา 60130500210
natkjorn.t@mail.kmutt.ac.thadvisor
Chakarida Nukoolkit
Worarat Krathu
