Project Face Quality Analysis

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[Packages List]

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• Python 3.11.3
• Flask 2.3.2
• Werkzeug 2.3.4
• joblib 1.2.0
• pandas 2.0.1
• numpy 1.24.3
• torch 2.0.1
• torchvision 0.15.2
• transforms 0.1
• Pillow 9.5.0
• openpyxl 3.1.2
• urllib3 2.0.2
• shutils 0.1.0
• ssl

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[Environment & Packages Installation]

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1. pip install virtualenv
2. virtualenv skin_app
3. source skin_app/scripts/activate # Activate Virtualenv
4. pip install Flask==2.3.2
5. pip install Werkzeug==2.3.4
6. pip install joblib==1.2.0
7. pip install pandas==2.0.1
8. pip install numpy==1.24.3
9. pip install torch==2.0.1
10. pip install torchvision==0.15.2
11. pip install transforms==0.1
12. pip install Pillow==9.5.0
13. pip install openpyxl==3.1.2
14. pip install shutils==0.1.0
15. pip install urllib3==2.0.2
16. python -m pip install certifi

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[Model of Face Analysis and]

[Skincare Recommendation]

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• model resnet18.pth https://drive.google.com/file/d/1NxYgedIVIrrWW2UtqR03tECHyNYnXL0S/view?usp=drive_link

• Modelling of Face Analysis https://drive.google.com/file/d/1mLE8umVGFtM96mC_tIx7SZSDx-fnlDeb/view?usp=sharing

• Data Medication Recomendation https://drive.google.com/file/d/10xDsn-6QN7RsOLlRZ_t-lQ76DaL8ki4A/view?usp=sharing

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[Tutorial Run Application]

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1. git clone https://github.com/bijoaja/Skin-AI.git

cd Skin-AI

2. Activate virtual env & Packages Installation to your terminal then Enter

pip install virtualenv
virtualenv skin_app
source skin_app/scripts/activate
pip install -r requirements.txt

3. Download model_resnet18.pth and Dataset Recomendation Skincare to your directory

4. You can run App in terminal with code on virtualenv when you activate

python skinApp.py

5. You can close App in terminal with key ctrl+c then run in terminal to out virtualenv

deactivate