⚠️ This is the personal development version of SkinSense by Claude Kamgna.
The official project is now maintained under the organization repository:
👉 ksu-hmi/SkinSense
This version of SkinSense was originally developed as a starting point for the project. It contains early ideas, testing files, and initial structure used during the planning and setup phase.
It now serves as a backup and reference copy separate from the official organizational repo.
SkinSense is a personalized skincare tracker and ingredient guide. The goal is to help users:
- Track daily skincare routines (AM/PM)
- Learn about ingredients in their products
- Understand how products affect their skin
- Make more informed skincare decisions
- Python
- Markdown
- Streamlit (TBD)
- Possibly CSV/SQLite for tracking
This project is licensed under the MIT License.
To view the active team version of SkinSense, visit:
👉 https://github.com/ksu-hmi/SkinSense