SkinSift is a cutting-edge skincare application that empowers users to make informed and confident skincare decisions. By combining advanced OCR technology with personalized recommendations, SkinSift simplifies ingredient analysis and provides tailored product suggestions based on individual skin needs. With a focus on user experience, transparency, and safety, SkinSift bridges the gap between skincare knowledge and everyday consumers, helping users achieve healthier, more radiant skin.
| Main Features | Description |
|---|---|
| Product Composition Scanner | Scan product labels to reveal the full list of ingredients. |
| Product Ingredients Insights | Provides detailed information about the functions and benefits of each ingredient. |
| Product Recommendations | Get personalized product suggestions tailored to your skin needs and preferences. |
| Dangerous Product Alerts | Notifies users of products without BPOM approval or containing harmful ingredients. |
| Personalized Guidance | Access detailed skincare routines and news updates for effective skincare practices. |
| ID | Name | Learning Path |
|---|---|---|
| M180B4KY1358 | Faiq Varian Gamal Hasan | Machine Learning |
| M013BSX0041 | Juni Artha Tambunan | Machine Learning |
| M014BSX0042 | Ni Kadek Dwita Putri Suastini | Machine Learning |
| C014B4KY4064 | Sang Kompiang Raynor Prabandana Kengetan | Cloud Computing |
| C420B4KX0100 | Adinda Lutfiatul Faridah | Cloud Computing |
| A014B4KX1822 | I Gusti Ayu Krisna Kusuma Dewi | Mobile Development |
- Tech Stack: TensorFlow, Pandas, NumPy, and Keras
- Model Repository: Contains trained models for ingredient recognition and recommendations.
- Tech Stack: FastAPI, JWT, and Cloud SQL.
- API App Repository: Handles authentification, dictionary features, notes features, and setting accounts.
- API ML Repository: Handles product scanning and product recommendations.
- Tech Stack: Android Studio (Level 24), Kotlin, Android Jetpack Compose, Retrofit, Koin, OkHttp3, and Gson.
- App Repository: Source code for the SkinSift Android app.
Email us at: skinsift@gmail.com
