Skincare Sage

Skincare Sage is an intelligent skincare advisor that leverages Deep Learning to predict skin parameters such as acne severity and skin type based on a user's image input. Additionally, users can input other skin concerns, and Skincare Sage will provide personalized recommendations for essential skincare products tailored to their needs. Find the trained models in the google drive link down the page!

Features

Image Analysis: Skincare Sage analyzes user-provided images to predict acne severity and skin type.
Personalized Recommendations: Based on the predicted skin parameters and user-inputted concerns, Skincare Sage suggests essential skincare products.
User Interaction: Users can input additional skin concerns to receive more tailored recommendations.
Local Setup: Skincare Sage can be easily set up and run locally on your system for convenient usage.

How to Run Locally

To run Skincare Sage locally on your system, follow these steps:

Prerequisites

Python 3.x installed on your machine.
Pip package manager installed.

Installation

Clone the Skincare Sage repository to your local machine:

git clone https://github.com/tamjid1108/skin.git

Navigate to the project directory:

cd skin

Install the required dependencies:

(Optionally create and run in a virtual environment)

python3 -m venv myenv

Windows:
```
myenv\Scripts\activate
```
macOS/Linux:
```
source myenv/bin/activate
```

pip install -r requirements.txt

Usage

Ensure you have a suitable image of your face for analysis or take one directly in the app.
Run the Skincare Sage script:

streamlit run app.py

Follow the on-screen prompts to upload your image and input any additional skin concerns.
Skincare Sage will provide you with personalized skincare recommendations based on the analysis results.

use._record.mp4

Saved models drive link incase you are not able to download them from the repo!

https://drive.google.com/drive/folders/1wANzrk0qFzbbhjEF0MqJhcKkzaSHiWGd?usp=drive_link

tamjid1108 / skin