---
title: Sakhii
emoji: 📚
colorFrom: pink
colorTo: yellow
sdk: docker
app_port: 7860
app_file: app.py
pinned: false
---

# Project Sakhii

**PCOS Prediction System using ML, Docker, and FastAPI**

Sakhii is a PCOS prediction system that uses machine learning models to predict the presence of Polycystic Ovary Syndrome (PCOS) based on key medical and demographic features. The system is built using a Logistic Regression model and deployed with Docker, accessible through a FastAPI-powered web service.

## Features
- Predicts PCOS presence based on various medical and demographic inputs
- Utilizes a pre-trained Logistic Regression model
- Deployed with Docker and FastAPI

## Technologies Used
- Machine Learning (ML)
- Docker
- FastAPI
- Python

## Setup and Usage

1. Clone the repository:
    ```bash
    git clone https://huggingface.co/spaces/appledog00/Project-Sakhii
    ```

2. Install the dependencies (inside the Docker container):
    ```bash
    docker-compose up --build
    ```

3. Access the app at `https://appledog00-Project-Sakhii.hf.space`