README.md

metadata

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:

   git clone https://huggingface.co/spaces/appledog00/Project-Sakhii
   

2. Install the dependencies (inside the Docker container):

   docker-compose up --build
   

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