🧠 Thyroid Disease Prediction System

A Flask web application that predicts whether a patient has a thyroid disorder using machine learning.

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🚀 Project Demo

🔗 [Coming Soon on Render.com Deployment!]

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📋 Project Overview

This project uses machine learning models trained on thyroid disease datasets to predict if a person is suffering from:

• Hyperthyroidism
• Hypothyroidism
• Normal (No Thyroid Issues)

We trained the model using RandomForestClassifier and deployed it using Flask and Gunicorn!

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📦 Folder Structure

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🛠️ Technologies Used

• Python 3.10
• Flask
• scikit-learn
• pandas
• numpy
• pickle
• Gunicorn (for production)
• Render.com (for deployment)

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📈 Model Building Process

• Data Cleaning
• EDA (Exploratory Data Analysis)
• Feature Engineering
• Model Training
• Hyperparameter Tuning (Grid Search)
• Model Serialization (pickle)

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📜 Installation Guide

1. Clone the Repository

git clone https://github.com/your-username/thyroid-prediction-system.git
cd thyroid-prediction-system

2. Create Virtual Environment

python -m venv my_env
.\my_env\Scripts\activate   # Windows
# source my_env/bin/activate   # Linux/Mac

3. Install Dependencies

pip install -r requirements.txt

4. Run Locally

python main.py

⚙️ Deployment Guide (Render.com)

• Push your code to GitHub.
• Create a new Web Service on Render.
• Connect your GitHub repository.
• Build Command:

pip install -r requirements.txt

• Start Command:

gunicorn main:app

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⭐ Show your support

If you like this project, kindly ⭐ the repo to support me!