AI-Powered Medical Diagnosis System

Overview

The AI-Powered Medical Diagnosis System is a machine learning-based application built with Streamlit that assists in predicting various diseases, including:

• Diabetes
• Heart Disease
• Parkinson's Disease
• Lung Cancer
• Hypothyroidism

The system utilizes artificial intelligence and data science techniques to analyze patient data and provide diagnostic predictions.

Features

• User-friendly Web Interface: Built using Streamlit for seamless interaction.
• Multi-Disease Prediction: Supports multiple disease classifications.
• Real-time Data Processing: Provides instant predictions based on user inputs.
• Secure & Scalable: Can be expanded with more diseases and functionalities.

Installation

Prerequisites

Ensure you have Python 3.11.0 installed along with Git.

Clone the Repository

git clone https://github.com/Sanjaykumar310/Implementation-of-AI-Powered-Medical-Diagnosis-System.git
cd Implementation-of-AI-Powered-Medical-Diagnosis-System

Install Dependencies

pip install -r requirements.txt

Run the Application

streamlit run app.py

Usage

1. Open the application in your browser.
2. Enter the required medical details.
3. Click the Predict button to get the diagnosis results.

Technologies Used

• Python 3.11.0
• Streamlit (Frontend UI)
• Scikit-Learn, TensorFlow (Machine Learning Models)
• Pandas, NumPy (Data Processing)
• Git & GitHub (Version Control)

Screenshots

Home Page

Prediction Page

Contribution

Feel free to contribute to this project by:

• Forking the repository
• Creating a new branch
• Making necessary changes
• Submitting a pull request

License

This project is licensed under the MIT License.

Contact

For any queries or collaboration, reach out to Sanjay Kumar via GitHub.