Cardiac Disease Prediction Using Machine Learning

👨‍💻 Team Members

Name	Roll Number
Manav Rohilla	2100290100006
Sukriti Rai	2100290100169
Parkhi Gupta	2100290100112

---

🚀 Project Overview

This project aims for early detection and accurate prediction of cardiac diseases, this can significantly improve patient outcomes by allowing timely intervention and treatment. The hypothesis is that specific patterns and characteristics in the shape of the heart, as visualized through medical imaging techniques, may be indicative of underlying cardiac conditions and can be utilized as a predictive tool.

---

⚙️ Steps to Execute the Project

1. Clone this repository and navigate to the project root directory.
2. Go to the Source Code folder.
3. Download the dataset from https://www.kaggle.com/datasets/xiaoweixumedicalai/imagechd
4. Runs the GLCM, HOG and LBP files for feature extraction from the Feature Extraction folder.
5. Train and Test the features extracted for prediction of cardiac disease from the Models folder.

---

✅ Project Checklist

Task	Status
Final Project Report	✅ Done
Certificate VII Semester (Dated: December 2024)	✅ Done
Certificate VIII Semester (Dated: May 2025)	✅ Done
Synopsis	✅ Done
Final Presentation	✅ Done
Source Code	✅ Done
Database Dump (.sql file)	❌ Not Needed
Docker File (For Web Deployment)	❌ Not Needed
README File	✅ You're reading it!

---