Python
Android
2010
ID: 1CP0480
Identification of cardiovascular diseases in ECG images through the application of machine learning and deep learning techniques utilizing Python
Keywords:
Cardiovascular
Disease,
ECG
Analysis,
Machine
Learning,
Deep
Learning,
Python,
Medical
Imaging.
Project Synopsis & Overview
This project focuses on identifying cardiovascular diseases by analyzing ECG images using machine learning and deep learning techniques. It leverages Python for image processing, feature extraction, and accurate disease classification.
Complete Technical Specifications
| Project ID | 1CP0480 (DB ID: 480) |
| Project Title | Identification of cardiovascular diseases in ECG images through the application of machine learning and deep learning techniques utilizing Python |
| Domain Division | Python |
| Sub-Domain / Tech | Android |
| IEEE Year | 2010 |
| Package Price | ₹6500 |
| Created Date | Aug 22, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
Need Help or Customization?
Call or WhatsApp our technical lead directly at +91 79043 20834
Related Python Projects
Python
2021
Sales Forecasting for Walmart Using Machine Learning Techniques with Python
Sales
Prediction,
Machine
Learning,
Walmart,
Data
Analysis,
Forecasting,
Business
Intelligence
Python
2021
Detection of Malaria in Python Using Logistic Regression and Convolutional Neural Networks (CNN) with Deep Learning Techniques
Malaria
Detection,
CNN,
Logistic
Regression,
Image
Classification,
Medical
Diagnosis
Python
2010
Forecasting Stock Market Trends Using Machine Learning and Deep Learning Algorithms with Python
Stock
Market,
Machine
Learning,
Deep
Learning,
Prediction,
Data
Analysis
Python
IEEE 2026
A Survey Analysis of Insurance Datasets in E-commerce Utilizing Machine Learning Techniques with Python
Insurance
dataset,
E-commerce,
Machine
Learning,
Customer
analysis,
Prediction