Heartscope AI - Sell Project

Project Overview

HeartScope AI – Intelligent ECG Analysis & Heart Health AssistantHeartScope AI is an advanced AI-powered web application designed to analyze ECG images with precision and provide insights into heart health. Built for healthcare professionals, researchers, and health-conscious individuals, HeartScope AI turns raw ECG data into actionable information with ease.Key Features:🖼 ECG Image Upload & Detection: Upload any ECG image and get instant analysis.🧠 AI-Powered Recognition: Automatically...

Detailed Description

HeartScope AI – Intelligent ECG Analysis & Heart Health Assistant

HeartScope AI is an advanced AI-powered web application designed to analyze ECG images with precision and provide insights into heart health. Built for healthcare professionals, researchers, and health-conscious individuals, HeartScope AI turns raw ECG data into actionable information with ease.

Key Features:

  • 🖼 ECG Image Upload & Detection: Upload any ECG image and get instant analysis.
  • 🧠 AI-Powered Recognition: Automatically detects valid ECGs and identifies waveform quality issues.
  • ❤️ Heart Rate Calculation: Calculates accurate heart rate from ECG signals.
  • 🩺 Rhythm Classification: Classifies cardiac rhythms (e.g., normal, bradycardia, tachycardia).
  • 📉 Morphology Analysis: Examines P, QRS, and T waveforms to detect abnormalities.
  • 📊 Waveform Visualization: Visual feedback for better understanding and review.
  • 🧬 Detailed ECG Report: Provides a breakdown of heart activity with potential health flags.
  • 🔒 User-Friendly & Privacy-Focused: Clean UI, secure uploads, and no personal data stored.

Want to see the full video check out the developer Profile : Hamaad ayub khan


Content Freshness & Updates

Project Timeline

Created: April 19, 2025 at 8:11 AM (6 months ago)

Last Updated: November 4, 2025 at 7:43 AM (3 days ago)

Update Status: Updated 3.3492119048495 days ago - Recent updates

Version Information

Current Version: 1.0 (Initial Release)

Development Phase: Production Ready - Market validated and ready for acquisition

Activity Indicators

Project Views: 61 total views - Active engagement

Content Status: Published and publicly available

Content Freshness Summary

This project information was last updated on November 4, 2025 and represents the current state of the project. The content is very fresh and reflects recent developments.

Visual Content & Media

Project Screenshots & Interface

The following screenshots showcase the visual design and user interface of Heartscope AI:

Screenshot 1: Main Dashboard & Primary Interface

This screenshot displays the main dashboard and primary user interface of the application, showing the overall layout, navigation elements, and core functionality. The interface demonstrates the modern design principles and user experience patterns implemented using python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning.

Project Demonstration Videos

The following videos provide visual demonstrations of Heartscope AI in action:

Demo Video 1: Main Functionality Walkthrough

This video demonstrates the main functionality and core features of the application, providing a comprehensive overview of how the system works. The video showcases the saas application's technical implementation using python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning and user interface design, providing viewers with a clear understanding of the project's capabilities and value proposition.

Video URL: https://www.linkedin.com/posts/hamaadayubkhan_healthtech-artificialintelligence-machinelearning-activity-7318632096149782529-okL8?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEWxX00B5bSonEvjYI0d3p3VhM4juRlP7mY

Visual Content Summary

This project includes 1 screenshot and 1 demonstration video, providing comprehensive visual documentation of the saas application. The media content demonstrates the project's technical implementation using python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning and user interface design, showcasing both the visual appeal and functional capabilities of the solution.

Technical Specifications & Architecture

Technology Stack & Implementation

Primary Technologies: python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning

Technology Count: 7 different technologies integrated

Implementation Complexity: High - Multi-technology stack requiring extensive integration expertise

Technology Analysis

python/flask: High-level programming language known for simplicity and versatility
"CSS\/HTML": Modern technology component for enhanced functionality and performance
javascipt: Modern technology component for enhanced functionality and performance
Ai: Modern technology component for enhanced functionality and performance
TensorFlow: Modern technology component for enhanced functionality and performance
OpenCV: Modern technology component for enhanced functionality and performance
deep learning: Modern technology component for enhanced functionality and performance

System Architecture & Design

Architecture Type: Saas Application

Architecture Pattern: Modern Software Architecture with scalable design patterns

Scalability & Performance

Scalability Level: Standard - Scalable architecture ready for growth

Security & Compliance

Security Level: Commercial-grade security for business applications

Security Technologies: Modern security practices and secure coding standards

Data Protection: Standard data protection practices for user information and application data

Integration & API Capabilities

API Technologies: Python API development with robust data processing capabilities

Integration Readiness: Production-ready for business integration and enterprise deployment

Development Environment & Deployment

Deployment Status: Production-ready for immediate deployment

Technical Summary

This saas project demonstrates advanced technical implementation using python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning with production-ready deployment. The technical foundation supports immediate business integration with modern security practices and scalable architecture.

Common Questions & Use Cases

How to Build a saas Project Like This

Technology Stack Required: python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning

Development Approach: Build a scalable software solution with modern architecture patterns and user-centered design.

Step-by-Step Development Guide

  1. Planning Phase: Define requirements, user stories, and technical architecture
  2. Technology Setup: Configure python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning development environment
  3. Core Development: Implement main functionality and user interface
  4. Testing & Optimization: Test performance, security, and user experience
  5. Deployment: Deploy to production with monitoring and analytics
  6. Monetization: Implement revenue streams and business model

Best Practices for saas Development

Technology-Specific Best Practices

python/flask Best Practices: Follow PEP 8 style guide, use virtual environments, implement proper exception handling, and optimize with profiling and caching.
"CSS\/HTML" Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
javascipt Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
Ai Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
TensorFlow Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
OpenCV Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.
deep learning Best Practices: Follow modern development practices, implement proper error handling, use version control effectively, and optimize for performance and security.

General Development Best Practices

  • Code Quality: Write clean, maintainable code with proper documentation
  • Security: Implement authentication, authorization, and data protection
  • Performance: Optimize for speed, scalability, and resource efficiency
  • User Experience: Focus on intuitive design and responsive interfaces
  • Testing: Implement comprehensive testing strategies
  • Deployment: Use CI/CD pipelines and monitoring systems

Use Cases & Practical Applications

Target Audience & Use Cases

Business Use Cases: This project is ideal for businesses looking to implement a ready-made solution. Perfect for entrepreneurs, startups, or established companies seeking saas solutions.

Comparison & Competitive Analysis

Why python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning?

This project uses python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning because:

  • Technology Synergy: The combination of python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning creates a powerful, integrated solution
  • Community Support: Large, active communities for ongoing development and support
  • Future-Proof: Modern technologies with long-term viability and updates

Competitive Advantages

  • Modern Tech Stack: python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning provides competitive technical advantages
  • Ready for Market: Production-ready solution with immediate deployment potential

Learning Resources & Next Steps

Learn python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning

To understand and work with this project, consider learning:

  • python/flask: Python documentation, tutorials, and community resources
  • "CSS\/HTML": Official documentation and community learning resources
  • javascipt: Official documentation and community learning resources
  • Ai: Official documentation and community learning resources
  • TensorFlow: Official documentation and community learning resources
  • OpenCV: Official documentation and community learning resources
  • deep learning: Official documentation and community learning resources

Project Details

Project Type: Saas

Listing Type: Sell

Technology Stack: python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning

What's Included

source_code

Reason for Selling

<p>I am selling this project because I am busy with other things and no longer have time to maintain this project.</p>

Technical Architecture

Technology Stack & Architecture

This saas project is built using a modern technology stack consisting of python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning. The architecture leverages these technologies to create a production-ready solution that can handle real-world usage scenarios.

Architecture Type: Saas - This indicates the project follows modern software architecture patterns.

Technical Complexity: Multi-technology stack requiring integration expertise

Business Context & Market Position

Business Model & Revenue Potential

This project represents a saas business opportunity with established market presence. The project shows strong potential for revenue generation based on its user base and market positioning.

Acquisition Opportunity: <p>I am selling this project because I am busy with other things and no longer have time to maintain this project.</p> This presents an excellent opportunity for acquisition by someone looking to continue development or integrate the technology into their existing business.

Development Context & Timeline

Project Development Timeline

This project was created on April 19, 2025 and last updated on November 4, 2025. The project has been in development for approximately 6.7 months, representing 202.33012626207 days of development time.

Technical Implementation Effort

Implementation Complexity: High - The project uses 7 different technologies (python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning), requiring extensive integration work and cross-technology expertise.

Market Readiness & Maturity

Production Readiness: This project is market-ready and has been validated through real user engagement. The codebase is stable and ready for immediate deployment or further development.

Competitive Analysis & Market Position

Market Differentiation

Technology Advantage: This project leverages python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning to create a unique solution in the saas space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.

Market Opportunity Assessment

Competitive Advantages

  • Proven Market Success: Established user base and revenue stream provide immediate competitive advantage
  • Technical Maturity: Production-ready codebase with real-world testing and optimization
  • Market Validation: User engagement and revenue data prove market demand
  • Modern Technology Stack: python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning provides scalability, maintainability, and future-proofing

Pricing Information

Offer Price: $30 USD

About the Creator

Developer: User ID 158272

Key Features

  • Built with modern technologies: python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning
  • Ready for immediate acquisition

Frequently Asked Questions

What is this project about?

Heartscope AI is a saas project that HeartScope AI – Intelligent ECG Analysis &amp; Heart Health AssistantHeartScope AI is an advanced AI-powered web application designed to analyze ECG images with precision and provide insights into hea....

How much does this project cost?

This project is listed for sale at $minimum USD. There's also an offer price of $30 USD. The price reflects the project's current revenue, user base, and market value.

What's included when I buy this project?

source_code You'll receive everything needed to run and maintain the project.

Why is the owner selling this project?

<p>I am selling this project because I am busy with other things and no longer have time to maintain this project.</p> This is a common reason for selling successful side projects.

What technologies does this project use?

This project is built with python/flask,"CSS\/HTML",javascipt,Ai,TensorFlow,OpenCV,deep learning. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.

How do I contact the project owner?

You can contact the project owner through SideProjectors' messaging system. Click the "Contact" button on the project page to start a conversation about this project.

Is this project still actively maintained?

Since this project is for sale, the current owner may be looking to transfer maintenance responsibilities to the buyer.