predictive-pulse-hypertension-ml - Sell Project
Project Overview
Project DescriptionPredictive Pulse is a machine learning-based web application designed to analyze clinical and lifestyle data to predict hypertension stages and assess cardiovascular risk.The system leverages trained ML models to provide early insights into a user’s blood pressure condition, enabling proactive health management. It considers key parameters such as age, medical history, and lifestyle factors to generate accurate risk predictions.The application is built using Flask, offering a...
Detailed Description
Visual Content & Media
Project Screenshots & Interface
The following screenshots showcase the visual design and user interface of predictive-pulse-hypertension-ml:
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,HTML,CSS.
Live Demo & Interactive Experience
Live Demo URL: https://github.com/payalchougale/predictive-pulse-hypertension-ml
Experience predictive-pulse-hypertension-ml firsthand through the live demo. This interactive demonstration allows you to explore the application's features, test its functionality, and understand its user experience. The live demo showcases the website application's technical capabilities implemented with Python,HTML,CSS and real-world performance, providing a comprehensive understanding of the project's value and potential.
Visual Content Summary
This project includes 1 screenshotno videos plus a live demo, providing comprehensive visual documentation of the website application. The media content demonstrates the project's technical implementation using Python,HTML,CSS and user interface design, showcasing both the visual appeal and functional capabilities of the solution.
Technical Specifications & Architecture
Technology Stack & Implementation
Primary Technologies: Python,HTML,CSS
Technology Count: 3 different technologies integrated
Implementation Complexity: Medium - Moderate integration effort with multi-skill development
Technology Analysis
Common Questions & Use Cases
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 website solutions.
Project Details
Project Type: Website
Listing Type: Sell
Technology Stack: Python,HTML,CSS
What's Included
Source code, All related design work
Complete project documentation and setup instructions are included to help the buyer easily run and extend the project.
Reason for Selling
I developed this project as part of my learning journey in machine learning and web development. Having completed its core functionality, I am now focusing on building new and more advanced projects. I would like to pass this project on to someone who can further develop, deploy, and monetize it.
Technical Architecture
Technology Stack & Architecture
This website project is built using a modern technology stack consisting of Python,HTML,CSS.
Architecture Type: Website - This indicates the project follows modern software architecture patterns.
Technical Complexity: Multi-technology stack requiring integration expertise
Business Context & Market Position
Development Context & Timeline
Project Development Timeline
This project was created on March 22, 2026 and last updated on September 10, 2026. The project has been in development for approximately 5.8 months, representing 175.1871640591 days of development time.
Development Commitment: The project requires 5-10 hours/week of development time, indicating a side project level commitment.
Technical Implementation Effort
Implementation Complexity: Medium - The project uses 3 different technologies (Python,HTML,CSS), requiring moderate integration effort and multi-skill development.
Next Development Phase: <p>The buyer can enhance this project by improving the machine learning model accuracy, integrating a database for storing user data, and deploying it as a live web application. It can be expanded into a SaaS product for healthcare monitoring, integrated with real-time health data APIs, or customized for use by clinics, fitness platforms, or health startups.</p>
Competitive Analysis & Market Position
Market Differentiation
Technology Advantage: This project leverages Python,HTML,CSS to create a unique solution in the website space. The technology stack provides cutting-edge technical implementation that sets it apart from traditional solutions.
Competitive Advantages
- Modern Technology Stack: Python,HTML,CSS provides scalability, maintainability, and future-proofing
Pricing Information
Offer Price: $40 USD
Project Metrics
Average Monthly Visitors: Pre-launch
Average Monthly Revenue: Pre-revenue
Average Monthly Downloads: Pre-launch / New project
About the Creator
Developer: User ID 222136
Project Links
Live Demo: https://github.com/payalchougale/predictive-pulse-hypertension-ml
Key Features
- Built with modern technologies: Python,HTML,CSS
- Listed for sale
Frequently Asked Questions
What is this project about?
predictive-pulse-hypertension-ml is a website project that Project DescriptionPredictive Pulse is a machine learning-based web application designed to analyze clinical and lifestyle data to predict hypertension stages and assess cardiovascular risk.The system....
How much does this project cost?
This project is listed for sale at $negotiable USD. There's also an offer price of $40 USD.
What's included when I buy this project?
Source code, All related design work.
Why is the owner selling this project?
I developed this project as part of my learning journey in machine learning and web development. Having completed its core functionality, I am now focusing on building new and more advanced projects. I would like to pass this project on to someone who can further develop, deploy, and monetize it.
What technologies does this project use?
This project is built with Python,HTML,CSS. These technologies were chosen for their suitability to the project's requirements and the developer's expertise.
What are the project's current metrics?
Monthly visitors: Pre-launch. Monthly revenue: Pre-revenue.
Can I see a live demo of this project?
Yes! You can view the live demo at https://github.com/payalchougale/predictive-pulse-hypertension-ml. This will give you a better understanding of the project's functionality and user experience.
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.