
Revolutionary AI-powered health risk assessment system that predicts patient health risks using machine learning algorithms. Perfect final year project combining Python, Flask, and scikit-learn for computer science students.
Python | Flask | scikit-learn | HTML5 | CSS3 | JavaScript | Bootstrap 5 | Plotly.js | Pandas | NumPy | Machine Learning
Transform healthcare with this cutting-edge final year project that combines artificial intelligence and machine learning to revolutionize patient care. This unique project for final year students demonstrates advanced Python programming skills and real-world healthcare applications.
The Health Risk Detection System is an intelligent web application that analyzes patient vital signs using sophisticated machine learning algorithms. With 97% accuracy, this system categorizes health risks as Low, Medium, or High, making it one of the best Python projects for computer science students.
This project showcases professional software development practices with:
This unique project for final year students covers multiple computer science domains:
The core AI system processes 8 critical health parameters:
Add any of these professional upgrades to save time and impress your evaluators.
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
1-hour live session to explain logic, flow, database design, and key features.
Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.
Fully customized to match your college format, guidelines, and submission standards.
Need feature changes, UI updates, or new features added?
Charges vary based on complexity.
We'll review your request and provide a clear quote before starting work.