HealthGuardAI – Intelligent Multi-Disease Prediction and Health Monitoring System

HealthGuardAI is a web-based healthcare decision support system designed to predict and monitor
multiple diseases using machine learning. The project addresses the growing need for early detection of chronic
conditions such as heart disease, diabetes, and lung cancer by allowing users to enter health-related parameters through
a simple interface. The system processes the input data, performs validation and preprocessing, and then generates
predictions with risk scores. Along with these results, it also provides personalized suggestions such as diet guidance,
exercise advice, and precautionary measures. The application is built with Flask, SQLite, SQLAlchemy, Scikit-learn,
Pandas, NumPy, Chart.js, and xhtml2pdf, combining machine learning, database management, and visualization in one
platform.
In addition to disease prediction, the system includes secure user authentication, prediction history, an analytics
dashboard, a BMI calculator, chatbot support, and downloadable PDF reports. These features make the project more
useful than a single-purpose prediction tool because they support continuous health monitoring and user awareness.
The journal records the main ideas, technical environment, analysis, design, implementation, testing, and conclusion of
the project in an organized format.