Machine learning pipeline for heart disease prediction with an interactive Streamlit dashboard for real-time risk analysis.

An advanced AI-powered Heart Disease Risk Prediction dashboard built using Machine Learning, Streamlit, and Plotly with modern glass UI.

AI-powered disease outbreak risk prediction system using FastAPI, Random Forest ML model, and a modern interactive dashboard with Chart.js. Includes state/district lookup, water-quality input, risk scoring, predicted disease output, and visual analytics.

Heart disease risk prediction and patient analytics platform built with machine learning. Real-time risk assessment, statistical insights, and clinical intelligence dashboard.

Full-stack cardiovascular disease risk prediction system using a custom ML Decision Tree, Flask API, and React dashboard.

AI‑powered end‑to‑end health risk prediction project combining data preprocessing, machine learning models for multi‑disease prediction, RAG, and interactive Tableau dashboards.

AI-powered precision agriculture platform for plant disease detection using CNN and MobileNetV2 with an interactive Streamlit dashboard for prediction and risk analysis.

🧬 Advanced AI-powered Disease Prediction System 🤖 using Machine Learning & Explainable AI (SHAP/LIME). Predicts risks for Diabetes, Heart, Liver & Kidney diseases 💉. Includes preprocessing, model tuning, web app (Streamlit/Flask) & real-time prediction dashboard 📊

A professional-grade Artificial Neural Network (ANN) binary classifier for heart disease risk prediction. Built with PyTorch and deployed as a real-time Streamlit dashboard featuring precision-recall diagnostics and clinical risk modeling.

A full-stack Flask web application that predicts heart disease risk using machine learning. Includes role-based dashboards for patients and doctors, medical report uploads, and real-time prediction insights.

A clinical risk assessment dashboard that predicts heart disease probability using a Random Forest machine learning model. Built with Streamlit to provide interpretable predictions and a clean medical-style interface.

This project is an interactive **Heart Disease Prediction Dashboard** powered by Machine Learning. It allows users to input medical data (such as age, cholesterol levels, chest pain type, etc.) and receive a real-time risk assessment for heart disease.

Heartlytics is a heart disease risk prediction web app powered by machine learning. It lets users enter patient data for instant predictions, supports batch CSV analysis, provides role-based dashboards, and includes simulations to explore heart health scenarios.

Enterprise Clinical Decision Support System for cardiac disease risk assessment using AI-powered predictive analytics. Built with Streamlit, it provides an interactive dashboard for evaluating patient clinical parameters, delivering data-driven insights and machine learning–based risk predictions to support informed clinical decisions.

Smart ML-based system predicting water-borne disease risk in rural areas. Uses water quality, weather, and health data to classify villages as High, Medium, or Low risk. Flask dashboard allows instant predictions, helping authorities take preventive action and reduce outbreaks effectively.

AI-powered heart disease prediction system that analyzes 918 patients using 6 ML models. The champion Logistic Regression model achieves 89.1% accuracy and 92.2% recall, catching 94 of 102 heart disease cases. Features SHAP explainability and an interactive web dashboard for real-time risk assessment.

AI-powered Clinical Decision Support System for Heart, Diabetes, and Liver disease prediction. Uses Ensemble Learning (XGBoost, SVM, Random Forest ) and SHAP for explainable risk analysis. Features a modern FastAPI backend, interactive web dashboard, and instant PDF report generation for doctors and patient.

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An AI-powered dashboard to detect heart disease risk using Power BI

This project focuses on the Exploratory Data Analysis and dashboard visualization of a heart disease dataset

This project focuses on the Exploratory Data Analysis (EDA) and dashboard visualization of a heart disease dataset to uncover critical health indicators related to cardiovascular risk.

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AI-Powered Disease Risk Prediction Dashboard with 93% ML Accuracy

Machine Learning based health prediction system with authentication, disease risk analysis, dashboards, and reports.

An interpretable machine learning dashboard for early cardiovascular disease risk prediction using real biomedical data.

Longitudinal healthcare risk prediction system for diabetes and cardiovascular disease with clinical decision support dashboard.

Interactive heart disease risk prediction dashboard integrating machine learning within Tableau for real-time clinical simulation.

❤️ AI-powered heart disease risk prediction app using Machine Learning (KNN) with interactive Streamlit dashboard

Alzheimer's Disease Prediction Dashboard built with React.js - featuring patient health input, ML-based risk prediction, PDF report generation and data visualization.