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PulseAI

AI-powered health platform that predicts heart attack risk, provides personalized cardiology advice, and tracks user health trends with secure data handling and advanced analytics.

Code Demo lablab.ai

Core trick

Serves a pre-trained ML risk model through a FastAPI endpoint that scores submitted patient data.

Tags

health

Description

$27
991o2o9/smart-cardiologist★ 402 forksPythonCreated Aug 12, 2025 · last push Aug 24, 2025

README excerpt

# 🫀 Smart Cardiologist

[![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://python.org)
[![FastAPI](https://img.shields.io/badge/FastAPI-0.104.1-green.svg)](https://fastapi.tiangolo.com)
[![License](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Build Status](https://img.shields.io/badge/Build-Passing-brightgreen.svg)](https://github.com)

**Smart Cardiologist** is an intelligent Python service built with **FastAPI** that helps predict heart diseases based on patient medical data. The project leverages a pre-trained machine learning model, AI assistant, and includes a comprehensive user authentication system.

## 🌐 Frontend
**Explore the frontend of Smart Cardiologist**:  
[**Smart Cardiologist Client Repository**](https://github.com/991o2o9/smart-cardiologist-client.git)

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## 🎯 Features

- **Real-time Heart Disease Predictions**: Instant risk assessment using ML models
- **AI Cardio-Assistant**: Get consultations from artificial intelligence (supports both GROQ and GPT providers)
- **Advanced Authentication System**: JWT with refresh tokens for long-term sessions
- **End-to-End Data Encryption**: All medical data encrypted for maximum privacy
- **Analysis History**: Save and view all conducted analyses
- **RESTful API**: Clean and documented endpoints
- **Interactive Documentation**: Auto-generated Swagger/OpenAPI docs
- **CORS Support**: Ready for frontend integration
- **Comprehensive Error Handling**:

Team