Patient Management and Video Conference App

Overview

This project is a comprehensive patient management and video conference application designed to facilitate secure and efficient communication between doctors and patients. It includes several key features such as Firebase authentication for user privacy, a live video conference system, 24/7 medical assistant powered by ChatGPT API, and a one-minute disease prediction checkup using machine learning.

Features

• Secure Sign-Up and Login: Developed a user-friendly sign-up and login page using Firebase authentication to ensure data privacy and user account protection.
• Patient Management: Allows doctors to manage patient information and appointments effectively.
• Video Conferencing: Enables real-time video communication between doctors and patients.
• 24/7 Medical Assistant: Integrated ChatGPT API to provide round-the-clock medical assistance.
• Disease Prediction: One-minute checkup tool that predicts diseases based on 28 yes/no questions using machine learning.

Technologies Used

• Flutter: For building the cross-platform mobile application.
• Firebase: Used for authentication, real-time database, and cloud storage.
• Machine Learning: Implemented for disease prediction feature.
• ChatGPT API: Integrated to provide a 24/7 medical assistant service.

Getting Started

Prerequisites

• Flutter SDK
• Firebase Account
• API Key for ChatGPT

View Pandas Profiling (https://lalithakre.github.io/Data-Visualization-of-ML-Model)