MediAI

Where technology meets healthcare

Table of Contents

• Introduction
• Problem Statement
• Overview
• System Overview
• Functional Requirements
  • User Accounts
  • Symptom Checker
  • Medical Records Database
  • Chatbot
• Non-functional Requirements
  • Performance
  • Usability
  • Security
• Implementation Plan
• Scope of Project
• Advantages
• Future Scope
• Team Members
• Conclusion

Introduction

MediAI is a website that uses AI technology to predict diseases based on symptoms and guide patients to the best-suited doctors. The platform also features a database where patients can upload their medical records, which can be accessed by doctors via a QR code scan. This document outlines the software requirements for MediAI.

Problem Statement

The current healthcare system is often plagued by long wait times, misdiagnosis, and poor communication between patients and doctors. MediAI aims to address these issues by providing patients with accurate predictions of their medical conditions, as well as connecting them with doctors who are well-suited to treat their conditions.

Overview

MediAI is a comprehensive healthcare platform that leverages AI technology to improve healthcare outcomes for patients. The system uses predictive analytics to analyze patient data and predict future outcomes, as well as providing a symptom checker, medical records database, and generative chatbot.

System Overview

MediAI is a web-based application built using modern web technologies such as HTML, CSS, JavaScript, and Python. The system utilizes AI algorithms to analyze patient data and provide accurate disease predictions. The medical records database is stored in a secure server, and doctors can access the database via a QR code scan.

Functional Requirements

User Accounts

• Users should be able to create an account.
• Users should be able to log in to their account.

Symptom Checker

• Users should be able to enter symptoms.
• The system should predict diseases based on symptoms.
• The system should suggest doctors based on predicted diseases and user location.

Medical Records Database

• Users should be able to upload their medical records.
• The system should be able to store and retrieve medical records.
• Doctors should be able to access medical records via a QR code scan.

Chatbot

• The system should feature a generative chatbot that can provide helpful information to users.
• The chatbot should be able to answer common questions about symptoms, diseases, and treatments.

Non-functional Requirements

Performance

• The system should be able to handle a large number of users simultaneously without slowing down.
• The response time for the system should be less than 2 seconds.

Usability

• The system should be user-friendly and easy to navigate.
• The user interface should be responsive and work well on all devices.

Security

• The system should be secure and protect user data from unauthorized access.
• The system should utilize encryption and other security measures to protect user data.

Implementation Plan

The implementation plan for MediAI will involve several phases:

1. Design phase: In this phase, the team will work on designing the user interface and system architecture.
2. Development phase: This phase will involve developing the system using modern web technologies.
3. Testing phase: The system will be tested for bugs and errors to ensure it is functioning correctly.
4. Deployment phase: Once testing is complete, the system will be deployed to a production environment.

Scope of Project

The scope of this project includes the development of a comprehensive healthcare platform that leverages AI technology to improve healthcare outcomes for patients. The platform will include a symptom checker, medical records database, generative chatbot, and more.

Advantages

• Provides accurate disease predictions based on symptoms.
• Connects patients with the best-suited doctors.
• Improves communication between patients and doctors.
• Enhances overall healthcare outcomes.

Future Scope

• The platform can be expanded to include more advanced AI algorithms and predictive models.
• The platform can be integrated with wearable devices to collect real-time patient data.
• The platform can be expanded to include telemedicine capabilities.

Team Members

• Gopal Saraf: github.com/GopalSaraf
• Parth Sali: github.com/parthsali
• Riddhi Sabane: github.com/sabaneriddhi
• Mugdha Kulkarni: github.com/mugdha0611
• Diya Oswal: github.com/OzDiya

Conclusion

MediAI is a comprehensive healthcare platform that leverages AI technology to improve healthcare outcomes for patients. The platform includes a symptom checker, medical records database, generative chatbot, and more. The platform is designed to be user-friendly and easy to navigate, while also providing accurate disease predictions and connecting patients with the best-suited doctors. With further development and expansion, MediAI has the potential to revolutionize the healthcare industry.