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ai_doctor's Introduction

ai_doctor and AI Startup based Web app inspired by @Siraj

Resources and Help

deteting whether chest x-ray scan image is having pneumonia disease or not

Functionality

  • signin
  • signout
  • stripe payment
  • prediction

Adding Stripe Payment Functionality

  • use you stripe secret key and public key for payment
  • place your stripe api keys in index.html and user.py file

Model Performance

  • Base Model - Inception V3
  • CNN Based Neural Network Transfer Learning Approach
  • Validation Accuracy - 85%

Tech Stack

  • python 3.6
  • tensorflow 1.5
  • opencv
  • keras
  • flask
  • mysql
  • stripe

Screenshots of Pages

  • Signin Page

Signin Signin1

  • Signup Page

Signin

  • Payment Page

Payment

  • Paid Service Page

Paid Paid1

  • Prediction Page

Prediction

Future TODOS

  • Increase Model Performance
  • Add more AI model related to medical
  • Add Model Version Control System
  • Will Use of Stanford CheXpert, a large dataset that contains 224,316 chest radiographs of 65,240 patients. A labeller to automatically detect the presence of 14 observations in radiology reports, capturing uncertainties inherent in radiograph interpretation.

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