Skip to content

dsvrsec/ai_doctor

 
 

Repository files navigation

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.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 97.9%
  • Python 1.4%
  • Other 0.7%