Radiology Assistant

Hand gesture tool for radiology image transformation - Final year project

Tech Stacks Used:

• HTML
• CSS
• JavaScript
• Python (Flask)
• MongoDB
• Deep learning model (CNN Model)
• KNN classification algorithm
• Email.js

👇Steps to initialize the project:

• Clone the repository

$ git clone https://github.com/anjupriya-v/radiology-assistant.git

• Redirect to the cloned repo directory

• Open up the terminal and redirect to client directory.

• Install the python requirements

pip install -r requirements.txt

• create the mongoDB account in the mongoDB atlas and create the cluster

• Note: A guide to create the mongoDB account and mongoDB URL https://www.youtube.com/watch?v=oVHQXwkdS6w

• click on connect and select connect your application.

• select python as Driver and select version as per the version that you have installed in your PC and get the MONGO DB url from it

• Then create the database user by clicking the database access from the mongoDB atlas menu and click on Add New Database User. Then provide the username and password and set the built-in role as read and write to any database and click on Add user.

• Replace the DB user name and password in the MongoDB URL.

• Create an .env file in the root directory. Set the key as MONGODB_URL and paste the MongoDB URL that you have copied as the value.

• To create the database, click the database from the mongoDB atlas menu. Then click Browse Collections and click Create Database

• Note: The database should be named as RadiologyAssistant and the collection should be named as Account .

• Create the Secret key typing the following command in the terminal.

python -c 'import os; print(os.urandom(24))';

• Secret key will be generated and set the key as SECRET_KEY and paste the generated secret key as the value.

• Use email.js for sending the contact form data to your email inbox

• Create the email.js account in https://www.emailjs.com/ and paste the service id, template id and user id in /static/js/contact.js

• A guide to Email.js

  https://www.youtube.com/watch?v=dgcYOm8n8ME

• For starting the application, type the following in the new command prompt

flask --app app --debug run

• The app will run on http://127.0.0.1:5000/