DataBeats

• Description: The DataBeats project is a web application developed using HTML, CSS, JavaScript, Ajax, Jinja templating, Django MVT architecture, and integration with machine learning models for diabetes prediction. It includes features such as user account management, Google reCAPTCHA v2 for security, and Swiper.js for interactive elements. The project utilizes a local SQLite database for data storage and is deployed on Heroku with Gunicorn, Whitenoise, and also on AWS EC2.

• Project Overview:

  • Develop a web application with user account management, including login, signup, and forget password functionalities.
  • Implement Google reCAPTCHA v2 for enhanced security.
  • Create pages such as index, contact, about, login, signup, forget password, and quiz with 20+ questions.
  • Integrate a machine learning model provided by the client for diabetes prediction and analysis.
  • Utilize Swiper.js for interactive elements and enhanced user experience.
  • Deploy the application on Heroku and AWS EC2 using Gunicorn and Whitenoise for optimal performance.

• Technologies Used:

  • HTML
  • CSS
  • JavaScript
  • Ajax
  • Jinja
  • Django
  • SQLite
  • ML model integration
  • Google reCAPTCHA
  • Swiper.js
  • Heroku
  • AWS EC2
  • Gunicorn
  • Whitenoise

• Role: Full-Stack Developer

• Client Requirement:

  • Develop a web application with user account management, Google reCAPTCHA for security, and integration with a machine learning model for diabetes prediction.
  • Include interactive elements using Swiper.js for enhanced user experience.

Live project demo and proof of work is available on request!