Local Chapter Challenge: Practice Your Skills Developing a Collection of Personal Health Web Apps Using NLP and Computer Vision
  • The Statement

Developing a Collection of Personal Health Web Apps Using NLP and Computer Vision

Challenge Started!

This Omdena Local Chapter Challenge runs for 4 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by the Delhi, India Chapter.

 

The problem

Individuals seeking to improve their health and wellness often use multiple apps to track different aspects of their health, such as exercise, nutrition, and mental health. There is a need for integrated solutions for these apps. we will develop various features like workout planning, meal planning, computer vision-based feedback, and more to provide a unique experience.

 

The goals

The goal of this project is to develop a collection of personal health features that use AI technologies to improve the quality of health management. The collection should include web apps for tracking and improving various aspects of health, such as exercise, nutrition, and mental health.

 

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

 

Read more on how Omdena´s Local Chapters work

 

First Omdena Local Chapter Challenge?

  • Beginner-friendly, but also welcomes experts

  • Education-focused

  • Open-source

  • Duration: 4 to 8 weeks

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