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Local Chapter Project

ZoiDex: Towards a Digital Biological Cataloguing Tools using Computer Vision

Challenge Start: Feb 1st

ZoiDex: Towards a Digital Biological Cataloguing Tools

This Omdena Local Chapter Challenge runs for 8 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 Sudan Local Chapter.

The problem

There is a significant absence of a comprehensive digital catalog for Sudan’s diverse Biological life forms. This gap has resulted in limited accessibility to reliable information about local species. Inaccuracies or the lack of information can lead to misconceptions, missed conservation opportunities, and inadequate educational resources. Furthermore, there is little to no actionable applications of ecological data, despite the recent modernization & computational breakthroughs.

The goals

1. The goal of ZoiDex is to harness Computer Vision, Knowledge Representation,as well as Augmentation & Retrieval (RAR) techniques to create a robust cataloging system for Sudan’s flora and fauna, eventually serving as a possible prototype for a global system in the near future.

2. Employing advanced AI algorithms & Machine Learning Techniques aimed at detecting, categorizing, and providing accessible and accurate information about Sudan’s various diverse lifeforms.

This system will function akin to an expert guide, offering instant access to comprehensive details about various species through a user-friendly interface.

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

Your Benefits

  • Address a significant real-world problem with your skills
  • Build your project portfolio
  • Access paid projects (as an Omdena Top Talent)
  • Get hired at top organizations

Requirements

  • Good English
  • Suitable for AI/ Data Science beginners but also more senior collaborators
  • Learning mindset

This challenge is hosted with our friends at

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