Projects / Local Chapter Challenge

AI Tool for Annotation of Meeting Recordings and Training of ML Models

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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 Hyderabad, India Chapter.

The problem

The Omdena Hyderabad Local Chapter is working on a cutting-edge AI tool for linguistic and psychometric assessment of soft skills from meeting recordings. The goal of this project is to provide personalized and quantitative feedback on the soft skills of each participant in a meeting, along with recommendations for skill development throughout their professional career.

The team has already developed a model for assessing communication skills from audio files and a framework for extracting bite-sized recommendations for various soft skills from online forums. However, to achieve a more comprehensive evaluation of a person’s abilities, it is necessary to take into consideration other important soft skills such as interpersonal skills, leadership skills, adaptability, collaboration, empathy, critical thinking, conflict resolution, and time management.

The assessment of these soft skills from meeting recordings requires the input of experts in linguistics and psychology to identify the key features that can be extracted from audio signals and then map them to the relevant soft skills for integration into the machine learning pipeline.

The goals

  • Enhance the model’s capabilities by incorporating the essential soft skills with input from linguistics and psychology experts
  • Annotate a meeting recordings dataset with ratings for various soft skills
  • Train machine learning models on the annotated dataset to assess the aforementioned soft skills
  • Integrate the assessment pipeline with the recommendation pipeline to create a unified product.

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



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


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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