AI Tool for Linguistics & Psychometric Assessment of Soft Skills from Meeting Recordings Part. 2

This Omdena Local Chapter Challenge runs for 6 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
Omdena Hyderabad Local Chapter is working on a product that can evaluate meeting recordings and provide quantitative, personalized feedback on the soft skills of each participant along with recommendations to develop their skills throughout their professional journey.
A model for assessing communication skills from audio files and a framework for extracting byte-sized recommendations for various soft skills from online forums have been built as part of past local chapter challenges.
In order to get a holistic perspective of a person’s ability, it is important to consider the other essential soft skills such as interpersonal skills, leadership skills, adaptability, collaboration, empathy, critical thinking, conflict resolution, and time management.
Assessment of the aforementioned soft skills from meeting recordings requires inputs from experts in domains such as linguistics and psychology to identify the different qualifying features that can be extracted from audio signals, mapped to appropriate soft skills, and fed to the machine learning pipeline built in past challenges.
The goals
The deliverables of this challenge include the development of audio-based linguistic and psychometric features specifically tailored for evaluating soft skills. These features will be integrated into a cohesive soft skill assessment pipeline. Additionally, a recommendation pipeline will be built to provide byte-sized recommendations based on the assessment results. These deliverables will provide organizations with valuable tools to objectively evaluate and enhance soft skills within their teams, fostering effective collaboration and achieving better results.
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.
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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