AI System for Habit Building Using Recipes of Soft Skills

Local Project Hyderabad, India Chapter

Coordinated by the Lead of India, Mohammad Yahiya,

Status: Completed

Project Duration: 24 Sep 2022 - 16 Oct 2022

Open Source resources available from this project

Project background.

We live in the knowledge economy and skills are your card. Some estimates state that 50% of the jobs will be affected due to automation by 2030. Non-routine cognitive skills, often described as “soft skills”, have been increasing in importance since the first industrial revolution. Soft skills have the potential to provide the only long-term competitive advantage in the job market of the future, and open up equal opportunities to culturally-diverse remote employees. At the same time, soft skills are the hardest to learn due to their abstract nature and context-dependency. The traditional coaching platforms are unscalable by design. Online learning marketplaces and MOOCs provide content that does not stick. Self-improvement apps add up to daily distractions and fail to maintain engagement.

The problem.

Calibri is a tech-enabled skill development tool for companies, aimed to help engineers get skills, like self-confidence, self-awareness, empathy, communication, influencing, taking ownership, with the use of technology. Calibri is going to connect all the learning tools & knowledge sources by automatically fetching user’s content, recommendations and insights into Calibri learning pipeline. Then, it will help users act on them in the context of their life through a customizable mix of tools e.g., spaced-out notifications, self-reflection, community Q&As, speed-dating with peers. To put it in more context, we provide one source of truth around soft skills with a repository of resources, definitions and recipes on achieving goals.

Project goals.

  • The challenge would be about scraping ~10 most popular soft-skill resources (e.g., Medium, Twitter, Podcasts/Book summaries, ... the full list needs to be defined during the challenge) or top results in Google search to get aggregated information for a set of key soft-skill problems (e.g., how to be a better communicator, .... the full list needs to be defined during the challenge). After the aggregated information for each problem is collected, the next task would be to combine it into one text eliminating repetitions, providing summaries, and extracting actionable learning items.

Project plan.

  • Week 1

    Understanding the Problem Statement and Data Collection

  • Week 2

    Data Preparation & exploring Pre-Trained models

  • Week 3

    Model Training/Fine Tuning Pre-trained model, Finalizing the Model

  • Week 4

    We will explore other possibilities such as data mining,Text analysis etc.

Learning outcomes.

  • Data Collection(Web scraping)
  • Data Pre-Processing
  • NLP based EDA
  • Time Series Forecasting
  • Sentiment Analysis, Model Building

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