A project by Team funtimeError for the Yantra Hackathon
The project was made for the hackathon's Track #2: QUALITY EDUCATION
The challenge at hand is to devise cutting-edge technological solutions leveraging data analytics,
AI, personalized algorithms, real-time industry monitoring, networking platforms, skill assessment
tools, and online learning resources to empower individuals in education and career transitions.
These solutions should provide personalized career guidance, facilitate skill development,
and bridge the gap between education and industry requirements.
We have solved this problem by creating a web application that implements
our recommendation framework with an emphasis on a clean, simple and hassle-free UI and UX.
Our recommendation framework takes your resume and processes it.
We then display to you 3 to 5 broad domains, of which you can choose one.
You will then be provided with a few sub-domains, and upon choosing one of
your liking, you will be shown a few job roles. You can highlight whichever
role that you prefer and information regarding that role, as well as
training resources for that role shall be displayed.
The prototpye models can be found here and here.
This is an implementation of a Hugging Face model, which is
a Zero Shot Classifier using the transformers library in Python, hosted on
Google Colab. The model is trained on data from Facebook's BERT Large MNLI.
We use this model as a prototype for our Bottom Up Classification Model for
our Stage II plans and test its implementation.