With a world driven by keyword detection in resumes in order to get to the recruiter's desk and interviews being more data driven than ever, CaliOrBust provides a platform for students to be on an even playing field and maximize their hiring potential.
CaliOrBust consists of two assessments in order to maximize the hiring potential of Generation XYZ.
With the toolkit of Microsoft Azure's suite of web apps, blob storage, and cognitive services driving the force behind our backend in NodeJS and Angular, we are able to deliver a seamless chatbot user interface for students to prep on technical assessments. CaliOrBust ingests a resume uploaded by the user, parses the file for context specific questions, both programming specific based on the languages defined in their resume, and technical questions catered towards the specificities of their resume. Our smartbot mimicks a real life technical assessment, maximizing value for the user.
Using Voiceflow to build a rapidly deployable and scalable voice application, we are able to provide an organic environment driven by Microsoft Azure's cognitive AI sentiment analysis and keyword detection, we are able to quantitatively derive a score based on the performance of the end users behavioural assessment. Users are given real time feedback based on a context specific score from their oral responses to CaliOrBust's voice application.
Challenges we ran into
- Voiceflow Grouping
- Azure Web Server Deployment
Accomplishments that we're proud of
- Launching a fully comprehensive assessment suite both quantitative and qualitative
What we learned
- First time experience with Azure, and first time using API keys with Voiceflow!
What's next for CaliOrBust
- Further refining our applications to be more context specific and create API keys derived from content scrapped from resumes to create more catered interview experiences