https://github.com/PraneethJain/pentagon-megathon
Psyche-Screener is a tool that emulates an interview screening process, which has the following rounds in it
- Round 1: Using social handles
- Pass 1: Sanity test (Perspective API)
- Pass 2: Social media check (NLTK)
- Round 2: Personality test
- ‘OCEAN’ mapper
- Situation-based Interview
- Puzzles
- Lifestyle Choices
Analyse candidates personality/behaviour using social media analysis, psychometric tests and challenging puzzles.
We built an app, that can be used for personality based classification and qualification criteria for job interviews. The final results are calculated in a model trained with the Naïve Bayes classifier. This app has a basic puzzle based test, which is used for personality classification. The output of this test is sent to the database, where other phases of this virtual interview, based on social media analysis is calculated.
- App Logo
- UI interface
- Welcome Page, Registration Page
- Push data to Realtime firebase
- Questions
- Score Calculation
- Presentation
- Email sending through GCP
- Make a good requirements.txt so that it can be run by testers
- Installation Documentation
This Project Contains a website and app for user interaction. Website is made using vanilla javascript. Website's API key needs to be changed to your firebase server's API key to collect data. For App you need to add google-services.json file to store data to firebase server