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siddharthg837

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Utkarsh Seth

Utkarsh Seth

Home » Challenges » Appian World 2021 Hackathon » Screen Smart

Screen Smart

The app is an intelligent pre-screening solution that screens candidates from LinkedIn & other social/public platforms to find the fittest candidates. The app addresses the long hours recruiters put on unwanted/suspicious profiles for the given positions.

Our Inspiration:

Our talent recruitment team is overwhelmed with the higher number of openings, and they have an uphill task of shortlisting suitable candidates for the interview. Recruitment is a manual, time-consuming task where the recruitment & the interviewing team have to spend long hours shortlisting a candidate. On top of that, post-COVID pandemic, our recruitment team found 25% of profiles suspicious or fraud on different sources of data on the internet for each position, hence spending an average of 20+ hours a week on profiles which should ideally be rejected in the first place.

 

Our Solution:

This problem pushed us to think of any possible way to find the best profiles for the interviews in an automated way to find more appropriate talent in a lesser time. At the same time, a way to identify the suspicious profiles early in the screening process.
We developed this application on Appian that empowers the recruitment team to automatically enrich the candidate profile from multiple sources like LinkedIn, Twitter, and GitHub. The data collected is then analyzed intelligently to check if the profile matches the weighted match criteria defined in the application. This way, we get the results that are more suited to our needs.
The application brings the concept of Match Score, which is an easy way for the recruitment team to identify the right profiles for a job. The match score is an intelligently calculated score by the app based on how well the candidate profile matches the established criteria and how much it is cross-validated from multiple other data points. The Match score keeps on changing as more and more data is associated with the profile.
Finally, the applications also allow the recruitment team to perform virtual pre-screening assessment interviews. The application offers easy-to-use configurations for the recruitment team to specify the questions they would like to ask. Usually, these questions are the ones that can elicit more details about the candidate's profile, skill set. This video content is used to verify the skills identified from the unified data of LinkedIn, GitHub, and Twitter. If there is a mismatch of the user photo (for example, the LinkedIn photo does not match the Video assessment photo, etc.). The same is flagged as a suspicious profile.

Technology Stack:

1) Appian - core platform for building the entire application and connecting with multiple other technologies
2) Phantom Buster - for ease of integration with LinkedIn, Twitter, and GitHub.
3) AWS Lambda - to run core extraction/ ingestion logic runs on the scraped data from LinkedIn.
4) AWS S3 - for storing different profile pics, video recordings 
5) AWS Transcribe - converts the video speech into text.
6) AWS Rekoginition - to compare the profile images.
7) AWS Comprehend - for sentiment analysis, entity, and key phrases identification, etc. 
8) AddPipe - provides a ready-to-use platform for live video recording

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  • Concentrates clear nursing work

    BSN illustrating affiliations give careful bearing to sharp articles, which are essential for BSN heading. Students can use these connections to think BSN Writing Services about themselves, express their mastery and personal growth, and connect their experiences to hypothetical ideas. This supports a more central issue of view on their journey in the nursing calling.

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    Personalization is a focal key of BSN making affiliations. These organizations adjust their responsibilities to provide different time frames in light of the diverse requirements and preferences of BSN students. Whether changing in response to various manufacturing styles, planning requirements, or specific substance preferences, customization ensures that each client receives novel and exceptionally tailored assistance.

    Programs like the Expert of Science in Nursing (MSN) and Ace at Nursing Practice (DNP) degrees are explicitly considered by BSN-forming affiliations. These affiliations give individualized assist with completing advanced level papers, assessments, and activities that meet the inflexible essentials of postgraduate nursing programs. This help draws in BSN students as they continued to look for extra course of action inside the field.

    Affiliations formed by BSNs are vital for the spread of assessment achieves the attestation based practice field. These add to ensuring that evaluation is truly given to the more huge nursing region by aiding nursing specialists in the production of novel copies for endeavors. This commitment reestablishes different headways in nursing practice and information.

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