The problem Event Application Screening Automation solves

Made the recruiting process simpler through automation. There are multiple features provided. Newcomers can create there own profile despite having no prior knowledge of how to build a profile as dropdown lists are provided for most inputs. Here, We have created an algorithm that works in a similar manner to Neural-Networks i.e it has weights that are set dynamically. Thus, results are pretty accurate, and no prior training and collection of databases, thus time is saved.

Features:

• Equipped to Create a resume by providing lists.
• Dynamically Sort applicants resume without using ML.
• Algorithm Works similarly to how a neural network may work.
• Gives ordered list, of most likely to least likely candidate suitable for job-based on given input parameters.

Challenges I ran into

Completing this huge project in span of 24 hours with minimal preparation.