Request a QuoteBenchmarking a Resume parser with a 70% accuracy rate using Machine Learning
Experts at Agira technologies always start by carefully analysing the existing system and examining the client’s requirements, we decided to build a new application. The new application was architectured focusing on two components; Web-based UI, and the Parsing Engine
Challenges We Faced
The client fully relied on the existing system which parses resumes only in three different formats and quite inefficient.
The HR-XML output of the existing system was in-capable to let the users customize it for their requirement.
The existing system was lagging and highly time-consuming to parse a resume, as the volume of resumes increased.
Inadequacy of the existing system and conventional technology stack to meet the requirements of the rapidly growing company.
Key Features and Solution
Conducted security audits for AWS Cloud as well as on servers
Implementation of the Prerender for ideal AngularJS SEO
We identified the gaps in the requirements and enhanced the web portal functionalities within a minimal time limit
Reduction of third-party dependencies and Deployed an Application in AWS Cloud to minimize the cost without compromising on the performance of the application
Server Setup & Backup
Leverage the caching mechanism to achieve faster loading time
Security Compliance Check
Delivery a seamless application with 24*7 server monitoring and cloud support with patch management for servers
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