Mirafra Technologies | Top ASIC VLSI SOC Semiconductor Design Services Company | RTL Design, Verification, UVM, Gate Level Simulation, STA, Physical Design, Signoff, Analog Layout, Embedded Software, Enterprise Application, IOT, M2M, Data Analytics, Mobile, Networking, Automotive, Storage, Communications, Infotainment, Linux, Android, RTOS, Kernel, BSP, Porting, Device, Driver, Automotive, Embedded, IoT, Cloud, Analytics, Bigdata, Testing, Networking, Storage, Service

Automatic Extraction of segments

Online recruitment systems or automatic resume processing systems are becoming more popular because it saves time for both employers and job seekers. Manually processing these resumes and fitting to several job specifications is a difficult task.
Due to the increased amount of data, it is a big challenge to effectively analyze each resume based on various parameters like experience, skill set, etc. Processing, extracting information and reviewing these applications automatically would save time and money. Automatic data extraction, focused primarily on skillset, experience and education from a resume. So, it extremely helpful to map the appropriate resume for the right job description. In this research study, we propose a system that uses multi-level classification techniques to automatically extract detailed segment information like skillset, experience and education from resume based on specific parameters. We have achieved state-of-the-art accuracy in the segment of the resumes to identify skill sets