Resume Parser

Aims to develop a resume parser using computer vision techniques to analyze and extract information from resumes or CVs. The goal is to convert unstructured resume data into a structured format, such as XML and JSON, making it machine-readable. By doing so, the project intends to facilitate the efficient management of electronic resumes for recruiters, enabling them to extract essential information like contact details, work experience, educational background, and skill sets in an intelligent manner.

Key Challenges

  • Analyse resume or CV data
  • Extract it into machine-readable output such as XML and JSON.
  • Converts an unstructured form of resume data into a structured format

Our Solutions

  • Development of a resume parser
  • Enhanced recruiter efficiency
  • Improved candidate screening

Tech Stack

Conclusion

The project successfully addressed the need for efficient resume management by developing a resume parser using computer vision techniques. By converting unstructured resume data into a structured format, recruiters can now process resumes more effectively, leading to improved candidate screening and selection processes. The system’s ability to extract essential information such as contact details, work experience, education, and skills enhances the overall recruitment workflow.

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Project Overview

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Key Challenges

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Our Solutions

IIFL, a leading financial institution in Asia-Pacific, required a solution to help customers track their income, expenses, and investments effectively. Our team developed an AI-powered mobile app that utilizes intelligent technologies like AI and ML to monitor financial transactions, suggest lucrative investment options, and provide insightful financial guidance.

Tech Stack

Conclusion

In conclusion, SOMPO Insurance has successfully addressed the challenges of providing seamless insurance experiences and supporting both D2C and B2B journeys. Through the development of a comprehensive Customer Web Portal and integration with key services and platforms, SOMPO Insurance has demonstrated its commitment to innovation and customer satisfaction in the insurance industry.

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