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All Cases

AI-Powered Resume Ranking System

Project Info

Service

AI Resume Screening

Industry

HR & Recruitment

Stack

Next.js, Python, Flask, AI/ML
Overviews

Challenge

HR professionals spend excessive time manually screening resumes, making hiring inefficient. Our client needed an AI-driven solution to automatically categorize, rank candidates, and generate summaries based on job descriptions.

Our Solution

We developed an AI-powered resume ranking platform that allows HR teams to upload resumes in PDF format, which are then categorized and ranked using a trained AI model. The system also provides a concise summary of each resume, helping HR make quick and informed hiring decisions.

  • iconAI Resume Screening
  • iconCandidate Ranking
  • iconInstant Summarization
  • iconAutomated Categorization

The Solution

We trained a machine learning model to analyze resumes, match them with job descriptions, and rank candidates based on relevance.

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AI Resume Screening

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Candidate Ranking

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Instant Summarization

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Automated Categorization

Project

Conclusion

Our AI-powered resume ranking system revolutionized the hiring process by making candidate selection faster and more data-driven. This project showcases our expertise in AI, machine learning, and web development.

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Next.js

Used for building a fast, interactive UI for HR professionals.

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Python & AI/ML

Trained machine learning models to analyze and rank resumes.

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Flask

Used to deploy the AI model as a microservice.