An AI-powered candidate ranking system developed as part of the Redrob AI – India Runs Data & AI Challenge.
The project evaluates candidate profiles and ranks them based on predefined criteria using Artificial Intelligence and data-driven techniques.
Recruiters often spend significant time reviewing resumes manually. This project explores how Artificial Intelligence can assist in evaluating and ranking candidates based on relevant skills, experience, and other important factors.
The solution demonstrates practical AI concepts that can simplify and improve the recruitment process.
- Candidate profile analysis
- AI-assisted ranking
- Data-driven evaluation
- Python-based implementation
- Modular project structure
- Easy to extend and customize
Programming Language
- Python
Libraries
- Pandas
- NumPy
Development Tools
- Git
- GitHub
- Visual Studio Code
Candidate Data
↓
Data Preprocessing
↓
Feature Extraction
↓
Candidate Evaluation
↓
Ranking Algorithm
↓
Final Ranked Output
This project helped me gain practical experience in:
- Data preprocessing
- Artificial Intelligence concepts
- Python programming
- Problem solving
- Data analysis
- Working on real-world hackathon challenges
- Machine Learning based ranking
- Resume parsing
- Natural Language Processing
- Web interface
- Dashboard
- Cloud deployment
Pavan Kumar
GitHub