Course Code: WID3014
Course Name: Practical AI
In today's competitive job market, HR departments face significant challenges:
- Volume Overload: HR professionals spend countless hours screening hundreds of applications for each position
- Consistency Issues: Manual screening can lead to inconsistent evaluation criteria across candidates
- Time Constraints: The pressure to fill positions quickly can result in overlooking qualified candidates
- Unconscious Bias: Human reviewers may inadvertently bring personal biases into the screening process
- Resource Intensive: Traditional interview processes require significant time and human resources
- Candidate Experience: Delayed responses and lack of feedback negatively impact candidate experience
Our AI-powered solution addresses these challenges by automating the initial screening process, ensuring fair evaluation, and significantly reducing the time-to-hire while maintaining high-quality candidate selection.
We're developing an intelligent HR filtering system that:
- Automates initial candidate screening using advanced LLM technology
- Provides consistent evaluation criteria across all applications
- Reduces time-to-hire by up to 75%
- Minimizes unconscious bias in the selection process
- Improves candidate experience through quick feedback
- Allows HR professionals to focus on high-value interactions
- Intelligent Resume Parsing: Extract and analyze key information from resumes
- Automated Initial Screening: Use LLMs to evaluate candidate responses
- Sentiment Analysis: Understand candidate communication style and soft skills
- Custom Interview Generation: Create personalized interview questions based on job requirements
- Bias Detection: Implement fairness checks in the filtering process
- Performance Analytics: Track and analyze recruitment metrics
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature
) - Commit your changes (
git commit -m 'Add some AmazingFeature'
) - Push to the branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
- Poo Wei Chien
- Tan Guo Dong
- Goh Yi Xian
- Tan Wei Ling
- Cheok Xin Yu
Made with ❤️ by WID3014 Practical AI students