???? Project Title:

AI-Powered Resume Shortlisting

???? Summary:

The AI-Powered Resume Shortlisting system leverages machine learning algorithms to automatically analyze, rank, and filter resumes based on job requirements. This system helps HR professionals and recruiters save time and effort by automating the initial stages of recruitment and ensuring only the most relevant candidates are shortlisted.

✨ Key Features:

Resume Parsing: Extracts relevant data from resumes, such as name, contact details, skills, and experience

AI-Based Ranking: Ranks resumes based on how well they match the job description using NLP (Natural Language Processing) algorithms

Skills Matching: Matches resumes with the required skills for the job using keyword analysis

Customizable Filters: Allows recruiters to define specific criteria (e.g., years of experience, location, education)

Recommendation Engine: Provides a list of top candidates based on their fit for the job role

User-Friendly Dashboard: A dashboard for HR managers to view and manage shortlisted candidates

Integration with Job Portals: Can be integrated with popular job portals for seamless resume imports

????️ Technologies Used:

Frontend: HTML, CSS, JavaScript, React.js

Backend: Python (Flask/Django), Node.js

Machine Learning: Scikit-learn, TensorFlow, Natural Language Toolkit (NLTK)

NLP Tools: SpaCy, TextBlob

Database: PostgreSQL / MySQL

Other Tools: BeautifulSoup for web scraping (if integrating with job portals)

⚙️ Working Process:

Resume Upload: Candidates upload their resumes in various formats (PDF, DOCX, etc.)

Data Extraction: The system extracts structured data (name, contact, skills, etc.) from the resumes

Resume Analysis: The AI model processes the extracted data and compares it with the job description

Shortlisting & Ranking: The system ranks resumes based on relevance to the job and shortlists the best candidates

Admin Review: HR personnel review the AI-generated shortlist and make final decisions

Notifications: Candidates can receive notifications about their application status

✅ Benefits:

Time-Saving: Automates the initial stages of recruitment, reducing the time spent manually reviewing resumes

Improved Accuracy: AI ensures objective shortlisting based on job-fit criteria, reducing human biases

Cost-Effective: Reduces the need for extensive manual labor in the hiring process

Scalability: Can handle large volumes of resumes, making it ideal for companies with high hiring demands

Enhanced Candidate Matching: Improves the likelihood of selecting the best candidates for the job

Efficiency for HR Teams: Streamlines the recruitment process, allowing HR teams to focus on high-priority tasks