NexHire AI is an AI-powered Recruitment Automation Platform designed to streamline and optimize the entire hiring lifecycle. The platform leverages Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Resume Parsing, ATS Scoring, Candidate Ranking, Job Matching, and Interview Intelligence to help recruiters identify the best candidates efficiently.
The system automates candidate screening, skill assessment, job recommendations, interview scheduling, and recruitment analytics while providing a modern HR dashboard for data-driven hiring decisions.
- Candidate Registration & Authentication
- Profile Management
- Resume Upload & Storage
- Multiple Resume Support
- Candidate Tracking System
- Resume Parsing
- OCR-based Resume Extraction
- Skill Extraction
- Education & Experience Analysis
- Project & Certification Detection
- ATS Resume Scoring
- AI-based Job Recommendations
- Skill Matching
- Experience Matching
- Education Matching
- Candidate-Job Similarity Scoring
- ATS-Based Ranking
- Skill-Based Ranking
- Experience Evaluation
- Multi-factor Candidate Scoring
- Recruiter-Friendly Candidate Comparison
- Interview Scheduling
- AI Interview Bot
- Dynamic Technical Questions
- Behavioral Assessment
- Voice Interview Analysis
- Interview Analytics
- Hiring Funnel Analytics
- Resume Analytics
- Candidate Ranking Dashboard
- Skill Gap Analysis
- Hiring Trends Visualization
- Department-wise Recruitment Insights
- Duplicate Resume Detection
- Fake Experience Detection
- Resume Authenticity Checks
- Candidate Verification Pipeline
- React.js
- Next.js
- Tailwind CSS
- Chart.js
- Axios
- FastAPI
- Python
- PostgreSQL
- MongoDB
- BERT
- RoBERTa
- Sentence Transformers
- SpaCy
- LLM Integration
- Scikit-Learn
- Random Forest
- XGBoost
- Logistic Regression
- Tesseract OCR
- EasyOCR
- Whisper
- GitHub
- Docker
- Kubernetes
- AWS
- Nginx
Candidate uploads resume.
Resume Parser extracts:
- Name
- Contact Information
- Skills
- Education
- Experience
- Certifications
- Projects
Skill Extraction Engine identifies technical and soft skills.
ATS Engine calculates resume score and provides optimization suggestions.
Job Matching Engine compares candidate profile with available jobs.
Candidate Ranking Model generates rankings based on:
- ATS Score
- Skills
- Experience
- Education
- Certifications
Recruiters review top candidates through the dashboard.
AI Interview Assistant conducts assessments and generates analytics.
Final hiring decisions are supported by analytics and candidate insights.
Candidate Upload ↓ Resume Processing ↓ OCR + Parsing ↓ Skill Extraction ↓ ATS Scoring ↓ Job Matching ↓ Candidate Ranking ↓ Interview Intelligence ↓ Recruiter Dashboard ↓ Hiring Decision
- Total Candidates
- Active Jobs
- Interviews Scheduled
- Hiring Metrics
- ATS Score Distribution
- Skill Distribution
- Education Analysis
- Experience Analysis
- Top Candidates
- Candidate Comparison
- Ranking Insights
- Missing Skills
- Training Recommendations
- Career Growth Suggestions
- Monthly Hiring Reports
- Skill Demand Trends
- Recruitment Statistics
- AI-Powered Career Recommendations
- LinkedIn Profile Analysis
- Resume Improvement Assistant
- Real-Time Interview Monitoring
- Deepfake Detection
- Predictive Hiring Analytics
- Multi-Language Resume Parsing
- Enterprise ATS Integration
git clone https://github.com/Shreya889094/AI_Hiring_Assistent.gitcd backend
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txtuvicorn app.main:app --reloadcd frontend
npm install
npm run dev- Automate Recruitment Workflows
- Reduce Manual Screening Effort
- Improve Hiring Accuracy
- Enhance Candidate Experience
- Enable Data-Driven Recruitment
- Build a Scalable AI Recruitment Platform
Shreya Srivastava
B.Tech Data Science Student
AI • Machine Learning • Data Science • Full Stack Development
This project is developed for educational, research, and recruitment automation purposes.