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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+
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+ # 🎯 Intelliverse β€” AI-Powered Recruitment Automation
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+
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+ > **Hackathon Project** β€” Automated Resume Screening, Scoring & Interview Scheduling
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+
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+ ---
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+
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+ ## πŸš€ What It Does
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+
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+ 1. **Upload** bulk PDF resumes
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+ 2. **AI Scores** each candidate 0-100 against your Job Description (using Google Gemini)
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+ 3. **Auto-Shortlist** candidates above your threshold
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+ 4. **Sends Emails** β€” interview invites to shortlisted, rejection emails to others β€” all automated
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+
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+ ---
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+
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+ ## πŸ› οΈ Tech Stack
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+
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+ | Layer | Tech |
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+ |-------|------|
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+ | Backend | Flask + SQLAlchemy (SQLite) |
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+ | AI Engine | Google Gemini 1.5 Flash/Pro |
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+ | PDF Parsing | PyMuPDF (fitz) |
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+ | Email | Python SMTP (Gmail) |
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+ | Frontend | Tailwind CSS + Chart.js |
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+
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+ ---
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+
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+ ## ⚑ Quick Start
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+
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+ ### 1. Clone & Install
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+ ```bash
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+ git clone <your-repo>
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+ cd talentiq-ats
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+ pip install -r requirements.txt
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+ ```
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+
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+ ### 2. Configure Environment
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+ ```bash
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+ cp .env.example .env
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+ # Edit .env with your Gemini API key and Gmail credentials
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+ ```
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+
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+ ### 3. Run
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+ ```bash
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+ python app.py
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+ # Open http://localhost:5000
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+ ```
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+
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+ ---
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+
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+ ## πŸ“‚ Project Structure
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+
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+ ```
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+ talentiq-ats/
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+ β”œβ”€β”€ app.py # Flask routes & main logic
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+ β”œβ”€β”€ utils/
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+ β”‚ β”œβ”€β”€ ai_analyzer.py # Gemini AI resume analysis
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+ β”‚ β”œβ”€β”€ resume_parser.py # PDF text extraction (PyMuPDF)
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+ β”‚ β”œβ”€β”€ scheduler.py # Email sending (SMTP)
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+ β”‚ └── database.py # SQLAlchemy models
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+ β”œβ”€β”€ templates/
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+ β”‚ β”œβ”€β”€ base.html # Layout with navbar
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+ β”‚ β”œβ”€β”€ index.html # Landing page
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+ β”‚ β”œβ”€β”€ upload.html # Resume upload & screening
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+ β”‚ β”œβ”€β”€ dashboard.html # Analytics dashboard
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+ β”‚ └── candidate_detail.html # Individual candidate view
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+ β”œβ”€β”€ requirements.txt
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+ └── .env.example
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+ ```
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+
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+ ---
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+
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+ ## πŸ”‘ Environment Variables
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+
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+ | Variable | Purpose |
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+ |----------|---------|
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+ | `GEMINI_API_KEY` | Google Gemini AI key |
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+ | `SECRET_KEY` | Flask session secret |
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+ | `SMTP_USER` | Gmail address for sending emails |
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+ | `SMTP_PASS` | Gmail App Password (not account password) |
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+
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+ ---
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+
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+ ## πŸ“Š Features Overview
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+
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+ - **Bulk PDF upload** with drag-and-drop
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+ - **Configurable score threshold** (slider UI)
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+ - **Interview scheduler** β€” set date, time, meeting link
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+ - **Auto email** β€” HTML-formatted invite & rejection emails
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+ - **Dashboard** with Doughnut & Bar charts
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+ - **Candidate profiles** with skill match/gap analysis
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+ - **Re-schedule** interviews from candidate detail page
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+ - **SQLite database** β€” full audit trail
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+
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+ ---
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+
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+ ## 🧠 AI Prompt Output (JSON)
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+
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+ ```json
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+ {
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+ "name": "Priya Sharma",
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+ "email": "priya@example.com",
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+ "score": 84,
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+ "reasoning": "Strong Python and ML background. Matches 7/9 required skills.",
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+ "matching_skills": ["Python", "TensorFlow", "REST APIs"],
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+ "missing_skills": ["Kubernetes", "AWS"],
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+ "verdict": "Interview"
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+ }
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+ ```
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+