🤖 HireMind AI - Intelligence-Driven ATS

HireMind AI is an enterprise-grade Applicant Tracking System (ATS) designed to eliminate recruitment bottlenecks and hiring bias. By combining local semantic embeddings with cloud-based LLM reasoning, it provides a fast, fair, and data-driven recruitment pipeline.

🌟 Key Features

1. 📄 Bulk Resume Processing: Rapidly upload and process dozens of resumes simultaneously.
2. 🔍 Universal Parsing: Full support for extracting and analyzing text from both PDF and DOCX formats.
3. 🧠 Semantic Match Engine: Moves beyond keyword matching to understand the deep contextual relevance between candidates and Job Descriptions.
4. 📝 AI-Generated Candidate Summaries: Leverages LLMs to generate concise, high-level snapshots of a candidate's professional profile.
5. ⚖️ Explainable Scoring: Provides a transparent breakdown of match percentages across Education, Experience, and Skills.
6. 🏆 Intelligent Ranking: Automatically ranks candidates based on a multi-dimensional semantic match score.
7. 🕵️ Bias Masking: Redacts PII (Names, Emails, Locations) and neutralizes pronouns to ensure a purely merit-based screening process.
8. 📊 Diversity & Analytics Dashboard: Real-time visualization of applicant distribution, score tiers, and hiring metrics.
9. 🚀 Multi-Role Management: Seamlessly handle multiple job openings with dedicated, filtered data and leaderboards for each role.
10. 🔄 Hiring Cycle Tracking: End-to-end management of the recruitment pipeline—manually advance candidates through stages from CV Screening to Technical Interviews and Offer Letters.

🛠️ Tech Stack

• Frontend: Streamlit (Custom Glass-morphism UI)
• NLP Engine: spaCy (NER for Bias Masking)
• Vector Embeddings: SBERT (all-MiniLM-L6-v2)
• Reasoning LLM: Groq (Llama-3.3-70b-versatile)
• Visualization: Plotly Express

📦 Installation & Setup

1. Clone the Repository:

   git clone [https://github.com/OptCamp/HiremindAi.git](https://github.com/OptCamp/HiremindAi.git)
   cd HiremindAi

2. Install Dependencies:

   pip install -r requirements.txt

3. Download NLP Models:

   python -m spacy download en_core_web_sm

4. Configure Secrets: Add your GROQ_API_KEY to .streamlit/secrets.toml.
5. Run the Application:

   streamlit run app.py

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👨‍💻 Developer: Revanth Kovvuri