"Automating the first glance. Fair, Efficient, and Explainable Talent Acquisition."

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In a world where one job posting attracts thousands of resumes, the traditional hiring funnel is broken. Recruiters spend an average of 6 seconds per resume, leading to burnout and missed opportunities. Nexus HR Intelligence is an enterprise-grade AI solution that reads, scores, and ranks candidates instantly—transforming weeks of work into seconds.

1. Semantic Search (No Keywords): We don't just count keywords. Our NLP model uses Sentence Transformers (Hugging Face) to understand the meaning of a candidate's experience, matching it to the Job Description with advanced semantic similarity.
2. Explainable AI: Nexus doesn't just give a score; it generates a radar symmetry map for every candidate, showing exactly why the AI ranked them that way (e.g., strong experience, weak achievements).
3. Secure Multi-Tenant Auth: Built on MongoDB Atlas, Nexus allows different companies (like Stark Industries or Wayne Enterprises) to register and manage their own isolated talent pools securely.

This is a Full-Stack Microservices Application built for high-performance AI inference.

• Frontend: Streamlit (UI, Visualizations, Auth UI, Glassmorphism CSS)
• Database: MongoDB Atlas (Cloud NoSQL DB for users and candidates)
• NLP & Scoring: Sentence Transformers (all-MiniLM-L6-v2) via Hugging Face
• Data Science: Scikit-learn (Linear Regression), Pandas, Numpy, Plotly
• Backend: FastAPI & Uvicorn (REST API)

🚀 How to Run Locally If you wish to run the development environment on your machine:

Deployed Website Link: https://analyserresume.streamlit.app/

1. Clone the repository:

git clone https://github.com/your-username/your-repo-name.git cd your-repo-name

2. Install dependencies:

We recommend using a virtual environment (venv).

pip install -r requirements.txt

3. Set up the environment variables:

Create a .env file in the root directory and add: MONGO_URI=your_mongodb_atlas_connection_string

5. Start the Backend:

uvicorn api:app --reload

5. Start the Frontend (New Terminal):

streamlit run app.py

👥 The Team (SAH_Hackathon) Devkanti Sarkar- Resume Parsing and Extraction Engineer

Mohar Gorai - Scoring Algorithm and Data Processing Engineer

Agrima Gupta - System Integration and UI developer