CVortex — AI Resume Intelligence Platform

CVortex is an AI-powered ATS Resume Optimization Platform that helps users improve their resumes for Applicant Tracking Systems (ATS) using NLP, semantic analysis, keyword intelligence, and AI-driven scoring.

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Live Demo

Frontend (Streamlit)

CVortex Live App

Backend (Render)

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Features

• ATS Resume Scoring
• AI-Powered Semantic Analysis
• Keyword Match Intelligence
• Component-wise Resume Breakdown
• PDF/DOCX Resume Support
• Secure Authentication with Supabase
• Analysis History Tracking
• Resume Optimization Recommendations
• Modern Animated UI
• Fast Local AI Processing

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Tech Stack

Frontend

• Streamlit
• Custom CSS
• Streamlit Option Menu

Backend

• FastAPI
• Uvicorn

AI / NLP

• Sentence Transformers
• spaCy
• Transformers
• Scikit-learn

Database & Auth

• Supabase

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Project Structure

CVortex/
│
├── backend/
│   ├── api/
│   ├── core/
│   ├── database/
│   ├── models/
│   ├── services/
│   ├── utils/
│   └── main.py
│
├── frontend/
│   ├── assets/
│   ├── components/
│   ├── services/
│   ├── views/
│   └── streamlit_app.py
│
├── Dataset/
├── requirements.txt
└── README.md

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Installation

1. Clone Repository

git clone https://github.com/itsakki10/CVortex.git
cd CVortex

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2. Create Virtual Environment

python -m venv env

Activate Environment

Windows

env\Scripts\activate

Linux / Mac

source env/bin/activate

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3. Install Dependencies

pip install -r requirements.txt

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Environment Variables

Create a .env file in the root directory.

GROQ_API_KEY=your_groq_api_key

SENTENCE_TRANSFORMER_MODEL=all-MiniLM-L6-v2

SUPABASE_URL=your_supabase_url
SUPABASE_KEY=your_supabase_service_key
SUPABASE_ANON_KEY=your_supabase_anon_key

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Run Backend

cd backend
uvicorn main:app --reload

Backend runs on:

http://localhost:8000

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Run Frontend

cd frontend
streamlit run streamlit_app.py

Frontend runs on:

http://localhost:8501

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Core Modules

Landing Dashboard

Modern ATS optimization homepage with animated UI.

ATS Scorer

Analyze resumes using AI-powered ATS scoring.

Analysis History

Track and revisit previous resume analyses.

Resources Section

ATS optimization tips and resume guidance.

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Security & Privacy

• Resume analysis runs securely
• Supabase authentication integration
• Sensitive files ignored using .gitignore
• API keys protected using environment variables

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Deployment

Frontend

Deployed using:

• Streamlit Community Cloud

Backend

Deployable on:

• Render
• Railway
• VPS

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Future Improvements

• AI Resume Builder
• Job Description Match Engine
• Resume Templates
• Interview Preparation Assistant
• Multi-language Resume Support

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Akash Mehra

• GitHub: itsakki10 GitHub
• Project: CVortex Repository

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Support

If you liked this project:

• Star the repository
• Fork the project
• Contribute improvements

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License

This project is licensed under the MIT License.

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CVortex

Optimize smarter. Get shortlisted faster.