CVPilot

AI-powered academic career analysis service

Overview

CVPilot is an AI-based academic career analysis platform designed for students preparing for graduate school. It provides various features including CV analysis, paper trend analysis, interview practice, and more.

Features

📊 CV Analysis

• AI-powered CV analysis with strengths and improvement suggestions
• Skill radar chart visualization
• Support for PDF, DOCX, and TXT files

📈 Paper Trend Analysis

• Real-time analysis of latest AI/ML research trends
• Hot topics identification by research field
• Keyword-based trend visualization

🔍 Paper Comparison Analysis

• Compare research ideas with existing papers
• Differentiation strategy suggestions
• Similarity analysis

💬 CV-based Interview Practice

• Interviewer mode: AI acts as an interviewer
• Practice mode: Sample answers and advice
• Customized question generation

🎙️ Daily Paper Podcast

• Audio summaries of latest papers
• TTS technology integration
• Audio player with controls

🏫 Lab Analysis

• Research field analysis by laboratory
• Faculty profile information
• Lab recommendations

Tech Stack

Frontend

• Next.js 14
• TypeScript
• Material-UI
• React Hooks

Backend

• FastAPI
• Python 3.11
• AWS Lambda
• Docker

AI/ML

• OpenAI GPT-4
• OpenAI Embedding API
• Supabase (PostgreSQL)

Infrastructure

• AWS S3 (Static Hosting)
• AWS CloudFront (CDN)
• AWS ECR (Docker Registry)

Getting Started

Prerequisites

• Node.js 18+
• Python 3.11+
• OpenAI API Key

Frontend Setup

cd app
npm install
npm run dev

Backend Setup

cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload

Deployment

Frontend Deployment

cd app
./deploy-frontend.sh

Backend Deployment

cd backend
./deploy-lambda.sh

Environment Variables

Frontend (.env.local)

NEXT_PUBLIC_API_URL=https://your-lambda-url.amazonaws.com

Backend (.env)

OPENAI_API_KEY=your-openai-api-key
SUPABASE_URL=your-supabase-url
SUPABASE_KEY=your-supabase-key

Project Structure

CVPilot/
├── app/                    # Frontend (Next.js)
│   ├── components/         # React components
│   ├── pages/             # Page components
│   ├── hooks/             # Custom Hooks
│   ├── api/               # API clients
│   └── config/            # Configuration files
├── backend/               # Backend (FastAPI)
│   ├── app/               # Main application
│   │   ├── cv_analysis/   # CV analysis module
│   │   ├── paper_trend/   # Paper trend module
│   │   ├── cv_QA/         # CV QA module
│   │   └── shared/        # Shared modules
│   └── requirements.txt   # Python dependencies
└── utils/                 # Utility scripts

License

MIT License

Contributing

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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_{Project Owner: WonJune Jang}