AI Powered Resume Reviewer

A full-stack application that allows users to upload their resume (PDF), processes it using AI (OpenAI GPT-4 Vision), and provides detailed feedback on improvements and mistakes. The backend is built with FastAPI, MongoDB, and Redis (Valkey), and the frontend is built with Streamlit.

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Features

• Upload Resume: Upload your PDF resume via a simple web interface.
• AI Review: The backend uses OpenAI's GPT-4 Vision to analyze your resume and provide actionable feedback.
• Status Tracking: See the processing status in real time.
• Feedback Display: View AI-generated feedback, including markdown and tables, directly in the frontend.

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Tech Stack

• Backend: FastAPI, MongoDB, Redis (Valkey), RQ, OpenAI API
• Frontend: Streamlit
• Containerization: Docker Compose

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Getting Started

1. Clone the Repository

git clone <your-repo-url>
cd AI_Powered_Resume_Reviewer

2. Set Up Environment Variables

Create a .env file in the root directory and add your OpenAI API key:

OPENAI_API_KEY=sk-...

3. Start the Backend and Services

Use Docker Compose to start MongoDB, Redis (Valkey), and the dev container:

docker compose up -d

4. Install Python Dependencies

(Inside the dev container or your Python environment)

pip install -r requirements.txt

5. Run the FastAPI Backend

bash run.sh

The backend will be available at http://localhost:8000

6. Run the Streamlit Frontend

In a new terminal:

streamlit run streamlit_app.py

The frontend will be available at http://localhost:8501

7. Start the RQ Worker (Required for Processing)

In another terminal (inside the dev container):

rq worker --with-scheduler --url redis://valkey:6379

This will process uploaded resumes in the background.

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Usage

1. Open the Streamlit app in your browser.
2. Upload your PDF resume.
3. Wait for processing (status will update automatically).
4. View detailed AI feedback and suggestions.

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Project Structure

AI_Powered_Resume_Reviewer/
├── app/
│   ├── main.py
│   ├── server.py
│   ├── db/
│   ├── queue/
│   └── utils/
├── streamlit_app.py
├── requirements.txt
├── run.sh
├── docker-compose.yaml
└── README.md

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Troubleshooting

• MongoDB/Redis connection errors: Ensure Docker containers are running and accessible.
• OpenAI API errors: Check your API key and usage limits.
• File upload issues: Ensure /mnt/uploads/ is writable by the backend.

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License

MIT License