Advanced Resume Analysis

This project is a multi-agent resume analysis system built using Swarms and Streamlit.
It takes a candidate's resume, processes it through specialized AI agents, and produces:

• An overview of the candidate.
• Skill extraction and evaluation (with ratings and rationales).
• Job recommendations with confidence scores.
• Enhancements for the candidate's resume.
• An executive summary combining all results.
• A downloadable report in Markdown format.

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🚀 Features

• Independent AI agents for modularity and clearer responsibilities.
• Multi-step pipeline where agents share processed context.
• Downloadable analysis (.md format).
• Configurable prompts for fine-tuning each agent’s behavior.
• Streamlit dashboard for easy use.

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🧠 Agents

Agent Name	Role	Description
Overviewer	Resume Parser & Overview	Parses the resume and generates a 3–5 paragraph overview of the candidate (excluding personal details).
Skill Extractor and Evaluator	Skill Analysis	Extracts technical and soft skills from the resume, rates them on a scale of 1–10 with a rationale (no tables).
Job Recommender	Job Suggestions	Suggests 3–5 job titles based on the candidate’s profile, with rationale and confidence scores.
Enhancer	Suggests Resume Improvements	Suggests 3-5 practical resume improvements from the recruiter's POV.
Summarizer	Executive Summary	Produces a 3–5 paragraph summary based on all previous agent outputs.

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📂 Project Structure

project/
│
├── dashboard.py                # Streamlit frontend
├── agents.py                   # Agent definitions
├── .env                        # Environment variables (API keys, and models)
├── requirements.txt            # Python dependencies
├── README.md                   # Documentation (This file)
└── candidate_analysis.md       # Generated Markdown analysis reports

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⚙️ How It Works

1. Upload Resume → The system ingests the file and triggers the agents.
2. Overviewer → Parses and summarizes the resume.
3. Skill Extractor and Evaluator → Finds skills, scores them, and explains ratings.
4. Job Recommender → Suggests suitable jobs with confidence scores.
5. Enhancer → Suggests improvements to the resume.
6. Summarizer → Combines all results into a single executive summary.
7. Download → The complete analysis is saved as a .md file for download.

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🛠️ Installation

1. Clone the repo:

   git clone https://github.com/rajan-bhateja/Advanced_Resume_Analyzer.git
   cd Advanced_Resume_Analyzer

2. Install Dependencies:

   pip install -r requirements.txt
   

3. Add your API keys and models to .env:

   OPENAI_API_KEY=your_openai_api_key
   MODEL_NAME=your_model_name
   

4. Run the App:

   streamlit run .\dashboard.py
   

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📤 Output Example

Skill Extractor Output:

• Python: 9/10 — Mentioned in multiple projects and certifications.
• Machine Learning: 8/10 — Demonstrated through research and hands-on experience.
• Communication: 7/10 — Evident from leadership roles and project presentations.

Job Recommender Output:

• Data Scientist (Confidence: 9/10) — Strong skills in ML and data analysis.
• AI Research Associate (Confidence: 8/10) — Research experience in AI/ML domain.
• Backend Developer (Confidence: 7/10) — Solid programming fundamentals.

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📜 License

This project is for educational and portfolio purposes only.

Not intended for commercial use.

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🙌 Acknowledgements

Swarms for the multi-agent framework.

Streamlit for the web interface.