🔨 Resume Forge: AI-Powered Resume Builder & Reviewer

Resume Forge is an intelligent, all-in-one web application designed to help you build a professional, modern resume and optimize it for Applicant Tracking Systems (ATS) using a sophisticated hybrid AI model.

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✨ Key Features

Resume Forge is built around three core modules, providing a seamless experience from creation to optimization.

1. Dynamic Resume Builder

• Modern Two-Column PDF: Generate a visually appealing, professional resume in a clean two-column layout that is easy for recruiters to read.
• Fully Dynamic Form: Add or remove multiple entries for work experience, education, projects, and certifications on the fly.
• Comprehensive Fields: Includes all necessary sections, from personal details and a professional summary to skills, CGPA, and project links (GitHub & Live Demo).
• Instant PDF Download: Get a downloadable PDF of your resume as soon as you're done editing.

2. AI-Powered ATS Review

• Specific Job Targeting: Paste a job description to see how well your resume aligns with the role.
• Local AI Scoring (Free & Fast): Uses a local KeyBERT and SentenceTransformer model to analyze the job description, extract the most critical skills, and perform semantic search on your resume. Provides a quantitative ATS score without any API calls.
• Skill Gap Analysis: Instantly see which key skills from the job description are present on your resume and which ones are missing.

3. AI Career Coach

• General Quality Review: Get a "Resume Quality Score" and actionable feedback on structure, clarity, and impact.

• In-Depth Suggestions (Powered by Google Gemini):

  • Overall Impression: Strengths and weaknesses.
  • Alignment with Job Description: How well your resume matches a given role.
  • Action Verb Analysis: Suggestions for stronger, more impactful verbs.
  • Content & Clarity: Tips to refine your descriptions and summaries.

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🛠️ Tech Stack

This project leverages a modern stack of Python libraries for web development, PDF generation, and machine learning.

• Framework: Streamlit

• PDF Generation: fpdf2 (with full Unicode and emoji support)

• AI & Machine Learning:

  • Generative AI: Google Generative AI SDK (gemini-1.5-flash-latest)
  • NLP & Keyword Extraction: sentence-transformers, keybert

• Data Visualization: Plotly

• File Parsing: PyPDF2

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🚀 Getting Started

Follow these steps to run the project on your local machine.

1. Prerequisites

• Python 3.10 or higher
• An active Google Gemini API key (Get one here)

2. Clone the Repository

git clone https://github.com/shivamr021/Resume-Forge.git
cd Resume-Forge

3. Create a Virtual Environment

# For Windows
python -m venv .venv
.\.venv\Scripts\activate

# For macOS/Linux
python3 -m venv .venv
source .venv/bin/activate

4. Install Dependencies

pip install -r requirements.txt

5. Set Up Your API Key

Create a secrets file for your API key. This file is included in .gitignore.

mkdir .streamlit
nano .streamlit/secrets.toml

Add your key:

# .streamlit/secrets.toml
GOOGLE_API_KEY = "YOUR_API_KEY_HERE"

6. Run the Application

streamlit run app.py

Your application will now be running in the browser!

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📈 Project Evolution & Learnings

This project was a journey of continuous improvement, evolving from a simple, rule-based script into a sophisticated hybrid AI application. Key milestones included:

• Upgrading PDF Generation: Migrated from fpdf to fpdf2 to solve Unicode and font-embedding issues, enabling a more robust and visually appealing resume design.

• Securing Credentials: Implemented secure API key management using Streamlit's secrets.toml and a comprehensive .gitignore to prevent credential leaks.

• Implementing a Hybrid AI Model: Transitioned from a costly, API-only approach to a more efficient hybrid model:

  • Local KeyBERT for high-frequency quantitative ATS scoring.
  • Google Gemini for low-frequency, high-value qualitative feedback.

This balance created a scalable and cost-effective solution.

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👤 Author

Shivam Rathod

• GitHub: shivamr021
• LinkedIn: shivamrathod021