ResumeIQ

AI-powered resume analyzer with ATS match scoring, keyword analysis, and targeted improvement suggestions.

Features

• ATS match score with colour-coded indicator
• Matched and missing keyword analysis
• Three targeted improvement recommendations
• Natural language interface — no technical knowledge required

Tech Stack

Layer	Technology
Frontend	Gradio
LLM Integration	HuggingFace Inference API
Language Model	Meta Llama 3.1 8B Instruct
Language	Python 3.10

Local Setup

1. Clone the repository

git clone https://github.com/kduffuor/ResumeIQ.git
cd ResumeIQ

2. Create and activate a virtual environment

python -m venv venv
venv\Scripts\activate        # Windows
source venv/bin/activate     # Mac/Linux

3. Install dependencies

pip install -r requirements.txt

4. Create a .env file

HF_API_TOKEN=your_huggingface_token_here

5. Run the app

python app.py

Use Cases

• Job seekers looking to improve ATS compatibility
• Students preparing resumes for internships
• Professionals tailoring resumes for specific roles
• Career switchers optimizing keyword relevance

Why ResumeIQ

Most resumes fail ATS screening due to missing keywords and poor formatting.
ResumeIQ helps bridge that gap by providing instant, actionable feedback powered by AI.