hmnshudhmn24/skillgap-ai

SkillGapAI 🚀

SkillGapAI is an AI-powered system that analyzes resumes and job market trends to predict future skill gaps (6–12 months) and generate personalized learning paths.

The project is designed for career intelligence, education platforms, and agent-based systems, and is fully compatible with Hugging Face and Gradio Spaces.

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🔍 What Problem Does It Solve?

Most resume analyzers focus only on current skills.
SkillGapAI goes further by answering:

• Which skills will be important in the next 6–12 months?
• What skills is a candidate missing?
• What is the best learning path to close those gaps?

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✨ Key Features

• 📄 Resume parsing (JSON-based, extensible to PDF)
• 🧠 Skill extraction using taxonomy
• 📈 Job market trend analysis
• 🔮 Future skill gap prediction
• 🗺️ Personalized learning path generation
• 🤗 Hugging Face–ready pipeline
• 🎛️ Gradio demo included
• 🧪 ML-based trend prediction baseline

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📂 Project Structure

skillgap-ai/
├── config/
├── data/
├── src/
├── training/
├── pipelines/
├── scripts/
├── tests/
├── notebooks/
├── app.py
├── README.md
├── model_card.md
├── requirements.txt
└── LICENSE

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⚙️ Installation

pip install -r requirements.txt

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🚀 Quick Usage

from src.inference import SkillGapPipeline

pipeline = SkillGapPipeline()

result = pipeline(
    "data/sample_resumes/resume_example.json",
    "data/job_market/job_trends_sample.json",
    "data/learning_resources.json"
)

print(result)

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🎛️ Gradio Demo

python app.py

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🧠 How It Works

1. Resume Parsing
2. Skill Extraction
3. Trend Analysis
4. Gap Prediction
5. Learning Path Generation