Job Assistant – RAG Based System

A Retrieval-Augmented Generation (RAG) app built on job postings data.
It uses OpenAI embeddings + GPT models to provide:

• Job recommendations by skills & location
• Summaries & comparisons of job postings
• Chat-based job search (ChatGPT-style)

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Setup

# 1. Clone repo
git clone https://github.com/yourusername/JobAssistant.git
cd JobAssistant

# 2. Create venv
python -m venv venv
source venv/bin/activate   # macOS/Linux
venv\Scripts\activate      # Windows

# 3. Install dependencies
pip install -r requirements.txt

# 4. Add OpenAI API key in .env
OPENAI_API_KEY=your_api_key_here

# 5. Run app
python app.py

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Usage

Ask questions like:

• “Jobs for Python developer in Berlin”
• “Summarize this job description”
• “job based on salary,city,profession”

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📌 Tech Stack

• Python, Flask
• OpenAI GPT + Embeddings
• Job dataset (cleaned & preprocessed)