Generative-AI-Applications

This repository contains applications that utilize Generative AI with large language models. The projects demonstrate advanced techniques including Retrieval Augmented Generation (RAG) and multi-agent LLM applications.

Repository Contents

🤖 Multi-Agentic-Job-Application-Helper

A sophisticated job application assistant that leverages CrewAI and OpenAI GPT-4 to create tailored, honest resumes and cover letters.

Key Features:

• Multi-agent system with hierarchical task processing
• Context-based RAG for analyzing applicant profiles and job postings
• Built-in guardrails to prevent resume embellishment
• Generates tailored resumes, cover letters, and interview preparation materials

Files:

• main_app.ipynb - Main application notebook
• agent_parameters.py - Agent configuration and parameters
• job_posting_details.py - Job posting processing utilities
• applicant_profile_reference.md - Reference template for applicant profiles
• output/ - Generated application materials
• img/ - Documentation images and diagrams

Technologies: CrewAI, OpenAI GPT-4, Python, Jupyter Notebook

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This repository showcases practical implementations of modern AI techniques for real-world applications, focusing on ethical AI usage and maintaining authenticity in automated processes.