Skip to content
This repository was archived by the owner on Apr 16, 2026. It is now read-only.

Latest commit

 

History

History
29 lines (20 loc) · 1.4 KB

File metadata and controls

29 lines (20 loc) · 1.4 KB

AIHawk - Technical Documentation

Welcome to the developer documentation for Jobs_Applier_AI_Agent_AIHawk. This documentation is designed to help developers understand the architecture, core modules, and workflows of the application.

📚 Table of Contents

  • System Overview: High-level architecture, tech stack, and component interactions.
  • Application Flows: Visual diagrams (Mermaid) of startup, resume generation, and parsing flows.
  • Core Logic: Entry points, orchestration, and main application logic.
  • LLM Integration: AI model adapters, prompt engineering, and LLM management.
  • Data Models: Resume structures, profile schemas, and data validation.
  • Configuration: Configuration handling, validation, and secrets management.
  • Utilities: Shared utility functions and helpers.

🚀 Quick Start

Ensure you have the required dependencies and configuration files set up as per the main project README.

# Run the application
python main.py

🤝 Contribution

Please refer to CONTRIBUTING.md for guidelines on how to contribute to this project.