feat: Initial implementation of Marketing Assistant AI for Adriana James

- Set up FastAPI backend with modular structure:

  - main.py for API routing

  - copywriter.py for AI-powered content generation using Cohere

  - embeddings.py for generating and reranking content embeddings

  - vector_store.py for FAISS-based similarity search

  - brand_style.py for managing brand tone, taboo words, and preferred terms

  - config.py for managing environment and application settings

- Configured RESTful API endpoints: /generate-copy, /brand-style, /training-data, /improve-content, /analyze-content

- Created frontend with vanilla HTML, CSS, and JS (index.html, styles.css, app.js)

- Integrated brand style management for tone, voice, taboo words, and terminology

- Implemented vector search for referencing similar historical content

- Enabled training data input to improve future AI output

- Added environment variable support for API keys and model configs

- Structured data storage with local JSON and DB files

- Added developer documentation, API reference, and project setup instructions

This commit provides the foundation for a full-stack, AI-driven content creation platform that ensures brand consistency, speeds up marketing workflows, and supports iterative improvement over time.

.gitignore

@@ -0,0 +1,44 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Environment variables
+.env
+
+# Virtual Environment
+venv/
+ENV/
+
+# IDE files
+.idea/
+.vscode/
+*.swp
+*.swo
+
+# Local data
+data/past_campaigns/*
+data/user_queries/*
+!data/past_campaigns/.gitkeep
+!data/user_queries/.gitkeep
+
+# OS specific
+.DS_Store
+Thumbs.db