Add backend functionality for news fetching, processing, and recommendations

- Implemented NewsFetcher class to fetch articles from RSS feeds and clean HTML content.
- Added EmbeddingGenerator for generating embeddings using Cohere API.
- Created VectorStore for storing and retrieving articles using Pinecone.
- Developed NewsRecommender for analyzing articles and generating insights with Groq.
- Set up FastAPI application with endpoints for fetching news and providing recommendations.
- Configured logging for better traceability and debugging.
- Updated .gitignore to include environment variables and data directories.
- Added requirements.txt for project dependencies.

backend/requirements.txt

@@ -0,0 +1,11 @@
+fastapi==0.109.2
+uvicorn==0.27.1
+feedparser==6.0.10
+cohere==4.47
+pinecone-client==3.0.2
+python-dotenv==1.0.1
+groq==0.4.2
+pydantic==2.6.3
+python-multipart==0.0.9
+httpx==0.27.0
+beautifulsoup4==4.12.3