Add initial implementation of Deal Intel project

This commit introduces the foundational structure for the Deal Intel project, including:
- Environment configuration file (.env.example) for managing secrets and API keys.
- Scripts for building a ChromaDB vector store (build_vector_store.py) and training machine learning models (train_rf.py, train_ensemble.py).
- Health check functionality (health_check.py) to ensure system readiness.
- A launcher script (launcher.py) for executing various commands, including UI launch and health checks.
- Logging utilities (logging_utils.py) for consistent logging across the application.
- A README file providing an overview and setup instructions for the project.

These additions establish a comprehensive framework for an agentic deal-hunting AI system, integrating various components for data processing, model training, and user interaction.

week8/community_contributions/hopeogbons/Deal Intel/config.py

@@ -0,0 +1,34 @@
+#!/usr/bin/env python3
+"""
+Centralized configuration for Deal Intel.
+"""
+
+import os
+from typing import List
+
+# Vector store
+DB_PATH = os.getenv("DEAL_INTEL_DB_PATH", "products_vectorstore")
+COLLECTION_NAME = os.getenv("DEAL_INTEL_COLLECTION", "products")
+
+# Embedding model
+MODEL_NAME = os.getenv("DEAL_INTEL_EMBED_MODEL", "sentence-transformers/all-MiniLM-L6-v2")
+
+# Categories (kept consistent with framework plot colors)
+CATEGORIES: List[str] = [
+    "Appliances",
+    "Automotive",
+    "Cell_Phones_and_Accessories",
+    "Electronics",
+    "Musical_Instruments",
+    "Office_Products",
+    "Tools_and_Home_Improvement",
+    "Toys_and_Games",
+]
+
+# Data limits
+MAX_ITEMS_PER_CATEGORY = int(os.getenv("DEAL_INTEL_MAX_ITEMS", "2500"))
+BATCH_SIZE = int(os.getenv("DEAL_INTEL_BATCH_SIZE", "500"))
+
+# Training limits
+RF_MAX_DATAPOINTS = int(os.getenv("DEAL_INTEL_RF_MAX_DATAPOINTS", "10000"))
+ENSEMBLE_SAMPLE_SIZE = int(os.getenv("DEAL_INTEL_ENSEMBLE_SAMPLE_SIZE", "200"))