diff --git a/config.json b/config.json
index 9b538ce..b267d55 100644
--- a/config.json
+++ b/config.json
@@ -1,4 +1,24 @@
 {
     "database_url": "mongodb://localhost:27017",
-    "api_base_url": "http://localhost:5000/api/swot"
+    "api_base_url": "http://localhost:5000/api/swot",
+    "cloudflare": {
+        "api_key": "SqnVMNvjSXpDN9YCR_vf-cqlnsKjZAcJ4SrfEi5u",
+        "r2_storage_url": "https://2bf985f6bc3412ca90de78c00002ecaf.r2.cloudflarestorage.com/immudb",
+        "d1_database_id": "a5a53e0b-af35-4f87-89ac-7069f635e54b"
+    },
+    "databases": {
+        "immudb": {
+            "storage_type": "Cloudflare R2",
+            "url": "https://2bf985f6bc3412ca90de78c00002ecaf.r2.cloudflarestorage.com/immudb"
+        },
+        "influxdb": {
+            "storage_type": "Cloudflare D1 SQL",
+            "database_id": "a5a53e0b-af35-4f87-89ac-7069f635e54b"
+        }
+    },
+    "automation": {
+        "opencv_ai": true,
+        "grpc": true,
+        "protobuf": true
+    }
 }
\ No newline at end of file
diff --git a/main.py b/main.py
index 9624edc..7b70f3c 100644
--- a/main.py
+++ b/main.py
@@ -1,83 +1,31 @@
 
-from flask import Flask, jsonify, request
-from flask_cors import CORS
-from pymongo import MongoClient
-from swot_analysis import SWOTAnalysis
-from swot_ai_helper import SWOTAIHelper
+import os
 import json
-import logging
 
-# Setup logging
-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(levelname)s - %(message)s'
-)
+# Load the updated configuration
+config_path = 'config.json'
+with open(config_path, 'r') as config_file:
+    config = json.load(config_file)
 
-app = Flask(__name__)
-CORS(app)
+# Example usage of immudb and InfluxDB configurations
+def connect_to_immudb():
+    immudb_url = config['databases']['immudb']['url']
+    print(f"Connecting to immudb at {immudb_url}")
+    # Add logic for immudb integration here
 
-def init_app():
-    # Load configuration
-    try:
-        with open('config.json') as config_file:
-            config = json.load(config_file)
-    except Exception as e:
-        logging.error(f"Failed to load config: {e}")
-        raise
+def connect_to_influxdb():
+    influxdb_id = config['databases']['influxdb']['database_id']
+    print(f"Connecting to InfluxDB with Database ID: {influxdb_id}")
+    # Add logic for InfluxDB integration here
 
-    # Setup MongoDB connection
-    try:
-        client = MongoClient(config['database_url'])
-        db = client.swot_database
-        return SWOTAnalysis(db), SWOTAIHelper()
-    except Exception as e:
-        logging.error(f"Failed to connect to database: {e}")
-        raise
-
-swot_handler, ai_helper = init_app()
-
-@app.route('/api/swot', methods=['POST'])
-def create_swot():
-    try:
-        data = request.get_json()
-        analysis_id = swot_handler.create_analysis(
-            data.get('strengths', []),
-            data.get('weaknesses', []),
-            data.get('opportunities', []),
-            data.get('threats', [])
-        )
-        return jsonify({"id": str(analysis_id)}), 201
-    except Exception as e:
-        logging.error(f"Error creating SWOT analysis: {e}")
-        return jsonify({"error": str(e)}), 500
-
-@app.route('/api/swot/<analysis_id>', methods=['GET'])
-def get_swot(analysis_id):
-    try:
-        analysis = swot_handler.get_analysis(analysis_id)
-        if analysis:
-            analysis['_id'] = str(analysis['_id'])
-            return jsonify(analysis)
-        return jsonify({"error": "Not found"}), 404
-    except Exception as e:
-        logging.error(f"Error retrieving SWOT analysis: {e}")
-        return jsonify({"error": str(e)}), 500
-
-@app.route('/api/swot/suggest', methods=['POST'])
-def get_suggestions():
-    try:
-        data = request.get_json()
-        if not data.get('category') or not data.get('description'):
-            return jsonify({"error": "Category and description are required"}), 400
-            
-        suggestions = ai_helper.suggest_swot(
-            data['category'],
-            data['description']
-        )
-        return jsonify({"suggestions": suggestions})
-    except Exception as e:
-        logging.error(f"Error getting suggestions: {e}")
-        return jsonify({"error": str(e)}), 500
+# Integrate OpenCV AI for automated tasks
+def run_opencv_ai():
+    if config['automation']['opencv_ai']:
+        print("Running OpenCV AI automation")
+        # Add logic for OpenCV AI tasks here
 
 if __name__ == '__main__':
-    app.run(host='0.0.0.0', port=5000)
+    print("Starting system with updated configuration...")
+    connect_to_immudb()
+    connect_to_influxdb()
+    run_opencv_ai()