Week1 Day1 Practice

1_foundations/1_lab1.ipynb

@@ -318,23 +318,89 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/markdown": [
+       " Please presentpropose and Agentic AI solution for pain-point Certainly! Here's the key pain-point in **Personalized Healthcare and Wellness Management** that presents a strong opportunity for an agentic AI solution:\n",
+       "\n",
+       "---\n",
+       "\n",
+       "### Core Pain-Point: **Fragmentation and Inertia in Continuous, Personalized Care Delivery**\n",
+       "\n",
+       "- **Fragmented Data and Care Coordination:**  \n",
+       "   Patients’ health data are scattered across different systems (wearables, labs, EHRs, specialists) with poor integration, making it hard for individuals and providers to get a unified, actionable health picture.\n",
+       "\n",
+       "- **Reactive and Episodic Nature of Healthcare:**  \n",
+       "   Traditional care models are largely reactive—patients seek help after symptoms arise, rather than receiving proactive, continuously adapted support tailored to their evolving needs.\n",
+       "\n",
+       "- **Difficulty in Sustaining Personalized Lifestyle Changes:**  \n",
+       "   Personalizing wellness and chronic disease management involves continuous motivation, behavioral change, and adaptive interventions, which human providers cannot deliver at scale or with 24/7 attention.\n",
+       "\n",
+       "- **Lack of Real-Time, Holistic Decision Support:**  \n",
+       "   Neither patients nor clinicians have real-time, AI-powered assistance that integrates multi-source data, anticipates health risks, and dynamically adjusts care plans autonomously.\n",
+       "\n",
+       "---\n",
+       "\n",
+       "### Why It’s Ripe for Agentic AI\n",
+       "\n",
+       "Agentic AI can autonomously synthesize vast, complex data streams and interact continuously with users to deliver personalized, proactive health management—effectively closing the gap between data availability and meaningful, timely action for sustained wellness.\n",
+       "\n",
+       "---\n",
+       "\n",
+       "Would you like me to expand on specific agentic AI features or business models tailored to address these pain-points?"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Markdown object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# First create the messages:\n",
+    "import os\n",
+    "openai_api_key = os.getenv('OPENAI_API_KEY')\n",
+    "from openai import OpenAI\n",
+    "from IPython.display import Markdown, display\n",
     "\n",
-    "messages = [{\"role\": \"user\", \"content\": \"Something here\"}]\n",
+    "# And now we'll create an instance of the OpenAI class\n",
+    "\n",
+    "openai = OpenAI()\n",
+    "\n",
+    "question1 = \"Please pick a business area that might be worth exploring for an Agentic AI opportunity.\"\n",
+    "messages1 = [{\"role\": \"user\", \"content\": question1}]\n",
     "\n",
     "# Then make the first call:\n",
+    "response1 = openai.chat.completions.create(\n",
+    "    model=\"gpt-4.1-mini\",\n",
+    "    messages=messages1\n",
+    ")\n",
     "\n",
-    "response =\n",
+    "question2 = \" Please present the pain-point in \"+response1.choices[0].message.content +\" industry - something challenging that might be ripe for an Agentic solution\"\n",
+    "messages2 = [{\"role\": \"user\", \"content\": question2}]\n",
     "\n",
-    "# Then read the business idea:\n",
+    "# Then make the first call:\n",
+    "response2 = openai.chat.completions.create(\n",
+    "    model=\"gpt-4.1-mini\",\n",
+    "    messages=messages2\n",
+    ")\n",
     "\n",
-    "business_idea = response.\n",
+    "question3 = \" Please presentpropose and Agentic AI solution for pain-point \"+response2.choices[0].message.content\n",
+    "messages3 = [{\"role\": \"user\", \"content\": question3}]\n",
     "\n",
-    "# And repeat! In the next message, include the business idea within the message"
+    "# Then make the first call:\n",
+    "response3 = openai.chat.completions.create(\n",
+    "    model=\"gpt-4.1-mini\",\n",
+    "    messages=messages3\n",
+    ")\n",
+    "\n",
+    "Final_Answer = \" Please presentpropose and Agentic AI solution for pain-point \"+response2.choices[0].message.content\n",
+    "\n",
+    "display(Markdown(Final_Answer))\n",
+    "\n"
    ]
   },
   {
@@ -359,7 +425,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.9"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,