Add notebooks for Muhammad Qasim Sheikh in community-contributions

community-contributions/muhammad_qasim_sheikh/Week 2/day3/readme.md

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+# AI Business Assistant
+
+## Project Overview
+
+This project is a prototype of an **AI-powered business consultant chatbot** built with **Gradio** and **OpenAI**. The assistant, named **Nova**, is designed to act as a virtual sales and solutions consultant for a company offering AI services such as chatbots, voice assistants, dashboards, and automation tools.
+
+The purpose of the project is to demonstrate how an LLM (Large Language Model) can be adapted for a business context by carefully designing the **system prompt** and providing **dynamic behavior** based on user inputs. The chatbot responds to user queries in real time with streaming responses, making it interactive and natural to use.
+
+
+## What’s Happening in the Code
+
+1. **Environment Setup**  
+   - The code loads the OpenAI API key from a `.env` file.  
+   - The `OpenAI` client is initialized for communication with the language model.  
+   - The chosen model is `gpt-4o-mini`.
+
+2. **System Prompt for Business Context**  
+   - The assistant is given a clear identity: *Nova, an AI Sales & Solutions Consultant for Reallytics.ai*.  
+   - The system prompt defines Nova’s tone (professional, insightful) and role (understand user needs, propose relevant AI solutions, share examples).
+
+3. **Dynamic Chat Function**  
+   - The `chat()` function processes user input and the conversation history.  
+   - It modifies the system prompt dynamically:
+     - If the user mentions **price**, Nova explains pricing ranges and factors.  
+     - If the user mentions **integration**, Nova reassures the user about system compatibility.  
+   - Messages are formatted for the OpenAI API, combining system, history, and user inputs.  
+   - Responses are streamed back chunk by chunk, so users see the assistant typing in real time.
+
+4. **Gradio Chat Interface**  
+   - A Gradio interface is created with `ChatInterface` in `messages` mode.  
+   - This automatically provides a chat-style UI with user/assistant message bubbles and a send button.  
+   - The title and description help set context for end users: *“Ask about automation, chatbots, dashboards, or voice AI.”*
+
+
+## Key Features
+- **Business-specific persona:** The assistant is contextualized as a sales consultant rather than a generic chatbot.  
+- **Adaptive responses:** System prompt is adjusted based on keywords like "price" and "integration".  
+- **Streaming output:** Responses are displayed incrementally, improving user experience.  
+- **Clean chat UI:** Built with Gradio’s `ChatInterface` for simplicity and usability.
+
+
+This project demonstrates how to combine **system prompts**, **dynamic context handling**, and **Gradio chat interfaces** to build a specialized AI assistant tailored for business use cases.