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Pass history to the model for context.

🎯 Step 8: Improve Prompting

Basic Prompt: Answer the question. 

Better Prompt: You are an expert Data Analyst mentor. Explain concepts in simple language. Give examples whenever possible.

Prompt quality directly affects response quality.

🌑️ Step 9: Control Model Behavior

Temperature 

β€’ Low Temperature 0.2: More accurate and consistent 

β€’ High Temperature 0.9: More creative and varied 

Max Tokens

Controls response length. 

β€’ 100 Tokens: Short answer 

β€’ 1000 Tokens: Detailed answer 

πŸ“š Step 10: Add Custom Knowledge

Instead of answering general questions only:

Teach chatbot about: 

β€’ βœ… Company Documents 

β€’ βœ… Product Manuals 

β€’ βœ… Policies 

β€’ βœ… Research Papers 

This leads to RAG Retrieval-Augmented Generation.

We'll build this later in the PDF Q&A Chatbot project.

🎨 Step 11: Create Better UI

Add: 

β€’ βœ… Chat bubbles 

β€’ βœ… Sidebar settings 

β€’ βœ… Clear chat button 

β€’ βœ… Dark mode support 

β€’ βœ… Download conversation 

πŸš€ Step 12: Deploy Online

Popular Platforms: 

β€’ Render 

β€’ Hugging Face Spaces 

β€’ Railway 

⭐ Features to Add

Beginner 

β€’ βœ… Basic Chatbot 

β€’ βœ… API Integration 

β€’ βœ… Conversation Memory 

Intermediate 

β€’ βœ… Voice Input 

β€’ βœ… Chat History 

β€’ βœ… Multiple Models 

Advanced 

β€’ βœ… Document Q&A 

β€’ βœ… Multi-Agent System 

β€’ βœ… Web Search Integration 

β€’ βœ… Autonomous Workflows 

πŸ“‚ Project Structure

ai-chatbot/
β”‚
β”œβ”€β”€ app.py
β”œβ”€β”€ chatbot.py
β”œβ”€β”€ prompts/
β”œβ”€β”€ requirements.txt
β”œβ”€β”€ .env
β”œβ”€β”€ README.md
└── screenshots/


πŸ’Ό Resume Project Description

AI Chatbot using LLMs

Developed a conversational AI chatbot using Large Language Models, Python, and Streamlit. Implemented prompt engineering, conversation memory, API integration, and interactive UI for intelligent question-answering and contextual conversations.

🎯 Mini Challenge

Upgrade the chatbot with: 

1. Voice input and output 

2. PDF upload support 

3. Chat history database 

4. Multiple AI model selection 

5. Internet search capability 

What Recruiters Love About This Project

This project demonstrates: 

β€’ βœ… Generative AI Knowledge 

β€’ βœ… API Integration 

β€’ βœ… Prompt Engineering 

β€’ βœ… Frontend + Backend Skills 

β€’ βœ… Deployment Experience 

These are among the most sought-after AI skills today.

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