Build End-to-End LLM Chatbot🤖 from Scratch with GPT-4o-mini | Hands-On Tutorial+Streamlit Deployment

Description

🚀 Build & Deploy Your Own LLM Chatbot — End-to-End Tutorial Using GPT-4o-mini + Streamlit! In this 30-minute hands-on tutorial, I’ll take you through the complete process of building an LLM-powered chatbot — from creating your project folder and virtual environment to deploying a fully functional Streamlit app with a custom system prompt for smarter, more controlled responses. You’ll learn how to: ✅ Set up your Python environment for LLM projects ✅ Connect to GPT-4o-mini using the OpenAI API ✅ Create a custom system prompt to define chatbot behavior ✅ Build an interactive Streamlit interface ✅ Deploy your chatbot locally and explore real-time interaction Whether you’re a beginner in Generative AI or an intermediate developer, this project gives you the confidence to build and customize your own AI apps — just like ChatGPT, but tailored for your needs! 💡 Topics Covered: - Virtual environment setup (venv) - OpenAI API integration - Chat memory & response handling - Streamlit front-end creation - Full project walkthrough and deployment 📁 Code and resources available in the video description. 🔥 Don’t forget to Like, Subscribe, and Comment “LLM Project” if you want the next video on RAG + Chatbot integration! #llm #gpt4 #gpt #streamlit #aichatbot #generativeai #python #pythonprogramming #coding #programminglanguage #pythonfordatascience #datascience #machinelearning #ml #ai #artificialintelligence #dataspeaks #datasciencetutorial #dataanalytics #datascientist #data #education #computerscience #technicalanalysis #technology #learnpython #learnmachinelearning #youtube #youtubechannel #youtuber