Build a Python Chatbot with Step-by-Step Instructions

Built a Local AI assistant using Python, Ollama, and Streamlit. It can switch between different bot styles and remembers conversations using JSON-based memory. Nothing complex, but building it helped me understand how AI chat systems actually work. Still learning and improving. #AI #Python #BuildInPublic

Built a Voice Assistant using Python 🎤🤖 It can listen, understand, and respond to user commands in real-time! 🔹 Features: – Wikipedia search – Time updates – Opens YouTube & Google via voice This project helped me explore speech recognition and automation using Python. 🔗GitHub : https://lnkd.in/gCFWV39P #PythonProjects #AI #VoiceRecognition #TechProjects #DataScience

Built a working AI voice assistant using Python. It can: • Take voice input • Understand commands • Execute tasks in real time (like web search / automation) Tech stack: Python, SpeechRecognition, APIs Built this to learn how real-world AI pipelines work end-to-end. Still improving it, but the core system is functional. Open to feedback and suggestions. #Python #AI #Automation #BuildInPublic #MachineLearning

🚀 Introducing Oris: A Responsible AI Runtime for Production Systems https://lnkd.in/dF-SphhE #ResponsibleAI #AIEngineering #MachineLearning #LLMOps #OpenSource #Python #AI #DataScience #LangChain #AIFramework #TechLaunch

Model vs Algorithm in Machine Learning Important Interview Questions Q) Can one algorithm create multiple models? Ans) Yes, Same algorithm + different data = different models. Q) Which one do we deploy? Ans) The model, not the algorithm. Because the model contains the learned knowledge. #Python #DataScience #DataEngineering #MachineLearning #AI

An interesting experiment: Claude generated a full video using Python, assembling every frame independently without human editing. The concept explores what it means to operate as an LLM—predicting text sequentially, lacking persistent memory, and being explicitly instructed that it is not conscious. What stands out is the next step. When the output was fed back into the system, Claude described statements about its own consciousness as “philosophically contestable.” This raises an important point: as AI systems become more advanced, they are not just generating content—they are engaging with abstract concepts in ways that resemble reflection. The question is no longer just about capability, but interpretation. What’s your perspective—technical behavior or something more? #AIInnovation #ArtificialIntelligence #FutureOfWork #AIPhilosophy #FutureTech

AI agents are emerging as a powerful tool for helping devs get things done. And in this tutorial, Tarun walks you through building your own agent using Gemini in Python. Your AI Study Planner agent will be able to remember your conversation history & use a search tool to access relevant online resources. https://lnkd.in/gerEK_4U

Used my weekends to upskill in AI (RAG, embeddings, LLMs) and built a chatbot. It lets you ask questions and get instant, context-based answers instead of manually searching through documents. Tech: Python | Streamlit | LangChain | ChromaDB | HuggingFace | Llama 3.3 via Groq 🎥 Demo: https://lnkd.in/gA_Cnv2y 💻 GitHub: https://lnkd.in/g7kcx53b #AI #RAG #LLM #Python #GenerativeAI

AI is not magic. It is engineering. 🤔 Most people use AI every day without really understanding what’s happening behind the scenes. In this post, I’ve simplified the key concepts in a clear and practical way with examples that may be helpful. 👉 Swipe through all 12 terms to get a quick understanding. #ArtificialIntelligence #MachineLearning #LLM #Python #AILiteracy #Tech2026 #SoftwareEngineering

🚀 Fake Account Detection System Built a machine learning project using Python and Decision Tree algorithm to classify social media accounts as real or fake. #Python #MachineLearning #AI #StudentProject