Excited to share my latest AI project — a PDF Summarization App powered by Gemini 2.5 Pro! The tool reads PDFs, processes the content, and generates summaries in multiple formats (short, medium, detailed, or bullet points). Built using Python, LangChain, and Streamlit, this project explores how LLMs can streamline document understanding and content generation. #AI #Gemini #LangChain #Python #LLM #Streamlit #GenerativeAI

Tech With Tim: Build a Python AI Agent in 10 Minutes Fancy building a Python AI agent in 10 minutes flat? Tim’s got you covered: you’ll install dependencies, snag an OpenAI API key, import the right modules, set up your tools, spin up the LLM and agent, and run a quick test—all neatly timestamped. Grab the code on GitHub and follow along on YouTube. If you want extra hands-on support, his DevLaunch mentorship offers real projects and job-ready skills (no fluff). And don’t forget to try Notion for free to keep your dev life organized. #Python #AIAgents Watch on YouTube https://lnkd.in/gEkkD7fz

🚀 New Video Alert: QR Code Generation with Python! Ever wondered how to share your AI-generated content instantly and interactively? In this tutorial, I show you step-by-step how to generate QR codes using Python and make your Generative AI outputs more accessible and professional. 📌 What you’ll learn: Installing and using the qrcode Python library Key QR code parameters: version, error correction, box size, and border How to save and display QR codes Practical ways to share AI-generated links, text, and content This video is perfect for AI enthusiasts, Python learners, and professionals looking to bridge the gap between AI outputs and real-world usability. 💡 Watch the full tutorial here: https://lnkd.in/gQkZvatR If you find it helpful, like, comment, and share your thoughts! I’d love to hear how you plan to use QR codes in your projects. #Python #GenerativeAI #AI #MachineLearning #DataScience #PythonProgramming #PythonProjects #AIApplications #QRCode #PythonCode #PythonForBeginners #LearnPython #PythonTips #Coding #Programming #TechTutorial #AIContent #PythonLearning #PythonDeveloper #TechEducation #Automation #PythonForAI #AIProgramming #PythonProjectsForBeginners #ProgrammingTips #AIInnovation #ArtificialIntelligence #PythonCoding #PythonTutorial

🚀 Project Launch: AI Voice Summarizer I recently built an AI Voice Summarizer using Groq, MCP, WebSockets, and Python — a real-time system that listens to conversations on both the frontend and backend, and generates a concise summary automatically at the end of each call. 🔧 Key Features: Real-time voice capture and processing WebSocket-based communication between client and server AI-powered summarization using Groq inference End-of-call summary generation 💡 Tech Stack: Python | Groq | MCP | WebSocket | React,Typescript This project helped me strengthen my skills in real-time data streaming, AI summarization, and full-stack integration. Check it out on GitHub: [https://lnkd.in/dCVRtwiy] #AI #Python #Groq #FullStackDevelopment #WebSockets #MachineLearning #OpenSource

🚀 New Video: How to Build a RAG Model Step by Step Ever wondered how to make AI models more accurate by connecting them with real-world data? In this tutorial, you’ll learn how to build a Retrieval-Augmented Generation (RAG) system from scratch using Python. 🔍 What You’ll Learn: What RAG is and why it’s essential for modern AI How RAG retrieves external knowledge to enhance LLM responses Step-by-step RAG implementation in Python Building online (Gemini) and offline (local) versions Using LangChain, ChromaDB, Sentence Transformers, and Hugging Face models Running RAG efficiently with Google Colab or local setups 💻 Tools Used: Python | LangChain | ChromaDB | Gemini | Sentence Transformers | Hugging Face | Google Colab Perfect for AI beginners, data engineers, and developers exploring how to integrate external data with LLMs. Watch the full tutorial and start building smarter AI systems today! 🎥👇 https://lnkd.in/dnqg4EKB #AI #RAG #LangChain #Python #LLM #GenerativeAI #MachineLearning #HuggingFace #Gemini #NeuneWorks

Tech With Tim: Build a Python AI Agent in 10 Minutes Build a Python AI Agent in 10 Minutes Tech With Tim walks you through setting up a full-blown Python AI agent in under ten minutes. You’ll install everything you need (including PyCharm), grab and configure your OpenAI API key, import the right libraries, wire up tools, define your LLM & agent, write the driver code, then test it all in one quick, hands-on demo. Code and a timestamped video walkthrough are on GitHub and YouTube. Along the way you’ll snag a free Notion trial, a month of PyCharm Pro, and even get a peek at Tim’s DevLaunch mentorship program for real-world Python coaching. Hashtags: #Python #AIAgents #Notion Watch on YouTube https://lnkd.in/gvVXRQ8G

Excited to share my first Python mega project! I built a voice-controlled personal assistant using Python 🎙️, integrating speech recognition, text-to-speech, and browser automation. Key Features: 🔍 Detects wake words and activates instantly 🗣️ Responds intelligently to spoken commands 🕒 Announces time, date, and basic weather information 🌐 Opens websites like Google, YouTube, Instagram, and Facebook 🤖 Provides fully voice-driven usage What I Learned: 🧩 Python automation and task handling 🎧 Real-time audio processing 🏗️ Structured command-processing system Excited to keep enhancing this assistant with intelligent data-driven features, translation support, and more advanced automation capabilities 🚀. #Python #VoiceAssistant #SpeechRecognition #Automation #PythonProjects #ProgrammingJourney #TechLearner #SoftwareDevelopment #Innovation #ProjectShowcase

Tech With Tim: Build a Python AI Agent in 10 Minutes TL;DR TechWithTim walks you through building a fully functional Python AI agent in under ten minutes—installing dependencies, plugging in your OpenAI API key, setting up the imports and custom tools, wiring up the LLM and agent logic, and running some quick tests. He even timestamps every step for easy navigation: from “Install & Setup” at 00:00 to “Testing” at 09:45. Along the way you’ll catch sponsor shout-outs to Notion, PyCharm (free, plus a month of Pro), and his DevLaunch mentorship for hands-on project guidance. Code examples are on GitHub, and there’s a companion YouTube video if you prefer to watch. #Python #AIAgents #Notion Watch on YouTube https://lnkd.in/gNHTNQcM

Mnova Scripting with Python - Final Episode! Putting it All Together: Building an AI Classifier to Detect Aromatic Substitution   In the finale, we combine everything from the series series to build, train and apply an AI classifier that detects aromatic substitution patterns directly from NMR spectra. Using TensorFlow, scikit-learn, and Mnova's API, we guide you through the end to end workflow: extracting and processing multiplet NMR data, training and evaluating the model, and applying it inside Mnova for fast and reproducible insights.   👉 Watch the full series and download the scripts: https://lnkd.in/d8_4WSqn #Mnova #Python SciY #NMR #MachineLearning #AI #LabAutomation