How to integrate OpenAI chatbot with FastAPI in Python

Before you build fancy models, make your data speak the same language. Here’s how One-Hot Encoding transforms categories into machine-friendly 0s and 1s 🔢✨” #MachineLearning #DataScience #Python #OneHotEncoding #MLForBeginners #DataPreprocessing #AI #FeatureEngineering #Pandas #CodingMadeSimple #LearnDataScience #MLVisualization

“AI isn’t just changing how we write code,” Gazit says. “It’s starting to change what we choose to build with in the first place.” #ai #typescript #python

🚀 Project Showcase: Face Recognition System using Python I’m excited to share one of my recent projects — “Face Recognition System using Python” 👩💻 This project leverages OpenCV, NumPy, and face_recognition libraries to build a system that can detect and recognize faces in real time. 💡 Key Highlights: Implemented face detection using the HOG (Histogram of Oriented Gradients) model. Integrated a real-time camera feed for live recognition. Created a training dataset from multiple face images to improve accuracy. Optimized the system for faster recognition and reduced false positives. 🎯 Objective: To explore the power of computer vision and build a scalable, real-world application that demonstrates automation and AI capabilities in identity recognition. 📈 Tools & Technologies: Python | OpenCV | face_recognition | NumPy | OS ✨ Building this project helped me strengthen my understanding of AI-based vision systems, data preprocessing, and model optimization. 🔍 I’d love to hear your thoughts — 👉 How would you improve or extend this system for larger-scale applications? 🔗 Explore the complete project here: https://lnkd.in/gTxN8CXM #Python #AI #MachineLearning #OpenCV #FaceRecognition #ProjectShowcase #ComputerVision #TechInnovation #ArtificialIntelligence #DataScience #PortfolioProject ---

Python Collections: List, Tuple, Dictionary, and Set ✔ List: Ordered, changeable, allows duplicates ✔ Tuple: Ordered, unchangeable, allows duplicates ✔ Dictionary: Key–value pairs, unique keys ✔ Set: Unordered, only unique values #Python #Programming #PythonDeveloper #SoftwareEngineering #TechLearning #DeveloperCommunity #DataTypes #AI #ML #MECHINELEARNIG #PythonProgramming #WebDevelopment #FullStackDeveloper

Just built my own AI Agent, a custom Agent powered by Python, ADK, Jupyter Notebook, and the Google Gemini API. It can search, analyze, and respond but built from scratch for personalized use cases and also you can attach/Upload files. Excited to share this first demo where it explores real-time information and executes intelligent tasks. #AI #MachineLearning #Python #ArtificialIntelligence #Innovation #DataScience #TechProject #AIAgent #OpenSource #Chatbot #JupyterNotebook #Developers #AITools #CodingJourney #GenerativeAI

**Advanced Python Metaprogramming – a subtle example that can confuse even senior developers.** In this snippet, I dynamically create a decorator that counts how many times a function has been called. But instead of using a classic decorator pattern – I work at the level of function-generating functions, use nonlocal state, dynamic naming, and true introspection. This is more than just a metaprogramming trick – it’s a way of thinking in terms of structures that modify themselves. If you teach Python or evaluate devs: this is a great test for understanding higher-order functions, closures, and runtime inspection. Now the deeper question: Can your AI models (or your own mind) reach this level of structural self-awareness? #python #metaprogramming #ai #decorators #advancedpython #gpt

Want to break into data or AI? Begin with Python. Harvard’s CS50P on YouTube covers the fundamentals with practical exercises - no prior experience needed. Playlist: https://lnkd.in/dq_MGW37 #Python #DataScience #AI #CS50 #Learning

How to Create a Python Chatbot: A Step-by-Step Guide Build a smart chatbot in Python without AI expertise - from basic responses to mind-blowing conversational intelligence. Your digital assistant awaits. https://lnkd.in/gQWrArDe

How to Create a Python Chatbot: A Step-by-Step Guide Build a smart chatbot in Python without AI expertise - from basic responses to mind-blowing conversational intelligence. Your digital assistant awaits. https://lnkd.in/gQWrArDe

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