🏡 House Price Prediction App! I developed a Machine Learning-based web app using Python & Streamlit that estimates house prices based on important factors such as: ✔️ Area (in square feet) ✔️ Number of bedrooms ✔️ Property age ✔️ Distance from the city center ✨ Highlights of the project: Interactive and clean UI built with Streamlit Easy-to-use input fields for users Integrated ML model for accurate predictions Instant results display 🎯 What I learned while building this: Data cleaning & preprocessing techniques Working with regression algorithms Deploying ML models into web apps Designing simple and effective user interfaces 🛠️ Tech Stack: Python | Pandas | NumPy | Scikit-learn | Streamlit 🔗 Check out the project here: https://lnkd.in/ghhUHEGM 💡 Next improvements I’m working on: 🔹 Enhancing model performance 🔹 Adding visual analytics & charts 🔹 Improving UI with advanced features #MachineLearning #Python #AI #DataScience #Streamlit #Projects #BuildInPublic #Learning

💻 Excited to share my latest project! I’ve built a Streamlit-based Scientific Calculator using Python that performs both basic and advanced mathematical operations. 🧮 Features: ●Addition, Subtraction, Multiplication, Division ●Square Root Calculation ●Power (Exponent) Function ●Logarithmic Operations Clean and interactive web UI using Streamlit 🌐 Tech Stack: Python | Streamlit | Math Library 🚀 I also deployed this project on Hugging Face Spaces, making it accessible as a live web application. This project helped me strengthen my understanding of: ✔ Python functions ✔ UI development with Streamlit ✔ Deployment of web apps ✔ Problem-solving logic 🔗 GitHub Repo: https://lnkd.in/d4n946w7 🌐 Live Demo: https://lnkd.in/dMti6kJX ✨ Always learning, building, and improving one project at a time! #Python #Streamlit #MachineLearning #WebDevelopment #Coding #StudentDeveloper #AI #Projects

Two claps → my entire workflow is ready 👏👏 I built a small automation using Python and Claude that listens for two consecutive snaps/claps and instantly sets up my working environment. Once triggered, it automatically: • Opens Claude • Launches Chrome with my main tabs (Outlook, tracking Claude usage, and Lovable for web development) The idea was simple: reduce the friction of getting started and make my workflow faster and smoother. Instead of manually opening everything every time, it’s now done in seconds with a single trigger. Projects like this are helping me explore how AI and automation can be integrated into everyday tasks to improve efficiency and productivity. Looking forward to building more systems like this. 🚀 #AI #Python #Automation #Productivity #DeepLearning

Python: The Brain Behind Your Favorite Apps Ever wonder how apps "know" exactly what you need? Python is the engine under the hood of the world’s smartest websites, using AI to create personalized experiences just for you. From recommending your next favorite movie to providing instant customer support, it’s the technology making the web feel more human. Discover how we’re building a smarter digital world at Artemee.com!

Excited to share that I’ve deployed my House Price Predictor app live. This project uses Python, pandas, scikit-learn, and Streamlit to predict house prices based on: number of bedrooms number of bathrooms property size in m² Through this project, I learned more about: data preprocessing feature scaling training a machine learning model saving and loading model files using GitHub for version control deploying a live app with Streamlit Live app: https://lnkd.in/gcHr2ctQ This is part of my Data Science and Machine Learning learning journey, and I’m looking forward to building more projects. #Python #DataScience #MachineLearning #Streamlit #GitHub #LearningJourney

Stop using Pandas for everything. I just published a full breakdown of 7 Python libraries that are redefining how developers build in 2026 with install commands + real code examples for each. Here's the quick cheat sheet: ⚡ Polars → 10x faster than Pandas for big data 📄 MarkItDown → Converts PDFs/Word docs into AI-ready Markdown 🤖 Smolagents → Build your first AI agent in 10 lines 🧑✈️ GPT Pilot → An AI that writes entire features, not just autocomplete 📱 Flet → Build web + mobile + desktop apps in pure Python 🛡️ Pyrefly → Catch bugs BEFORE you run your code (Meta-built) 🌐 Morphik-Core → AI that understands images and videos, not just text You don't need to learn all 7 today. Pick the one that solves YOUR problem right now. Working with data? → Polars Building an app? → Flet Curious about agents? → Smolagents The full blog (with code examples for every library) is linked in the comments 👇 Which of these are you already using? Drop it below 🔽 #Python #AI #MachineLearning #Programming #Developer #TechIn2026 #AITools #OpenSource #PythonDeveloper #CodingTips

Data View v1 is live. No hype — just a clean build. Built with Streamlit, Python, Pandas, NumPy, Seaborn, and Matplotlib, this app cuts through the noise and gets straight to the point: understanding your data without wasting time. What it handles right now: • Upload your dataset • Quick data overview • Basic cleaning • Statistical insights • Correlation analysis • Visuals — bar, histogram, pie It’s not flashy. It’s functional. And it works. But this is just the opening move. Now your move 👇 • What’s one feature you’d add next? • What would make you actually use this daily? • What’s missing? Be direct. I’m listening. I’ll be shipping a sharper version every Monday — better features, tighter experience, smarter analysis. No excuses, just iterations. Because good products aren’t guessed — they’re built, tested, and refined. live demo --> https://lnkd.in/gXda-aZs #BuildInPublic #DataScience #Streamlit #Python #KeepBuilding

🚀 I just built and deployed my first AI-powered Web Application! I wanted a faster way to extract value from long documents, so I built an AI Book Summarizer. You can drag and drop any PDF or text file into the app, and it instantly generates an Executive Summary, Key Themes, and Actionable Takeaways. I even added a chat feature so you can ask the document specific questions! Tech Stack: Python, Streamlit, and Google's new Gemini 2.5 Flash model. You can try it out live right here: [https://lnkd.in/gBC65w3T] Want to see how it works under the hood? Check out the code: [https://lnkd.in/guDPNYb7] I'd love to hear your feedback or see what documents you test it with! #Python #ArtificialIntelligence #GeminiAPI #Streamlit #SoftwareDevelopment #Portfolio

🚀 Excited to share my latest project: Traitora, the Personality Predictor! 🧠✨ Ever wondered whether you're truly an introvert or an extrovert? This machine learning web app explores that by analyzing your everyday habits through fun, relatable inputs like: -> Time spent alone -> Stage fear -> Social event attendance -> Social media activity and more! Tech Stack: ✅ Python (Pandas, NumPy) for data handling & logic ✅ Scikit-learn for building the classification model ✅ Streamlit for a user-friendly interface ✅ Jupyter Notebook for data exploration and preprocessing The app processes your inputs, scales them using a pre-trained scaler, and predicts whether you lean more toward being an introvert or an extrovert instantly! 🔗 GitHub: https://lnkd.in/deJYiVBT 🔗 Website Link: https://lnkd.in/dxK3ktJd I’d love your feedback! 🙏 What features would you add or improve? Any suggestions to make the model or UI better? #MachineLearning #Python #Streamlit #DataScience #ScikitLearn #ArtificialIntelligence #Programming #coding #development

🚀 Just built a Movie Recommendation System using Python! I recently worked on a project where I developed a Movie Recommender System that suggests similar movies based on user selection. This project helped me understand how recommendation engines work behind the scenes. 🔹 Tech Stack: * Python (Pandas, Pickle) * Streamlit (for interactive web app) * Similarity Matrix (Content-Based Filtering) 🔹 Features: * Select any movie from the list * Get top 5 similar movie recommendations instantly * Clean and simple user interface This project strengthened my concepts in data processing, recommendation systems, and building real-world applications. Looking forward to improving this further by integrating APIs, adding movie posters, and enhancing the UI! #Python #DataScience #MachineLearning #Streamlit #Projects #LearningJourney #AI