Krupansh Desai’s Post

🚀 Fake News Prediction Web App A live web application that detects whether a news article is real or fake using Machine Learning. Built with Python, Django, NLTK, and Scikit-learn, and deployed on Render. Frontend designed using HTML, CSS, JavaScript, and Bootstrap for a smooth and responsive user interface. The model preprocesses text, applies TF-IDF vectorization, and classifies news using logistic regression. 🔗 Live Demo: https://lnkd.in/dFUtw869

💡 Exploratory Data Analysis on USA Housing Dataset 🇺🇸 Just uploaded my latest project on GitHub — an in-depth EDA of the USA Housing dataset! This project focuses on uncovering meaningful insights about housing prices using Python, pandas, NumPy, Matplotlib, and Seaborn. 🔍 Highlights: Data cleaning and preprocessing Correlation analysis between features like area, bedrooms, and price Visualizations to explore patterns and relationships Heatmaps and regression plots for better feature understanding 📊 This EDA helps identify the most influential factors affecting housing prices — a great foundation for future machine learning prediction models. 🧠 Tech Stack: Python | pandas | NumPy | Matplotlib | Seaborn | Jupyter Notebook 🔗 Check out the full notebook and visuals here: 👉 https://lnkd.in/girNxqgd #DataScience #EDA #MachineLearning #Python #DataAnalysis #GitHub #Visualization #USA #HousingMarket

💼 Day 4 – Loops, Aggregates, Forms & Models Today’s focus was on strengthening both backend and frontend foundations while improving database operations and interactivity. 🔹 Python: Explored different types of loops — for and while — to iterate over sequences and repeat actions efficiently. Practiced practical examples like summing numbers and printing patterns. 🔹 SQL: Learned how to use aggregate functions such as COUNT(), SUM(), AVG(), MIN(), and MAX() to analyze data quickly and extract valuable insights from tables. 🔹 React JS: Built and practiced form handling using controlled components. Captured user input dynamically using the useState hook — a key concept for interactive web applications. 🔹 Django: Created and connected models to the database, and successfully registered them in the admin panel. Understood how ORM (Object Relational Mapping) makes it easier to manage and interact with data without writing raw SQL queries. Each topic brought a new level of understanding in connecting logic, data, and user interaction together — a true full-stack experience 💻✨ #Python #SQL #ReactJS #Django #FullStackDeveloper #CodingJourney #Day4 #LearningByDoing

💡 Flask Tip Understanding render_template() vs. Plain Text Returns While brushing up on Flask basics, I came across a simple but essential concept that often confuses beginners : ✅ return "Hello Flask!" → Sends plain text directly from Python to the browser no HTML file involved. ✅ return render_template("home.html") → Tells Flask to look inside the templates/ folder, find the file home.html, and render it as a full HTML page. You can also pass variables into your HTML like this: return render_template("home.html", username="Shubh") …and then use it inside your HTML file as: {{ username }} 💬 In simple terms: render_template connects your Python backend to your frontend HTML. It’s a small detail but understanding how Flask bridges logic and design makes a huge difference when building real web apps. #Flask #Python #WebDevelopment #Backend #Frontend #CodingTips #DeveloperJourney

🚀 Just launched: QR Code Generator Pro A full-stack Python application that generates QR codes with PERMANENT file hosting. 🔧 Tech Stack: - Backend: Python (qrcode, requests) - Frontend: Streamlit + Custom CSS - Hosting: Multi-service fallback system (Catbox, Pixeldrain, 0x0.st) 💡 Key Features: ✅ Generate QR codes from text/URLs instantly ✅ Upload ANY file type (PDF, images, videos, docs) ✅ Smart backend that tries 5 hosting services automatically ✅ PERMANENT links that never expire ✅ Custom color options ✅ Professional, responsive UI 🎯 The Challenge: Most file-sharing services expire links quickly. I built a cascading upload system that prioritizes permanent storage providers. 🏗️ Architecture Highlights: - Clean OOP design with modular QRCodeGenerator class - Sequential service fallback with error handling - RESTful upload API integration - Session state management in Streamlit 🔗 Live Demo: https://lnkd.in/gyCPnTPn 💻 GitHub Repo: https://lnkd.in/gZk8zkFZ #Python #WebDevelopment #FullStack #Streamlit #QRCode #BackendDevelopment #API #SoftwareEngineering #OpenSource #Tech #Programming

Today, I’m excited to share a project that showcases the power of Python in building real-world web tools: My Google-Style Unit Converter Web App! Developed using Python, Streamlit, and the Anaconda environment, this application provides instant, accurate conversions for Length, Weight, and Temperature units through a clean, interactive interface. Here’s what went into it: ✅ Dynamic Conversion Logic: Handles multiple categories and unit types using scalable dictionary-based structures. ✅ Formula-Driven Accuracy: Implements real-world conversion formulas, including precise temperature conversions. ✅ Interactive UI: Real-time value updates powered by Streamlit’s reactive components. ✅ Robust Structure: Clean, maintainable code ready for future extensions (like currency or time conversions). This project reflects my ability to design, develop, and deploy simple yet effective Python web apps that solve everyday problems efficiently. 🔗 Live App: https://lnkd.in/dAVn5hJE 💻 Source Code: https://lnkd.in/djNpv9jS #Python #Streamlit #WebDevelopment #PortfolioProject #FirstProject #CodingJourney

Building a Basic Web Application using Streamlit and VS Code About the Project: I’m excited to share my latest project where I built a web application entirely using Streamlit — a powerful Python framework that turns code into interactive web apps within minutes! Developed and tested in VS Code, this project focuses on transforming simple Python scripts into a fully functional, user-friendly web interface — without any HTML, CSS, or JavaScript. How Streamlit Makes It Happen: Streamlit provides an easy way to add text, titles, inputs, and visuals directly through Python functions. Here’s how two key functions played a major role in my project: -> st.title("App Title") This function is used to display the main heading of the web app. It helps in giving your app a clear title at the top — making it visually structured and professional. -> st.text("Description or Information") This function is used to display plain text in your app. Perfect for adding short explanations, instructions, or descriptions below headings. #Streamlit #Python #WebDevelopment #VSCode #DataScience #MachineLearning #PythonProjects #WebApp #CodingJourney #TechInnovation

Tech With Tim: How I Would Learn Python Web Development If I Started Over How I’d Tackle Python Web Dev From Scratch I’d start by nailing down the fundamentals—basic Python concepts, essential tools (like Git and virtual environments) and the overall web stack—before jumping into deployment with Railway’s free credits. From there, I’d explore Flask for simple apps and FastAPI for high-performance APIs, then layer in databases/ORMs and authentication/authorization to get real-world skills under my belt. Once you’ve got the core pieces in place, build a full-blown project to tie everything together, then dive into Django for a batteries-included framework. Finally, learn how to deploy your apps and sprinkle in advanced techniques to level up your development game. Watch on YouTube https://lnkd.in/gBkfHhw4

💡 Saturday reflection: Building full-stack web apps with pure Python just got more accessible. Just discovered how Reflex enables creating sophisticated multi-page applications with real-time database interactions, filtering, and analytics - all without touching JavaScript. The tutorial demonstrates a complete notes-management dashboard built entirely in Python that runs smoothly in Colab. My personal reflection: This represents a significant shift in web development accessibility. Python developers can now build complex web applications without context-switching between languages, potentially accelerating development cycles and lowering the barrier to full-stack development. Read more: https://lnkd.in/evMNCv2i What do you think about this development? #TechThoughts #Saturday #TechReflection #Weekend This content was automatically generated with an agent I designed in n8n. Want one for your business? Send me a DM ✉️

💻 Stack Overflow 2025 Developer Survey: The Programming Language Showdown! 🎯 🔥 JavaScript still wears the crown with 66% — the unstoppable king of the web! 💅 HTML/CSS follows close — proving that beauty (and structure) matter. 🐍 Python slithers strong at 57.9%, keeping data scientists and AI folks busy. ⚡ TypeScript is catching up fast — the “grown-up” version of JavaScript we never knew we needed. ☕ And yes… Java and C# still sipping coffee together in enterprise corridors ☕ But here’s the twist 👉 Look at the underdogs: Dart (5.9%), Rust (14.8%), and Go (16.4%) — quietly shaping the future. If you’re learning one of these, you’re not behind… You’re early 🚀 👩💻 Whether you’re writing your first “Hello World” or debugging your 10th API call, remember: > Every line of code you write today is your ticket to tomorrow’s innovation. Which language are you betting on for 2026? 👇 #TechTrends #Developers #StackOverflowSurvey #Programming #LearningJourney #Motivation